MT101 Calculus I (303): Functions, Limit and Continuity, Differential Calculus I, Differential Calculus II, Applications of Derivatives, Integral Calculus, Applications of Integral Calculus, Techniques of Integration, Infinite Series
Prerequisite(s): None
MT102 Differential Equations and Linear Algebra I (303): Matrix algebra and general properties of matrices, elementary row operations, reduction of matrices into echelon and reduced echelon form, rank of a matrix, determinants and their properties, solution of system of linear algebraic equations, Gaussian elimination and GaussJordan method, eigenvalues, eigenvectors and their applications, diagonalization, basic definitions involving differential equations, first order ordinary differential equations and their solution techniques, applications of first order differential equations, second and higher order differential equations, superposition principle, some special types of second order differential equations and their solution techniques, applications of second order differential equations , higher order linear differential equations with constant coefficients, complimentary and particular solutions, solutions by undetermined coefficients and variation of parameters, CauchyEuler equations, applications of higher order differential equations, systems of linear differential equations, series solutions of ODEs, solutions about ordinary points, Solutions about singular points, Laplace Transforms, Transforms of Derivatives, Application of Transforms in ODEs.
Prerequisite(s): None
PH101 Applied Physics (303): Introduction to engineering mechanics problems, Vector Operations, Force Vectors, Motion in one, two and three dimensions, Newton Laws and its applications, Momentum, Rotational dynamics and kinematics, Moment of Force, Principle of Moments, Moment of a Couple, Work and Energy, Electrostatics, Electric Potential, Magnetic Field.
Prerequisite(s): None
corequisite (s): PH101L
PH101L Applied Physics Lab (031): In this laboratory students perform the experiments related to the Forces (Addition and Resolution), Acceleration due to Gravity, Conservation of Energy using Projectile Launcher, Translational Equilibrium, Study of Average Velocity using Air Track System, Ballistic Pendulum, Variable “g” Pendulum, Rotational Dynamics, Introduction to Electricity &Magnetism Lab, Magnetic Moment in Magnetic Field and Measurement of EMF and Internal Resistance.
Prerequisite(s): None
corequisite (s): PH101
ES111 Probability and Statistics (303): Introduction to Statistics and Data Analysis. Probability Basics, Conditional Probability, Independence, and the Product Rule, Bayes’ Rule. Random Variables and Probability Distributions. Mathematical Expectation: Mean, Variance, Covariance. Chebyshev’s Theorem. Discrete Probability Distributions. Continuous Probability Distributions. Single Sample Sampling Distributions. Single Sample Tests of Hypotheses. Linear Regression and Correlation. Least Squares and the Fitted Model. Tools: Excel, R, Stata or similar tools.
PreRequisite: MT101
MT202 Calculus II (303): Parametric representation of plane curves; Calculus with parametric curves; Polar coordinates; Graphing polar equations; Conic sections in polar coordinates; Areas and arc lengths in polar coordinates. Vectors in three dimensions. Dot and cross product. Lines and planes. Surfaces. Limits, continuity, Partial derivatives. Increments and differentials, Chain rules. Directional derivatives, gradient. Tangent planes and normal lines to surfaces. Taylor series for functions of several variables. Extrema of functions of several variables. Relative extrema, Lagrange multipliers. Double integrals, Definition, and evaluation. Area and volume. Double integrals in polar coordinates. Surface area. Triple integrals in Cartesian, Cylindrical, and spherical coordinates. Applications to engineering and science.
Prerequisite(s): MT101
MT203 Complex Variables and Transforms (3 0 3): Introduction to Complex Number System, Argand diagram, De Moivre’s theorem and its Application Problem Solving Techniques, Complex and Analytical Functions, Harmonic Function, CauchyRiemann Equations, Cauchy’s theorem and Cauchy’s Line Integral, Power series, Taylor series, Laurent series, Residual integration, Singularities, Poles, Residues, Contour Integration, Laplace transform definition, Laplace transforms of elementary functions, Properties of Laplace transform, Periodic functions and their Laplace transforms, Inverse Laplace transform and its properties, Convolution theorem, Inverse Laplace transform by integral and partial fraction methods, Heaviside expansion formula, Solutions of ordinary differential equations by Laplace transform, Applications of Laplace transforms, Fourier theorem and coefficients in Fourier series, Even and odd functions, Complex form of Fourier series, Fourier transform definition, Fourier transforms of simple functions, Magnitude and phase spectra, Fourier transform theorems, Inverse Fourier transform, Series solution of differential equations, Validity of series solution, Ordinary point, Singular point, Forbenius method, Indicial equation, Bessel’s differential equation, its solution of first kind and recurrence formulae, Legendre differential equation and its solution, Rodrigues formula.
Prerequisite(s): MT102
ES211/EE211 Circuit Analysis I (303): Basic Concepts, resistive circuits, nodal and loop analysis techniques, operational amplifiers, additional analysis techniques such as using superposition, Thevenin’s and Norton’s Theorems, capacitance, and inductance, first and secondorder transient circuits, phasors, AC steady state analysis.
Prerequisite(s): MT102
ES211L Circuit Analysis Lab (031): This lab enables the students to analyze DC and AC circuits, variable frequency network performance and sensor network circuits. Students get a handson experience of soldering and PCB designing, and demonstrate their ability to design circuits for practical applications.
ES212/EE221 Logic Design (303): Number systems, codes, set theory, relations, functions, Boolean Algebra, Logic gates, combinational logic, programmable logic devices, sequential logic, latches, flipflops, finite state machines, counters, shift registers, pseudorandom sequence generators, memories, adders, subtractors, multiplication, division, comparators, fault detection, introduction to programmable logic devices and implementation of the digital circuit using Verilog/HDL.
Prerequisite(s): None
ES212L Logic Design Lab (031): This lab introduces logic design and basic building blocks used in digital systems. A study of basic and complex digital logic circuit design, and their implementation is done. Circuit schematic development simulation of digital systems is also performed. Experiments explore designs with combinational and sequential logic. Students work through design activities, which include testing, implementing, troubleshooting, and a final lab project.
ES213 Computer Architecture (3–0–3): Review of Verilog HDL, registers and register transfers, memory basics, computer design basics, instruction set architecture, central processing units, input—output and communication and memory systems.
Prerequisite(s): CS101, ES212
ES213L Computer Architecture Lab (031): This lab will give students the ability to simulate combinational and sequential logic using Verilog HDL as well as to design logic and digital computer systems having RISC Based Architecture.
ES214 Circuit Analysis II (3–0–3): AC steady state power analysis, variablefrequency network performance, the Laplace transform and its application to circuit analysis, Fourier analysis techniques and twoport networks.
Prerequisite(s): ES211/EE211
ES221/CS211 Data Structures and Algorithms (303): Introduction to data structures and algorithms, arrays, stacks, binary search, queues, linked lists, trees, graphs and operations, algorithm performance, dynamic memory management.
Prerequisite(s): CS112/CS102L
ES231/EE231 Electronics I (303): Introduction to electronics, semiconductor diode, diode applications, bipolar junction transistor, transistor configuration, DC biasing, field effect transistor, BJT and FET small signals equivalent circuit models, design of BJT and FET amplifiers and differential amplifiers.
Prerequisite(s): ES211/EE211
ES231L Electronics I Lab (031): This lab will demonstrate will help students to analyze and demonstrate the diodebased circuits in various configurations, the operational principle of circuits for bipolar junction transistor (BJT) and field effect transistor (FET).
ES232 Thermodynamics (303): Fundamentals of thermodynamics including work and heat, laws of thermodynamics, properties of purse substances, energy analysis of closed systems, mass and energy analysis of control volumes, entropy, enthalpy, reversibility, irreversibility, study of some processes and cycles.
Prerequisite(s): MT101
ES304 Linear Algebra II (303): Matrices algebra, determinants, linear systems and solutions, vectors in 2 space and 3 space, vector algebra and related theorems, vector spaces, subspaces and related theorems, linear combinations and related theorems, linear dependent and independent vectors, basis and related theorems, rank and nullity, GramSchmidt Process, inner product spaces, eigenvalues and eigenvectors, diagonalization of matrices and related theorems, linear transformation, kernel and range of linear transformation, applications to engineering and science.
Prerequisite(s): MT102
ES314/EE221/CE324 Microprocessor Systems and Interfacing (3–0–3): Introduction to microprocessors; general purpose and embedded features, architecture and assembly language programming of typical micro controllers (such as 8051, PIC, AVR, Raspberry Pi), different types of instructions, addressing modes, time delay, crystal oscillator, I/O port and timer/counter programming, serial port programming, interrupts programming, interfacing to external memory, real world interfacing, LCD, ADC, sensors, and keyboard interfacing, interfacing with 8255 and RTC interfacing, motor control. Introduction to Arduino and Raspberry Pi development boards, their interfacing and programming.
Prerequisite(s): ES213
ES314L Microprocessor Systems and Interfacing Lab (031): This lab is meant for the students to learn about typical microprocessor and microcontrollerbased systems. It is used in two courses, computer architecture and microprocessor/microcontroller Interfacing. The laboratory is equipped with oscilloscopes, digital trainers, Burners (Programmers), digital multimeters and support electrical and electronics accessories.
ES332/EE351 Signals and Systems (303): Introduction to continuous and discrete time systems, analysis of continuous time (CT) system using Fourier and Laplace Transforms, ideal and practical CT filters, sampling analysis of discrete time (DT) systems, difference equations and unit sample response, ztransform, DT Fourier transform and linear feedback systems.
Prerequisite(s): ES211/EE211
ES332L Signals and Systems Lab (031): This lab is performed in computer simulation lab. All computers are installed with MATLAB software and connected with centralized printer. Student performed signals and systems analysis in frequency and time domain using Signals and Systems toolbox.
ES334 Foundation of Photonics (303): Introduction to photonics engineering, Optical waveguides and fibers, Fiber optic telecommunication, Nature and properties of light, Light sources and laser safety, Interference, Diffraction, Polarization, Basic geometrical optics, Basic physical optics, Optical instruments, Lasers and applications, Optical modulation and detection, Integrated optics, Nonlinear optics, Organic/inorganic and hybrid photovoltaics, Holography.
Prerequisite(s): PH101
ES334L Foundation of Photonics Lab (031): Laboratory experiments introducing geometrical and physical optics, characterization of LEDs & Laser diodes, fiber transmission, laser beams, interferometers, optical systems (cameras, scanners, sensors), polarization devices, emission & photoabsorption spectroscopy, photo luminance, demonstration and use of high power laser, demonstration and use of Keithley 4200SCS Semiconductor Characterization System for study of electronic and photonic devices, modeling and simulation of photonic devices.
ES341/CSE342 Numerical Analysis (303): Error and computer arithmetic, Rootfinding for nonlinear equations, interpolation and polynomial approximation, solution of system of linear equations, numerical differentiation and integration and numerical solution of ordinary differential equations.
Prerequisite(s): MT102
ES341L Numerical Analysis Lab (031): The goal of this lab is to get familiar with discrete Simulation techniques and their uses in various science and engineering applications. It also aims to provide basic knowledge of designing simulation models, simulation algorithms and their implementation on PCs.
ES361/EE333 Solid State Electronics (303): Introduction to semiconductor materials, band theory of solids, carrier transport in semiconductor, Schrodinger’s equation and wavefunctions, FermiDirac probability, KronigPenny model, Ek diagram, pnjunction and metaljunction devices, metaloxide semiconductor devices, and bipolar junction transistor.
Prerequisite(s): PH101
ES361L Solid State Electronics Lab (031): Students are trained to measure material characteristics such as resistivity measurement, conductivity type and carrier concentration using stateoftheart modeling software. Experiments on Solar Cell IV characterization and thermoelectric generator are also conducted in this lab. Major equipment includes Hall Effect board (P/nGe), Hal Effect board (Zn/Cu), Universal Measuring Amplifier and support accessories.
ES371 Engineering Electromagnetics (303): Vector analysis, static electric and magnetic fields, Maxwell’s equations, electric and magnetic boundary value problems, Poisson’s and Laplace’s equation, displacement current.
Prerequisite(s): PH101, MT102
ES325 Advanced Statistics (303): Statistical methods are used for the analysis of different datasets for forecasting the values, predicting the unknowns, relating the variables for getting deeper insights, and relating data differences with realworld complexities. Data Science extracts knowledge from data on the basis of hidden patterns which can be made explicit by incorporating the statistical algorithms in it. This course is designed to prepare students on statistical techniques with a purview of artificial intelligence and data science.
Prerequisite(s): ES111
ES324 Discrete System Modeling and Simulation (303): This course covers “DiscreteEvent” simulation at an introductory level, preparing students for advanced studies in these fields. The main purpose of the course is to provide an introduction to the modeling and simulation of discretestate, discreteevent systems (DES). This course will provide an investigation of the steps of a DES simulation study, including problem formulation, conceptual model design, simulation model development, input data modeling, output data analysis, verification and validation, and design of simulation experiments.
Prerequisite(s): ES111
ES324L Discrete System Modeling and Simulation Lab (031): This lab is used to simulate and analyze different models of System Design and Engineering Management. The lab is equipped with 20 Core i7 PCs running on Windows 10 operating system. These PCs are interconnected via broadband network and students have access to internet, email, and a highspeed laser printer. Different software tools such as MATLAB and Simulink are used to perform simulations of various engineering designs. Arena, SPSS, and Excel packages are used to perform discreteevent simulations and analysis of output data to solve problems of engineering management.
ES322/EE213/ME202 Instrumentation and Process Control (303): Precision measurements terminologies principles of different measurement techniques; instruments for measurement of electrical and non‐electrical quantities; systems for signal processing and signal transmission; modern instrumentation techniques; static and dynamic responses of instrumentation and signal conditioning; data acquisition systems; principles of operation, construction and working of different analog and digital meters, Advanced Testing & Measuring instruments recording instruments, signal generators, Input and output transducers; types of bridges for measurement of resistance, inductance, and capacitance; power and energy meters; voltage / current measurements. Programmable Logic Controllers (PLC), SCADA and communication are introduced. After learning the principles of developing PLC programs, examples of control systems are presented.
Prerequisite(s): ES211
ES322L Instrumentation and process control Lab (031): In this lab students are trained how to interface the physical world with the computer by using the LabView software. The students are given tasks of sensors interfacing including thermal, mechanical, and optical sensors. They also learn how to develop the graphical user interface. At the end of the semester students are also given the openended problem of any electromechanical system.
ES426 VLSI Design (303): Transistor topology, transistor equations, CMOS process steps, design rules, for custom layout; CMOS logic design, complex gates, BiCMOS circuits, pseudo, NMOS, dynamic logic, dynamic cascaded logic, domino logic, 2 and 4 phase logic, pass transistor logic; control and timing, synchronous and asynchronous, selftimed system, multiphase clocks, examples of ALU, shifters and registers; layout, hand layout, graphical layout, lowlevel languages, design rule checking, placement of cells, simulation of design, test pattern generation, highlevel languages, structured design methodology for FLSI, hierarchical design techniques and examples. ultrafast VLSI circuits and systems, and their design; digital and analog architectures, serial addition, bitserial multipliers, systolic arrays, future integrated circuit processing, effect of scaling circuit dimensions, physical limits of device fabrication. Clocking and Timing Issues. Layout of digital circuits. HDL Programming in Verilog.
Prerequisite(s): ES361
ES441 Engineering Optimization (303): Brief review of LP models and simplex algorithm, general transportation model, network models and their tabular representation, transportation and transshipment models, transportation algorithms, assignment models and their various ramifications, Hungarian algorithm, integer linear programming and related models, zeroone programming, standard examples, modeling of various situations occurring in real world, network models, basic terminology of graph theory, spanning tree, minimum path, and maximum flow problems, network optimization algorithms, project management, PERT and CPM, queuing models, distribution of interarrival and service times and simple M/M/k systems.
Prerequisite(s): MT202
ES441L Engineering Optimization Lab (031): The goal of this lab is to train students to solve realworld optimization problems. In the planning or operation of an engineering system, engineers have to make technological and managerial decisions at several stages. The ultimate objective of all such decisions is to make optimal actions that result in a minimum effort required or to maximize the desired outcomes. This lab will introduce optimization tools, which will help students model an engineering design problem as an optimization problem, and then solve them with appropriate optimization methods.
ES442 Machine Learning (303): Introduction to machine learning; concept learning: Generaltospecific ordering of hypotheses, Version spaces Algorithm, Candidate elimination algorithm; Supervised Learning: decision trees, Naive Bayes, Artificial Neural Networks, Support Vector Machines, Overfitting, noisy data, and pruning, Measuring Classifier Accuracy; Linear and Logistic regression; Unsupervised Learning: Hierarchical Agglomerative Clustering. kmeans partitional clustering; SelfOrganizing Maps (SOM) kNearestneighbor algorithm; Semisupervised learning with EM using labeled and unlabeled data; Reinforcement Learning: Hidden Markov models, Monte Carlo inference Exploration vs. Exploitation Tradeoff, Markov Decision Processes; Ensemble Learning: Using committees of multiple hypotheses. Bagging, boosting
Prerequisite(s): ES325
ES442L Machine Learning Lab (031): Artificial Neural Networks, Support Vector Machines, Overfitting, noisy data, and pruning, Measuring Classifier Accuracy; Linear and Logistic regression; Unsupervised Learning: Hierarchical Agglomerative Clustering. kmeans partitional clustering; SelfOrganizing Maps (SOM) kNearestneighbor algorithm; Semisupervised learning with EM using labeled and unlabeled data; Reinforcement Learning: Hidden Markov models.
ES471 Model Engineering (303): . The goal of this course is to develop an understanding of the various modeling paradigms appropriate for capturing system behavior and conducting digital computer simulations of many types of systems. The techniques and concepts discussed typically include mathematical modeling of engineering systems based on Linear System of Equations, Nonlinear System of Equations. The course will also cover modeling of Complex Engineering Systems as a set of DifferentialAlgebraicEquations (DEAs) models, Graphical Models, Integer Programming, and Stochastic Models.
Prerequisite(s): MT202
ES471L Model Engineering Lab (031): The purpose of this lab is to equip students with a set of skills that will enable them to model complex engineering problems as mathematical models. Subsequently, modeling engineering systems as a set of Linear/Nonlinear equations, DifferentialAlgebraic Equations (DAEs), Differences equations, or stochastic models. In this lab, students will also learn different modeling toolboxes such as Simulink and Mathematica.
ES463 Electronic and Magnetic Materials (303): Molecular Collisions, Thermal Fluctuations and Noise, The Crystalline State, Defects and their significance, Drude Model, Temperature dependent Resistivity, Matthiessen’s Rule, Nordheim’s Rule, Thermal Conductivity, Electrical Conductivity of nonmetals etc. Origin of magnetic moment of atoms, theories of magnetism such as molecular theory and electron theory, hysteresis and magnetization curve, magnetic domains, domain walls, methods of observation of domains, classification of magnetic materials according to magnetic properties.
Prerequisite(s): ES361
ES465 Semiconductor Devices and Applications (303): Semiconductor device fabrication, metalsemiconductor and metalinsulatorsemiconductor junctions and devices, photonic devices, transferred electron devices, switching devices, other semiconductor devices, amorphous semiconductors, band models of amorphous semiconductors, electronic applications, optical applications, magnetic applications, super conductive materials, and devices.
Prerequisite(s): ES361
ES466 Microelectronics Manufacturing Engineering (303): Designing of electronic devices and integrated circuits, manufacturing process of electronic devices and integrated circuits, electronic devices processing equipment’s and their manufacturing limit, microlithography masking and pattering by UV lithography technique, electron beam lithography: design and patterning, positive and negative resist systems and resistmaterials characterization, oxidation, diffusion, ion implantation, metallization and plasma etching processes.
Prerequisite(s): None
ES425 Fiber Optic Communication: This course is related to the principles of optical fiber communication systems. The course covers three topics: 1) The optical fiber as a transmission channel. 2) Optoelectronic devices used in transmitters, receivers, and multiplexers. 3) Design of the overall communication system and assessment of its performance. In part 1, stepindex and gradedindex multimode and singlemode optical fibers are described and their attenuation and dispersion characteristics are determined. The transfer function of the fiber system is determined. Part 2 introduces the basic principles of interaction of light with semiconductor materials, including absorption and electroluminescence. Light emitting diodes, laser diodes, and photodiodes are introduced as the basic components of optical transmitters and receivers. Semiconductor and fiber optical amplifiers are also introduced. Part 3 deals with the design of the digital fiber communication system, including derivation of the bit error rates for attenuation and dispersionlimited systems and determination of the maximum data rates possible for a given length. Introductions to wavelengthdivision multiplexing (WDM) and optical fiber networks are also provided.
Prerequisite(s): ES323
ES425L Fiber Optic Communication Lab (031): In this lab students are trained fiber optics patch cards, optical modulators, WDM and directional couplers. They also learn how to develop the graphical user interface based simulations for optical systems. The facilities include Newport fiber optics kits, fiber optics patch cards, optical modulators, WDM and directional couplers.
ES443 Laser Engineering (303): It is an introductory course on lasers which covers principles of laser amplification and oscillations, design of lasers, and general characteristics of excitation systems. It is suitable for students with backgrounds in physics, electrical engineering, materials and other disciplines who require a fundamental knowledge of lasers and how they operate. The course covers the basic physics of laser operation, and includes understandings of resonator theory, pulsed and continuous wave operation of lasers. Most popular lasers are described, as well as a pulsed techniques such as Qswitching, modelocking and harmonic generation. The student is also introduced to the exciting types of new lasers being developed.
Prerequisite(s): ES334
ES444 Geometric Optics (303): Geometric optics is the study of light in its simplest form by treating light as rays. Light rays travel in straight lines until they encounter an interface (such as a mirror or a lens) where they may be redirected by reflection and refraction. This course describes the physical principles that determine how rays behave at various interfaces. These principles are then used to model simple optical systems with varying degrees of fidelity. Natural optical phenomena (rainbows, mirages, totalinternal reflection, etc.) and classic optical systems (prisms, telescopes, cameras, etc.) will be analyzed throughout the course. Linear systems will be introduced to analyze more complex optical systems. This course provides the fundamentals needed for optical system design.
Prerequisite(s): ES334
ES445 Biophotonics (303): This course is an introduction to photobiology (interaction of light with biological matter), tissue optics, lightinduced cellular processes, optical biosensors, and cellular and molecular imaging. Biophotonics is an emerging multidisciplinary field where lightbased methods are utilized to reveal biological mechanisms and diagnose or treat several diseases. This course introduces the basics of biology and photonics and provides the most relevant and important application examples selected from chemistry, biology, pharmacology and medicine. For examples, it includes how to detect and identify new viruses and how to manipulate the brain of mouse with light, etc.
Prerequisite(s): ES334
ES461 Imaging & Displays (303): This course introduces the basic principles of two and threedimensional imaging systems. It begins with the mathematical description of image formation as a linear system and draws on the student’s knowledge of signals and systems to introduce the concepts of point spread function, transfer function, resolution, and restoration. Actual physical imaging systems (such as microscopes, telescopes, and copiers) operating in the gazing and scanning configurations are subsequently modeled and their resolution assessed. Interferometric imaging systems and their applications in metrology are described. Techniques for depth profiling are then introduced including pointbypoint scanning (as in laser scanning fluorescence microscopy), echo ranging (as in sonar and radar imaging), and interferometry (as in optical coherence tomography). This is followed by an introduction to computational imaging, including the techniques of computed tomography (CT), range tomography, and magnetic resonance imaging (MRI). Hyperspectral imaging systems and their various configurations are then described including applications in detection (of tumors, for example) and classification (of different targets). Performance measures such as sensitivity and specificity are introduced. Applications for remote sensing, nondestructive testing, and biology and medicine are highlighted.
Prerequisite(s): ES334
ES462/MM391 Nanomaterials and Nanotechnology (303): Introduction to Nanoscience and Nanotechnology, Physical chemistry of solid surfaces, surface energy, electrostatic stabilization, steric stabilization , zerodimensional nanostructures: nanoparticles, quantum dots, one dimensional nanostructures: nanowires and nanorods, template–based synthesis, two dimensional nanostructures. Thin films by physical and chemical methods, threedimensional nanostructures: nanocarbons, fullerenes, CNTs and graphene, core shell nanostructures, nanomaterials hazards and safety procedures.
Prerequisite(s): ES361
ES474 Optoelectronics (303): This module introduces the main components of modern day optoelectronic systems. This will include active devices for the generation, detection, amplification and modulation of optical signals and the key passive components in modern optical communication systems. The working principle for different types of optoelectronic devices such as optical modulators, LCDs, etc are studied in detail. The optoelectronic characteristics of transmitters (LED, Lasers, Laser diodes, optical amplifiers) and receivers (pin photodiode, avalanche PD, heterojunction PD, solar cell) are analyzed. This module also covers modeling and analysis of optoelectronic devices via a series of lab sessions.
Prerequisite(s): ES361
ES474L Optoelectronics Lab (031): Laboratory experiments introduce principles of optical waveguiding, optical network analysis, characterization of lasers, optical modulators, and WDM components. Laboratory facilities include Michelson interferometer kits, advanced optics kits, spectrometers, DSP lockinamplifiers, HeNe lasers, high power Nd:YAG laser, diode lasers, laser power meters, PIN diodes, APDs, phototransistors, computers with DAQ cards, Oscilloscopes, analog and digital trainers, photonic device fabrication & characterization, software tools for the modeling & simulation photonic devices and systems, and a wide range of other photonic components and kits.
ES467 Analysis for Modeling and Simulation (303): An introduction to analysis techniques appropriate to the conduct of modeling and simulation studies. Topics include input modeling, random number generation, output analysis, variance reduction techniques, and experimental design. In addition, techniques for verification & validation are introduced. Course concepts are applied to real systems and data.
Prerequisite(s): ES111
ES446 Heat Transfer and Modeling (303): Introduction and basic concepts of heat and mass transfer mechanisms and their physics, Modeling and simulation of heat and mass transfer mechanisms using the modern tools, Analysis of heat and mass transfer mechanisms using mathematical models and equations, Impacts and applications of heat and mass transfer mechanisms on humans and environment and Recent trends and innovations in the heat and mass transfer mechanisms.
Prerequisite(s): MT102
ES447 Financial Engineering Models (303): Corporate finance and financial evaluation, financial statements modeling, building a pro forma model, portfolio models, calculating efficient portfolios, efficient portfolios without short sales, portfolio optimization, the binomial option pricing model, the BlackScholes model, immunizing strategies, modeling the term structure, Monte Carlo methods, simulating stock prices, Monte Carlo simulations for investments, simulating options and option strategies and Monte Carlo methods for option pricing.
Prerequisite(s): ES441
ES481 and ES482 Senior Design Project Part – I and II (0186): The aim of this course is to sharpen the skills of the engineering science students by participating in projects that are to be identified in collaboration with the industry. Every project will be assigned a faculty advisor. The students may work independently or jointly (in small groups) on the projects. The duration of the project team is one full year. The progress will be monitored through interim presentations and reports. A final report will be due at the end of the term.
PH 101 – Applied Physics  
PreRequisite: None Instructor:
 
Course Introduction  
This course covers the fundamentals of engineering applying the concepts of basic mathematics and physics but at advanced level. The aim of this subject is to develop an understanding of realworld engineering applications and problem solving.  
Course Content  
· Introduction to engineering mechanics problems · Vector Operations, Force Vectors · Motion in one, two and three dimensions · Newton Laws and its applications · Momentum · Rotational dynamics and kinematics · Moment of Force, Principle of Moments, Moment of a Couple · Work and Energy · Electrostatics · Magnetic Field  
Mapping of Class Learning Outcome (CLOs) to Program Learning Outcomes (PLOs)  
S. No  CLOs  PLOs  BT Level  
 After completing this course, the student will be able to… 
 
CLO1  Apply Newton’s Laws to problems of translational motion and rotational motion  PLO1  C3  
CLO2  Apply fundamental conservation laws(momentum, angular momentum, work done and energy) to the problems of mechanics  PLO1  C3  
CLO3  To apply the fundamental equations and concepts of electricity and magnetism to solve related problems.  PLO1  C3  



 
Grading Policy (Subject to change upon the discretion of the instructors)  
Assessment Items  % Marks  
1.  Assignment  5%  
2.  Quizzes  20%  
3.  MidTerm Exam  25% (After 8^{th} week)  
5.  Final Exams  50% (After 15^{th} week)  
Text and Reference Books  
Textbooks:1. R.Resnick, D.Halliday & K.S. Krane, “Physics Volume1”, 5^{th} Edition, 20022. R.Resnick, D.Halliday & K.S. Krane, “Physics Volume2”, 5^{th} Edition, 20023. R.C. Hibbeler; Engineering mechanics, Statics, 14th Edition, Pearson EducationReference books:1. Hugh D. Young & Roger A. Freedman, “University Physics”, 12^{th} Edition, 20122. Frederick J.Keller,W.Edward Gettys & Malcolm J.Skove, “Physics: Classical and Modern”3. Raymond A. Serway and John W.Jewett, “Physics for Scientists and Engineers”, 6^{th} Edition4. Feynmann Lectures on Physics  
Administrative Instruction  
· Student Attendance is expected to be 100%, and minimum 80% (mandatory) attendance that is required to sit in the final exams · Student must pay the attention for reading the textbooks chapter for course assessment · All the direct assessment tools i.e., Quizzes, Assignment, Midterms, Project and final Exams must be attempted. Failure to attempt in any of the assessment tools without any medical reasons may results to fail in that particular assessment. All quizzes would be taken together for all sections. · Students are advised to study the previous lecture before next class for better understanding. · Class participation is highly encouraged. It develops more interest. Students are also advised to spare some time for group discussion with their classmates to explore new ideas. · Handouts and related notes will available on FES internet course portal. · For any query please contact instructor during office time.  
Lecture Breakdown  
Lecture#1  Introduction to classical Mechanics and its applications  
Lecture#2  Vectors and its properties, Scalars and vectors, Vector operations, vector addition of forces  
Lecture#3  Addition of a system of coplanar forces  
Lecture#4  Cartesian vectors, position vectors  
Lecture#5  Force vector directed along a line, dot product.  
Lecture#6  Position, velocity and acceleration, Straight line motion  
Lecture#7  Motion with constant acceleration, Freely falling bodies  
Lecture#8  Newton’s Laws and its applications  
Lecture#9  Newton’s Laws and Motion in 3 dimensions with constant acceleration  
Lecture#10  Continued with problems  
Lecture#11  Tension and Normal Forces  
Lecture#12  Frictional Forces  
Lecture#13  Linear Momentum  
Lecture#14  Conservation of momentum  
Lecture#15  Continued with problems  
Lecture#16  Rotational Motion (Kinematics),  
Lecture#17  Rotation with constant angular acceleration  
Lecture#18  Continued with problems  
Lecture#19  Rotational Motion (Dynamics)  
Lecture#20  Continued with problems  
Lecture#21  Rotational Inertia and Newton’s second Law  
Lecture#22  Center of Mass  
Lecture#23  Moment of a force (scalar formulation)  
Lecture#24  Cross product, moment of a force (vector formulation),  
Lecture#25  Principle of moments,  
Lecture#26  Moments of a force about a specified axis  
Lecture#27  Continued with problems  
Lecture#28  Work done by a constant force  
Lecture#29  Work done by a variable force and power  
Lecture#30  Kinetic energy and work – Energy Theorem  
Lecture#31  Potential Energy  
Lecture#32  Conservation of Energy  
Lecture#33  Electric charge. Conductors and insulators. Coulomb’s law.  
Lecture#34  Continuous charge distributions. Conservation of charge.  
Lecture#35  The electric field: conception of the electric field. The electric field of point charges.  
Lecture#36  Electric field of continuous charge.  
Lecture#37  Electric field lines. A charge in an electric field.  
Lecture#38  A dipole in an electric field.  
Lecture#39  Gauss’ law: the flux of a vector field.  
Lecture#40  The flux of the electric field. Gauss’ law. Applications of Gauss’ law.  
Lecture#41  Gauss’ law and conductors.  
Lecture#42  The Hall effect.  
Lecture#43  Faradays law of induction, Lenz law  
Lecture#44  Motional EMF  
Lecture#45  Ampere’s law  
MT101Calculus I  
PreRequisite(s): None Instructors: Dr Minhaj Zaheer Office : G11, FES
Office hours: (2:30pm 5pm) Working day Or Take appointment by email
 
Course Introduction  
This is an introductory course of ‘Calculus’ required for all engineering students. The prerequisite is the mathematics taught at intermediate / A level to students in Pakistan. There will be quick review of the Calculus studied by the students in their intermediate (F.Sc. / A level) classes but at a muchadvanced level, with introduction of many new topics and material. The emphasis will be on the application of ‘Differential and Integral Calculus’ to problems of physical sciences and engineering. At the end of the course, the students should be able to tackle the problems in other disciplines that require calculus tools for their solution.  
Course Contents  
• Functions: Real numbers; Functions and their graphs; Basic elementary functions; Combining functions; Elementary functions; Domain and range of functions; Shifting and scaling of graphs.
• Limit and Continuity: Limit of a function; Calculation of limits and limit laws; Limits involving infinity; Onesided limits; Continuous and discontinuous functions; Types of discontinuity; Asymptotes of graphs. • Differential Calculus I: Rate of change and tangents to curves; Derivative at a point; Geometric interpretation; Differentiation rules; Derivative as rate of change; Derivatives of basic elementary functions; The chain rule; Implicit differentiation; Related rates; Linearization and differentials.
• Differential Calculus II: Derivatives of transcendental functions; Inverse functions and their derivatives; Exponential and logarithmic functions; Trigonometric and inverse trigonometric functions; Hyperbolic functions; Logarithmic differentiation; Intermediate forms and L’Hopital’s rule. • Applications of Derivatives: Mean value theorem; Monotonic functions and the first derivative test; Extreme values of functions; Concavity and the second derivative test; Applied optimization. • Integral Calculus: Antiderivatives and indefinite integrals; Elementary integration techniques; Sigma notation and limits of finite sums; The definite integral; The fundamental theorem of calculus; Elementary properties and calculation of definite integrals. • Applications of Integral Calculus: Area under a curve and between curves; Volumes using crosssections; Volumes using cylindrical shells; Arc length; Areas of surfaces of revolution; Calculation of work; Center of gravity of plane laminas. • Techniques of Integration: Use of basic integration formulas; integration by substitution and by parts; Trigonometric integrals; Trigonometric substitutions; Integration of rational functions by partial fractions; Numerical integration; Improper integrals. • Infinite Series: Definitions, convergence, properties. Integral test, basic and limit comparison tests, ratio and root tests. Alternating series and absolute convergence. Power series. McLaurin and Taylor series. Applications of power series.
 
Mapping of Class Learning Outcome (CLOs) to Program Learning Outcomes (PLOs)  
S. No  CLOs  PLOs  Bloom Taxonomy  
Upon completion of this course, students will be able to:  
CLO1  Solve problems related to limit and continuity of a function and their interrelationship.  PLO1  C3 (Applying)  
CLO2  Calculate the derivative and differential of a function and apply them in different applied problems.  PLO1  C3 (Applying)  
CLO3  Use different techniques of integration to solve different applied problems.  PLO1  C3 (Applying)  
CLO4  Apply different tests to discuss the convergence of sequences and series.  PLO1  C3 (Applying)  
Direct Assessment tools based on CLOs  
Assessment Tools  CLO1  CLO2  CLO3  CLO4  
Quizzes  30%  25%  20%  20%  
Assignments  5%  25%  20%  20%  
Midterm Exam  40%  30%  20%  20%  
Final Exam  25%  20%  40%  40%  
Grading Policy  
Assessment Items  % Marks  
1.  Announced Quizzes  20%  
3.  Assignments  10%  
4.  MidTerm Exam  30%  
5.  Final Exam  40%  
Text and Reference Books  
Text books:• “Thomas’ Calculus” by George B. Thomas, Jr., Maurice D. Weir, Joel R. Hass. 13^{th} Edition 2010. Pearson, USA. Reference books:• “Calculus: Early Transcendentals” by James Stewart. 6^{th} Edition 2008. Brooks/Cole USA. • “Calculus” by Swokowski, Olinick, Pence. 6^{th} Edition 1994. PWS, USA.
 
Administrative Instruction  
• According to institute policy, 80% attendance is mandatory to appear in the final examination.
• All quizzes/examinations will be closed book. No calculators and mobile phones will be allowed.
• In any case, there will be no retake of scheduled/surprise quizzes.
• Students may work on home assignments in collaboration with each other, but they must submit their own work; no copying from others. Violation of this will adversely affect their quiz/exam results.  
Lectures Breakdown  
Lecture  Topic  Chapter 
01  Real numbers and points. Constants and variables. Absolute values and inequalities. Intervals.  1 
02  Functions and graphs. Direct and inverse functions. Symmetry.  1 
03  Shifting and scaling of graphs. Classification of functions. Basic elementary functions. Composite function. Elementary functions.  1 
04  Intuitive concepts of limit and continuity. Limits involving infinity. Right and left limits.  2 
05  Continuity of functions. Properties of continuous functions.  2 
06  Checking for continuity at a point and on an interval. Types of discontinuities.  2 
07  Quick review of differentiation. Algebraic and geometric interpretations.  3 
08  Derivatives of basic elementary functions. Differentiation rules  3 
09  Differentiation of composite functions and chain rule. Implicit differentiation.  3 
10  Differentiation of trigonometric, inverse trigonometric, hyperbolic and inverse hyperbolic functions  7 
11  Quick revie of functions of 2 & 3 variables and their partial derivatives  14 
12  Quick revie of functions of 2 & 3 variables and their partial derivatives. Continue  14 
13  Indeterminate forms and L’Hopital rule  7 
14  Applied maximum and minimum problems: first derivative test.  4 
15  Applied maximum and minimum problems: second derivative test. Points of inflection.  4 
16  Intervals of convexity and concavity. Points of Inflection.  4 
17  Applied maximum and minimum problems: applications.  4 
18  Applied maximum and minimum problems: applications (continued…).  4 
19  Indefinite integrals and basic techniques of integration.  5 
20  Basic techniques of integration continued.  5 
21  Riemann sums and definite integrals.  5 
22  The fundamental theorem of calculus. Area under a curve.  5 
23  Properties of definite integrals.  5 
24  Calculation of areas bounded by continuous curves.  5 
25  Volume of solids of revolution: disk method.  6 
26  Volume of solids of revolution: cylindrical shell method.  6 
27  Calculation of length of an arc and surface areas of solids of revolution.  6 
28  Calculation of work by definite integrals.  6 
29  Calculation of work by definite integrals.  6 
30  Centre of gravity and centroid of plane laminas.  6 
31  Calculation of moments of inertia of solids of revolution.  6 
32  Techniques of integration.  8 
33  Techniques of integration (continued…).  8 
34  Techniques of integration (continued…).  8 
35  Convergent and divergent sequences.  10 
36  Convergent and divergent series; their basic properties.  10 
37  Positive term series; geometric and pseries.  10 
38  Integral test and basic comparison test.  10 
39  Ratio and root tests.  10 
40  Alternating series and its properties.  10 
41  Conditional and absolute convergence.  10 
42  Power series and radius of convergence.  10 
43  Power series representation of function.  10 
44  McLaurin and Taylor series.  10 
45  Convergent and divergent sequences.  10 
Note: This outline serves only as a rough guidance of the course. It may be changed or modified as and when deemed necessary by the instructor. The Instructor is at liberty to best distribute number of lectures and/or change the sequence of topics to cover the entire course.
Syllabus/Course Outline Calculus II (MT 202) Fall Semester 2023  
PreRequisite(s): MT 101 Instructor: Mr. Zahid Ahmed Office: Room G13, FES Phone: 2536 Email: zahid.ahmed@giki.edu.pk Office Hours: Posted outside office door of course instructor. Also by appointment.  
Course Introduction  
This course is continuation of MT 101 course. The main objective of the course is to make students proficient in techniques and skills of multivariate and vector calculus. The emphasis will be on application of learned techniques to the solution of problems of science and engineering. The students will learn necessary mathematical skills with an understanding of basic concepts and a working knowledge of applications. It is hoped that, on completion of this course, the students will be trained enough to apply these mathematical tools to solve problems in their area of specialization.  
Course Contents  
· Parametric Equations and Polar Coordinates: Parametric representation of plane curves; Calculus with parametric curves; Polar coordinates; Graphing polar equations; Conic sections in polar coordinates; Areas and arc lengths in polar coordinates. · Vector Algebra: Vectors in three dimensions; Dot and cross product; Lines and planes; Three dimensional quadric surfaces. · Functions of Several Variables: Limits and continuity; Partial derivatives; Increments and differentials; Chain rules; Directional derivatives, gradient; Tangent planes and normal lines to surfaces; Extrema of functions of several variables; Relative extrema, Lagrange multipliers. · Multiple Integrals: Double integrals, definition, and evaluation; Area and volume; Double integrals in polar coordinates; Surface area; Triple integrals in Cartesian, cylindrical and spherical coordinates; Applications.  
Mapping of CLOs to PLOs  
CLO No  Course Learning Outcomes  PLOs  Blooms Taxonomy  
CLO 1  Apply calculus of parametric and polar curves to solve engineering problems related to areas, arc lengths and conics.  PLO 1  C3 (Applying)  
CLO 2  Demonstrate the understanding of analytic geometry of three dimensions and geometric surfaces of linear and quadratic functions  PLO 1  C3 (Applying)  
CLO 3  Apply the techniques of multivariate differential calculus to geometrical and physical problems in science and engineering.  PLO 1  C3 (Applying)  
CLO 4  Apply different techniques of multivariate integral calculus of scalar and vector functions to various applied problems.  PLO 1  C3 (Applying)  
CLO Assessment Mechanism  
Assessment tools  CLO 1  CLO 2  CLO 3  CLO 4  
Quizzes  25%  25%  25%  25%  
Assignments  5%  5%  5%  5%  
Midterm Exam  60%  50% 

 
Final Exam  10%  20%  70%  70%  
Overall Grading Policy  
Assessment Items  Percentage  
Announced Quizzes  20%  
Assignments  10%  
Midterm Exam  30%  
Final Exam  40%  
There will be four announced quizzes. Three best quiz results of each student will be counted for grading purpose.  
Text and Reference Books  
Textbook: · “Thomas’ Calculus” by George B. Thomas, Jr., Maurice D. Weir, Joel R. Hass. 13^{th} Edition 2015. Pearson, USA. Reference Books: · “Calculus: Early Transcendentals” by James Stewart. 6^{th} Edition 2008. Brooks/Cole USA. · “Calculus” by Swokowski, Olinick, Pence. 6^{th} Edition 1994. PWS, USA. · “Calculus and Analytic Geometry” by Thomas et al 9^{th} Edition, USA.  
Administrative Instructions  
· According to institute policy, 80% attendance is mandatory to appear in the final examination. · All quizzes/examinations will be closed book. No calculators will be allowed. · In any case, there will be no retake of scheduled/surprise quizzes. · Assignments must be submitted as per instructions given by the course instructor or mentioned in the assignments. · Students may work on home assignments in collaboration with each other, but they must submit their own work; no copying from others. Violation of this will adversely affect their quiz/exam results.  
Computer Usage  
Students are encouraged to solve some assigned homework problems using the available software such as Mathematica and MATLAB.  
Lecture Breakdown  
Lecture  Topic  Chapter  
01  Parametric representation of plane curves. Calculus with parametric curves.  Chapter 11  
02  Parametric representation of plane curves. Calculus with parametric curves.  Chapter 11  
03  Polar coordinate system. Sketching of simple polar curves.  Chapter 11  
04  Some important polar curves  Chapter 11  
05  Conic sections in polar coordinates.  Chapter 11  
06  Conic sections in polar coordinates (continued…).  Chapter 11  
07  Conic sections in polar coordinates (continued…).  Chapter 11  
08  Area and arc length in polar coordinates.  Chapter 11  
09  Vectors in two dimensions and problems.  Chapter 12  
10  Vectors in three dimensions and problems.  Chapter 12  
11  Scalar product.  Chapter 12  
12  Vector product.  Chapter 12  
13  Analytic Geometry of planes.  Chapter 12  
14  Straight lines in three dimensions.  Chapter 12  
15  Quadric surfaces.  Chapter 12  
16  Quadric surfaces (continued…).  Chapter 12  
17  Quadric surfaces (continued…).  Chapter 12  
18  Functions of several variables  Chapter 14  
19  Limit of functions of several variables.  Chapter 14  
20  Continuity of functions of several variables.  Chapter 14  
21  Partial derivatives and related questions.  Chapter 14  
22  Increments, differentials, and chain rules.  Chapter 14  
23  Directional derivatives and gradient.  Chapter 14  
24  Tangent planes and normal planes.  Chapter 14  
25  Extrema of function of several variables.  Chapter 14  
26  Extrema of function of several variables (continued…).  Chapter 14  
27  Lagrange multipliers and their applications.  Chapter 14  
28  Lagrange multipliers and their applications (continued…).  Chapter 14  
29  Double integrals.  Chapter 15  
30  Area and volume by double integrals.  Chapter 15  
31  Area and volume by double integrals (continued…).  Chapter 15  
32  Area and volume by double integrals (continued…).  Chapter 15  
33  Change of variables in double integrals.  Chapter 15  
34  Change of variables in double integrals (continued…).  Chapter 15  
34  Double integral in polar coordinates.  Chapter 15  
36  Surface area and problems.  Chapter 15  
37  Applications of double integrals.  Chapter 15  
38  Triple integrals of all types.  Chapter 15  
39  Volume by triple integrals.  Chapter 15  
40  Volume by triple integrals (continued…).  Chapter 15  
41  Change of variables in triple integrals.  Chapter 15  
42  Triple integrals in cylindrical coordinates.  Chapter 15  
43  Triple integrals in spherical coordinates.  Chapter 15  
44  Volumes by using cylindrical and spherical coordinates.  Chapter 15  
45  Revision and exercises. 
 
Note: This outline and lecture distribution serves only as rough guidance of the course. It may be changed or modified as and when deemed necessary by the instructor. The instructor is at liberty to best distribute the number of lectures and/or change the sequence of topics to cover the entire course.
ES111 Probability and Statistics (3 Credit Hours) – Spring 2023 
PreRequisite: MT 101 Calculus I Instructors: Dr. M. Omer Bin Saeed Email: omer.saeed@giki.edu.pk Office Hours: Tuesday, Wednesday, Thursday 10:30 – 11:30. Or by appointment. 
Course Introduction  
This course introduces the students to the fundamentals of probability theory, engineering statistics, and data analysis. The first one half of the course develops necessary “Probability Theory” that is used to analyze the random processes occurring in natural sciences and engineering. The second half of the course is about “Inferential Statistics” where the students learn the techniques of analyzing the statistical data and making inferences about population using sample data. Statistical tests are developed using the probability theory learned in first half of the course. The emphasis is on using statistical methods to the problems of applied science and engineering. Students are expected to have good background of analytical skills for this course. On completion of this course, the students will be trained enough to appreciate the power of statistical techniques and apply these tools to analyze problems in their areas.  
Course Contents  
· Introduction to Probability: Basic definitions, axioms of probability, addition and multiplication rules, conditional probabilities, independence, and Bayes’ rule, revision of permutations and combinations. · Probability Distributions: Random variables and probability distributions, discrete and continuous RVs, probability mass function, density function, and cumulative distribution function, mean, variance, higher moments, and their calculation. · Discrete Distributions: Binomial, Poisson, and hyper geometric distributions, mean and variance of standard discrete distributions. · Continuous Distributions: Uniform, exponential, and normal distributions, standard normal distribution and calculation of normal probabilities using tables, mean and variance of standard continuous distributions. · Joint Distributions: Joint distributions of two random variables, discrete and continuous joint probability distributions, marginal probability distributions, independence and covariance of joint probability distributions. · Descriptive Statistics and Random Sampling: Data arrangement, measures of central tendency, spread and variability, frequency distributions and histograms, plots of data, random sampling, distribution of sample mean and variance. · Estimation Theory: Estimation of unknown parameters of a population distribution, point estimation, interval estimation, standard error of estimation and margin of error, confidence intervals of mean and proportion, calculation of sample size, small sample theory and tdistribution, comparison of two populations and two sample estimation, confidence interval of population proportions and variance, chisquare and fdistributions. · Hypothesis Testing: Statistical hypotheses, one and two tail tests, significance and confidence levels, relationship with interval estimation, critical regions, type I and type II errors, chisquare test. · Regression Analysis: Simple linear regression, the method of least squares, inferences based on leastsquare estimators, curvilinear regression, adequacy of the regression model, correlation. · Design of Experiments: Onefactor experiments, response variable, pairwise comparisons in onefactor experiments, twofactor experiments, error correction, case study and use of statistical tools.  
Mapping of CLOs & PLOs  
 
CLOs Direct Assessment Mechanism  
 
Overall Grading Policy  
 
Text and Reference Books  
Text Book: 1. Probability and Statistics for Engineers & Scientists by R. E. Walpole (9th Ed., PrenticeHall, 2012). Reference Books: 1. Probability and Statistics for Engineers (Miller & Freund’s) by Richard A. Johnson (9th Ed., Pearson USA, 2017). 2. Probability and Statistics for Engineering and Sciences by Jay L. Devore, (8th Ed., Brooks/Cole USA, 2012). 
Administrative Instructions 
§ According to institute policy, 80% attendance is mandatory to appear in the final examination. § Assignments must be submitted as per instructions given for each assignment. § In any case, there will be no retake of (scheduled/surprise) quizzes. § Mobile phones are not allowed during quizzes and exams. § Bring calculator/statistical tables in lecture classes. 
Computer Usage 
Students are encouraged to solve some assigned homework problems using the available statistical software. 
Lecture Breakdown (subject to change)  

***All the Best***
ES202 Engineering Statistics (Spring 2022)  
PreRequisite: MT101 (Calculus I) Instructor: Ms. Sana Tahir (Section C) Office: Room G21, FES Email: sana.tahir@giki.edu.pk Discussion Hours: By appointment.  
Course Introduction  
This course is a basic engineering course that introduces the students to the fundamentals of probability theory, engineering statistics, and data analysis. The first one half of the course develops necessary “Probability Theory” that is used to analyze the random processes occurring in natural sciences and engineering. The second half of the course is about “Inferential Statistics” where the students learn the techniques of analyzing the statistical data and making inferences about population using sample data. Statistical tests are developed using the probability theory learned in first half of the course. The emphasis is on using statistical methods to the problems of applied science and engineering. Students are expected to have good background of analytical skills for this course. On completion of this course, the students will be trained enough to appreciate the power of statistical techniques and apply these tools to analyze problems in their areas.  
Course Contents  
Introduction to Probability: Basic definitions, axioms of probability, addition and multiplication rules, conditional probabilities, independence, and Baye’s rule, revision of permutations and combinations.  
Probability Distributions: Random variables and probability distributions, discrete and continuous RVs, probability mass function, density function, and cumulative distribution function, mean, variance, higher moments and their calculation.  
Discrete Distributions: Binomial, Poisson, geometric, hyper geometric, negative binomial, and multinomial distributions, mean and variance of standard discrete distributions.  
Continuous Distributions: Exponential, gamma, and normal distributions, mean and variance of standard continuous distributions.  
Normal Distribution: Normal distribution and its mean and variance, standard normal distribution and calculation of normal probabilities using tables, approximation of binomial distribution by normal distribution.  
Descriptive Statistics and Random Sampling: Data arrangement, measures of central tendency, spread and variability, frequency distributions and histograms, plots of data, random sampling, distribution of sample mean and variance.  
Estimation Theory: Point estimation and estimators of unknown parameters, estimation of unknown parameters of a population distribution, methods of moments and method of maximum likelihood, unbiased point estimators of mean and variance, interval estimation, standard error of estimation and margin of error, confidence intervals of mean and proportion, calculation of sample size, small sample theory and distribution, comparison of two populations and two sample estimation, confidence interval of population proportions and variance, chisquare and fdistributions.  
Hypothesis Testing: Statistical hypotheses, one and two tail tests, significance and confidence levels, relationship with interval estimation, critical regions, type I and type II errors, chisquare test.  
Mapping of Class Learning Outcome (CLOs) to Program Learning Outcomes (PLOs)  
CLOs  Course Learning Outcomes  PLOs  Bloom’s Taxonomy  
Upon completion of this course, students will be able to:  
CLO1  Calculate probabilities of events, joint probabilities, conditional probabilities using set operations and definition of probability. Justify valid and invalid probability assignments and independence of events.  PLO2 (Problem analysis)  C3 (Applying)  
CLO2  Calculate the probability mass/density function parameters, moments and functions of random variables.  PLO2 (Problem analysis)  C3 (Applying)
 
CLO3  Draw inferences about population and sample data using techniques of “Inferential Statistics”.  PLO2 (Problem analysis)  C5 (Evaluating)  
CLOs Direct Assessment Mechanism  
CLO #  Assessment Tools  
CLO1  Quizzes, Assignments, Midterm Exam, Final Exam  
CLO2  Quizzes, Assignments, Midterm Exam, Final Exam  
CLO3  Quizzes, Assignments, Final Exam  
Grading Policy  
Assessment Items  % Marks  
1.  Assignments  10%  
2.  Quizzes  20%  
3.  MidTerm Exam  30%  
4.  Final Exams  40%  
Text and Reference Books  
Textbook:· Probability and Statistics for Engineers and Scientists by Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers & Keying Ye (9th Edition, Pearson USA, 2011).Reference books:· Probability and Statistics for Engineering and Sciences by Jay L. Devore (9th Edition 2015, Brooks/Cole USA).· Probability and Statistics for Engineers (Miller & Freund’s) by Richard A. Johnson (9th Edition, Pearson USA, 2017).  
Computer Usage  
Students are encouraged to solve some assigned homework problems using the available statistical software.  
Administrative Instructions  
· Student Attendance is expected to be 100%, and minimum 80% (mandatory) attendance that is required to appear in the final exams · All direct assessments, i.e., Quizzes, Assignments, Midterm and Final, must be attempted.  
Lecture Breakdown  
Lecture  Topic  
Lecture 01  Overview of Engineering Statistics  
Lecture 02  Revision of set algebra and simple combinatorics  
Lecture 03  Basic definitions and axioms of probability  
Lecture 04  Addition and multiplication rules of probability  
Lecture 05  Conditional probabilities and independence  
Lecture 06  Law of total probability and Baye’s rule  
Lecture 07  Random variables and probability distributions  
Lecture 08  Discrete and continuous RVs  
Lecture 09  Probability mass function, density function  
Lecture 10  Cumulative distribution function  
Lecture 11  Expected value of pdf and its calculation  
Lecture 12  Variance of pdf and its calculation  
Lecture 13  Binomial distribution and its mean and variance  
Lecture 14  Continue binomial distribution  
Lecture 15  Poisson distribution and its mean and variance  
Lecture 16  Continue Poisson distribution  
Lecture 17  Geometric and hypergeometric distribution and their mean and variance  
Lecture 18  Negative binomial distribution and its mean and variance  
Lecture 19  Normal distribution and its mean and variance  
Lecture 20  Continue normal distribution  
Lecture 21  Approximation of binomial by normal distribution  
Lecture 22  Exponential distribution and its mean and variance  
Lecture 23  Gamma distribution and its mean and variance  
Lecture 24  Calculation of normal probabilities using tables  
Lecture 25  Approximation of binomial distribution by normal distribution  
Lecture 26  Data arrangement and central tendency  
Lecture 27  Spread and variability  
Lecture 28  Frequency distributions and histograms, plots of data  
Lecture 29  Random sampling, distribution of sample mean and variance  
Lecture 30  Point estimation & estimators of unknown parameters  
Lecture 31  Estimation of unknown parameters of a population distribution  
Lecture 32  Types of estimator, standard error and MSE  
Lecture 33  Methods of moments  
Lecture 34  Method of maximum likelihood  
Lecture 35  Further problems on point estimation  
Lecture 36  Confidence intervals, calculation of small sample theory and distribution  
Lecture 37  Confidence intervals of mean and variance in different situations  
Lecture 38  Continue confidence intervals of mean and variance  
Lecture 39  Sample size, small sample theory and tdistribution  
Lecture 40  Confidence interval of population proportion  
Lecture 41  Statistical hypotheses and one and two tail tests  
Lecture 42  Type I and type II errors  
Lecture 43  Pvalues and critical regions  
Lecture 44  Hypothesis testing on mean, variance and population proportion  
Lecture 45  Problems on hypothesis testing  
Note: This outline serves only as a rough guidance of the course. It may be changed or modified as and when deemed necessary by the instructor. The instructor is at liberty to best distribute number of lectures and/or change the sequence of topics to cover the entire course.
ES 211 Circuit Analysis – I Fall 2023  
PreRequisite(s): MT101, MT102 (corequisite) Instructor: Dr. Usman Habib Email: usman.habib@giki.edu.pk Office G 26 FES Building Office hours: Tuesdays and Wednesdays [10am – 2pm]  
Course Introduction  
The course deals with the fundaments of Circuit Analysis Techniques. Students after the completion of the course should be able to analyze dc circuits by using the laws of electric circuits and employing various techniques such as Mesh analysis, Nodal analysis, and Equivalent Resistance Combinations, along with theorems such as Superposition, Thevenin’s, and Norton’s theorems.; and do transient analysis of circuits containing inductors and Capacitors. Operational Amplifier is also introduced to enable students to model it and analyze circuits containing operational amplifiers. Finally, the frequency domain analysis of the DC circuits is discussed.
 
Course Content  
Basic Concepts, resistive circuits, nodal and loop analysis techniques, operational amplifiers, additional analysis techniques such as using superposition, Thevenin’s and Norton’s Theorems, capacitance and inductance, first and secondorder transient circuits.  
Mapping of Course Learning Outcomes (CLOs) to Program Learning Outcomes (PLOs)  
S. No  CLOs  PLOs  Bloom Taxonomy 
CLO1  Use basic electrical concepts and theorems to analyze circuits  PLO1 (Engineering Knowledge)  C3 (Application) 
CLO2  Identify the key characteristics and limitations of operational amplifiers and be able to analyze and design simple circuits based on operational amplifiers  PLO1 (Engineering Knowledge)  C4 (Analysis) 
CLO3  Compute the behavior of energy storing elements and their transient response analysis  PLO1 (Engineering Knowledge)  C3 (Application) 
CLO4  Justify the impact of electric circuits on environment and demonstrate their knowledge and need for sustainable development  PLO7 (Environment and Sustainability)  A3 (Valuing) 
CLO5  Communicate effectively about practical uses of electric circuits  PLO10 (Communication)  A2 (Responding) 
Grading Policy  
Assessment Items  % Marks  
1.  Quizzes (5 Quizzes)  15 %  
2.  Assignments (5 Assignments)  5 %  
3.  Technical Reports (2 reports)  5 %  
4.  Presentation  5 %  
5.  MidTerm Exam  25 %  
6.  Final Exams  45 %  
 
Text and Reference Books  
Text books:· Basic Engineering Circuit Analysis, by J. David Irwin and Robert M. Nelms, 11^{th} Edition, ©2015· Engineering Circuit Analysis 8th Edition by William Hayt, Jack Kemmerly and Steven DurbinReference books:1. Circuit Analysis for Dummies, by John Santiago, ©20132. Circuit Analysis Demystified, by David McMahon, ©2007  
Administrative Instruction  
· Student Attendance is expected to be 100%, and minimum 80% (mandatory) attendance that is required to sit in the final exams · Student must pay the attention for reading the text books chapter for course assessment rather than lecture slides. · All the direct assessment tools i.e., Quizzes, Assignment, Midterm and final Exams must be attempted. Failure to attempt in any of the assessment tools without any medical reasons may results to fail in that particular assessment. · For queries, kindly follow the office hours in order to avoid any inconvenience. However I may be contacted anytime by getting appointment using email or telephonically 
Lecture Breakdown (Every lecture is 1 CH)  
Lecture # 1  Introduction to the course contents, benchmarks and basic definitions 
Lecture # 2  Units and Basic Quantities, Basic Concepts of charge, voltage and current 
Lecture # 3  Power, Conductance, sign conventions, polarity and direction of flow of current 
Lecture # 4  Circuit Elements, independent and dependent sources, Tellegen’s theorem 
Lecture # 5  Basics of Kirchhoff’s Voltage Law (KVL) and Current Law (KCL) 
Lecture # 6  Resistive Circuits in series and parallel: Ohm’s Law, Single loop circuits 
Lecture # 7  Voltage Division Law and Current Division Law 
Lecture # 8  Wye ↔ Delta Transformations, Source Transformations 
Lecture # 9  Nodal Analysis 
Lecture # 10  Nodal Analysis (circuits containing dependent sources) 
Lecture # 11  Super Node 
Lecture # 12  Loop Analysis 
Lecture # 13  Loop Analysis (circuits containing dependent sources) 
Lecture # 14  Super mesh 
Lecture # 15  Problem solving 
Lecture # 16  Operational Amplifiers: Introduction, OpAmp Model and its circuits 
Lecture # 17  Inverting and noninverting operation 
Lecture # 18  Differential and comparator operation 
Lecture # 19  Problem Solving for OpAmp circuits 
Lecture # 20  Superposition Theorem 
Lecture # 21  Problem Solving 
Lecture # 22  Circuits with dependent sources 
Lecture # 23  Thévenin’s Theorem 
Lecture # 24  Thévenin’s Theorem, cont’d 
Mid Term Exam  
Lecture # 25  Norton’s Theorem 
Lecture # 26  Norton’s Theorem, cont’d 
Lecture # 27  Source Transformation 
Lecture # 28  Circuits with dependent sources only 
Lecture # 29  Circuits with dependent and independent sources 
Lecture # 30  Maximum Power Transfer Theorem and problem solving 
Lecture # 31  Capacitor 
Lecture # 32  Inductor 
Lecture # 33  Capacitor and Inductor in series and parallel 
Lecture # 34  Capacitor and Inductor Combinations 
Lecture # 35  Problem solving 
Lecture # 36  First order circuits with natural response only 
Lecture # 37  First order circuits with constant excitation Differential Equation Approach 
Lecture # 38  Step by step approach to solve first order circuits 
Lecture # 39  Step by step approach with dependent sources 
Lecture # 40  SecondOrder Circuits 
Lecture # 41  SecondOrder Circuits, Cont’d, Problem solving for chapter 7 
Lecture # 42  Bridge circuits, opamp bridge amplifier circuits 
Lecture # 43  Frequency domain analysis (Phasors) 
Lecture # 44  Circuit analysis techniques for Frequency domain networks 
Lecture # 45  Problem solving for frequency domain analysis 
Final Term Exam 
Benchmark for course contents: https://eng.ox.ac.uk/media/4093/coursehandbookprelims1718accessible.pdf
ES 214 Circuit Analysis – II Spring 2023 (3 Credit Hours)  
PreRequisite(s): ES211/EE211 Instructor: Dr Usman Habib Email: usman.habib@giki.edu.pk Office G 21 FES Building (Ext 2290) Office hours: Tuesdays [12.30 pm– 2.30pm]; Thursdays [12.30pm –2.30pm]  
Course Introduction  
This is a 3 credit hour course; offered as an extension to DC Circuit Analysis. In this course, advanced techniques such as Frequency Domain Analysis via poles and zeroes in the complex plane, Variablefrequency network performance, Laplace and Fourier transformation techniques to analyze AC circuits in steadystate conditions. Other topics include analysis of magnetically coupled circuits, three phase circuits, Input – output characterization of a circuit as a twoport network.  
Course Content  
AC SteadyState Power Analysis, Phasors, SteadyState Power Analysis, VariableFrequency Network Performance, Complex impedance, power factor, mutual inductance and ideal transformers, frequency response of AC networks including Bode diagrams, secondorder and resonant circuits, damping and Q factors. Laplace transform methods for transient circuit analysis with zero initial conditions, Fourier analysis Techniques, Impulse and step responses of secondorder networks and resonant circuits, TwoPort Network  
Mapping of Class Learning Outcome (CLOs) to Program Learning Outcomes (PLOs)  
S. No  CLOS  PLOs  Bloom Taxonomy  
CLO1  To be able to solve AC circuits in frequency domain by applying circuit analysis techniques  PLO 2: Problem Analysis  C3 (Apply)  
CLO2  Ability to model and solve the transient circuits in frequency domain using Laplace transform and apply the Fourier transform for steadystate analysis  PLO 2: Problem Analysis  C3 (Apply)  
CLO3  Be able to analyze RLC circuits for variable frequency networks  PLO 4 (Investigation)  C4 (Analyze)  
CLO4  To evaluate a solution for environment and sustainability (such as redesigning a circuit for power factor correction)  PLO 7: Environment and Sustainability  A3 (Valuing)  
CLO5  To be able to identify a solution for an engineering circuits problem to improve the quality of life in society (such as filter design for a daily use application or improving fault protection for personnel)  PLO 6: The Engineer and Society  C4 (Analyze)  
CLOs Direct Assessment Mechanism  
 
Assessment Items  % Marks  
1.  Quizzes  23 % (6 Quizzes in total)  
2.  Assignments  7 %  
3.  Technical Reports and presentation  5 %  
4.  MidTerm Exam  25 %  
5.  Final Exams  40 %  
Text and Reference Books  
Text book: Engineering Circuit Analysis, by J. David Irwin and Robert M. Nelms, 11^{th} Edition, ©2015 Reference books: 1. Engineering Circuit Analysis, 8th Edition by W.H. Hayt & J.E. Kemerly; McGraw Hill; Aug 2011 2. Electric circuits, 10th Edition Author(s): Nilsson and Riedel, Pearson Publishers, 2019 3. Circuit Analysis Demystified, by David McMahon, ©2007
 
Administrative Instruction  
· Student Attendance is expected to be 100%, and minimum 80% (mandatory) attendance is required to sit in the final exams · All the direct assessment tools i.e., Quizzes, Assignment, Midterm and final Exams must be attempted. Failure to attempt in any of the assessment tools without any medical reasons may results to fail in that particular assessment. · In any case, there will be no retake of (scheduled/surprise) quizzes · For queries, kindly follow the office hours in order to avoid any inconvenience. However I may be contacted anytime by getting appointment using email or telephonically  
Lecture Breakdown (Every lecture is 1 CH)  
Lecture # 1  Introduction to the course contents, benchmarks and review of circuit analysis I  
Lecture # 2  Sinusoidal and complex forcing functions  
Lecture # 3  Solving a circuit with forcing function represented as complex number, exponential and phasor  
Lecture # 4  Phasor relation for circuit elements  
Lecture # 5  Impedance and admittance, Phase Diagrams  
Lecture # 6  Solving circuits with reactance in series and parallel  
Lecture # 7  Phasor analysis using Kirchhoff’s laws (KVL and KCL)  
Lecture # 8  Problem solving with phasors (Thevenin, Norton, Superposition)  
Lecture # 9  Maximum average power transfer  
Lecture # 10  Instantaneous, average, RMS, effective and complex power  
Lecture # 11  Power factor and its correction  
Lecture # 12  Single phase three wire circuits, Safety considerations  
Lecture # 13  Problem solving for steady state power analysis  
Lecture # 14  Magnetically coupled networks  
Lecture # 15  Mutual inductance, energy analysis  
Lecture # 16  Transformers  
Lecture # 17  Problem solving for power analysis  
Lecture # 18  Equivalent circuit for transformers  
Lecture # 19  Three phase circuits and connections  
Lecture # 20  Source and load connections  
Lecture # 21  Problem analysis for different configuration of sources and loads  
Lecture # 22  Power relationship and power factor correction in three phase circuits  
Lecture # 23  Review of chapter 8,9,10 and 11 with important concepts for solving complex problems  
Lecture # 24  Extra topics related to power generation and transmission circuits  
Mid Term Exam  
Lecture # 25  Variable Frequency Response Analysis, Network Functions  
Lecture # 26  Poles and Zeros, Sinusoidal Frequency Analysis  
Lecture # 27  Bode Plots of simple factors  
Lecture # 28  Finding H(jω) from Bode Plot  
Lecture # 29  Resonant Circuits; Series Resonance  
Lecture # 30  Problem solving for resonant circuits  
Lecture # 31  Filter Networks  
Lecture # 32  Problem solving for filters  
Lecture # 33  Filter design problem  
Lecture # 34  The Laplace Transform; Basics, Singularity Functions etc.  
Lecture # 35  Properties of the Transform, Inverse transform  
Lecture # 36  Problem solving using Laplace Transform  
Lecture # 37  Solving differential equation with Laplace  
Lecture # 38  Applications of Laplace Transform  
Lecture # 39  Steady state response using Laplace, Transfer function  
Lecture # 40  Fourier Series  
Lecture # 41  Frequency spectral contents, waveforms  
Lecture # 42  Circuit analysis using Fourier method  
Lecture # 43  Fourier Transform  
Lecture # 44  Two port network (AC analysis)  
Lecture # 45  Problem solving using two port network  
Final Term Exam  
Benchmark for the course contents:
https://eng.ox.ac.uk/media/4093/coursehandbookprelims1718accessible.pdf
ES231Electronics – I Spring 2023  
PreRequisite(s): ES211/EE211 Instructor: Engr. Muhammad Saqib Email: muhammd.saqib@giki.edu.pk Office G 64, FES Building Office hours: Mondays [10.30 – 11.30 am and 12.30 – 1.30pm]; Wednesdays [10.30 – 11.30am and 12.30 – 1.30pm]; Thursdays [10.30am – 12.30pm] Website: https://giki.edu.pk/personnel/muhammadsaqib/  
Course Introduction  
This is a 3credit hour course that introduces electronic devices; diodes, bipolar junction transistors (BJTs) and field effect transistors (FETs). The terminal behavior of these devices is discussed. The main focus is to develop the ability to analyze and design basic analog electronic circuits. Small signal analysis and low frequency operation is mainly considered.  
Course Content  
Introduction to electronics, semiconductor diode, diode applications, bipolar junction transistor, transistor configuration, DC biasing, field effect transistor, BJT and FET small signals equivalent circuit models, design of BJT and FET amplifiers and differential amplifiers.  
Mapping of Class Learning Outcome (CLOs) to Program Learning Outcomes (PLOs)  
S. No  CLOS  PLOs  Bloom Taxonomy  
CLO1  Ability to analyze the diode circuits with various type of configurations  PLO2 (Problem Analysis)  C4 (Analysis)  
CLO2  Ability to analyze the circuits containing bipolar junction transistors (BJTs)  
CLO3  Ability to analyze the circuits containing field effect transistors (FETs).  
Grading Policy  
Assessment Items  % Marks  
1.  Quizzes  20%  
2.  Assignments and Complex Engineering Problem  10%  
3.  MidTerm Exam  30%  
4.  Final Exams  40%  
Text and Reference Books  
Text book: Electronic Devices and Circuit Theory, R. L. Boylestad and L. Nashelsky, 11^{th} Edition, © 2013 Reference books: · Microelectronic Circuits, Adel S. Sedra, Kenneth C. (KC) Smith, Tony Chan Carusone, and Vincent Gaudet, 8^{th} Edition, Publication Date – November 2019 · Microelectronic Circuits, Adel S. Sedra, Kenneth C. (KC) Smith, 7th Edition ©2015 · Engineering Circuit Analysis, by J. David Irwin and Robert M. Nelms, 11th Edition, ©2015  
Administrative Instruction  
· Student Attendance is expected to be 100%, and minimum 80% (mandatory) attendance that is required to sit in the final exams · Student must pay the attention for reading the text books chapter for course assessment rather than lecture slides. · All the direct assessment tools i.e., Quizzes, Assignment, Midterm and final Exams must be attempted. Failure to attempt in any of the assessment tools without any medical reasons may results to fail in that particular assessment. · In any case, there will be no retake of (scheduled/surprise) quizzes · For queries, kindly follow the office hours in order to avoid any inconvenience. However I may be contacted anytime by getting appointment using email or telephonically  
Lecture Breakdown  
Lecture#1  Introduction. Semiconductor Diode, Ideal Versus Practical Diode  
Lecture#2  Energy diagram for solids (conductors, Semiconductors and Insulators)  
Lecture#3  The properties of Ntype and Ptype materials, explanation with various examples  
Lecture#4  Formation of PN junction, Biasing of PN junctions  
Lecture#5  Basic characteristics of ideal and nonideal PNdiode  
Lecture#6  Problems  
Lecture#7  LoadLine Analysis  
Lecture#8  Problems  
Lecture#9  Series Diode Configurations, Parallel and Series–Parallel Configurations  
Lecture#10  Half Wave Rectifier  
Lecture#11  Full Wave Rectifier  
Lecture#12  Series Clipper  
Lecture#13  Parallel Clipper  
Lecture#14  Series Clamper  
Lecture#15  Parallel Clamper  
Lecture#16  Introduction to BJTs; §3.3,3.4  
Lecture#17  Common Base and Emitter Configuration§3.4 and 3.5  
Lecture#18  Common Collector Configuration§3.6 and 3.7  
Lecture#19  Diode Clippers and Clampers (reviewed) §2.8 & 2.9  
Lecture#20  Fixed Biasing of Common Emitter Transistor§4.3  
Lecture#21  Load line Analysis, and Emitter Bias Configuration §4.3 & 4.4  
Lecture#22  Voltage Divider Bias Configuration §4.5  
Lecture#23  Problems and Revision  
Lecture#24  Problems and Revision  
 
Lecture#25  Review of Mid Exam question paper  
Lecture#26  §5.1 – 5.4; Introduction to AC Analysis of BJTs and BJTs Modeling  
Lecture#27  §5.4(review), 5.5 and 5.6; Modeling of CE Fixed bias and Resistive division circuit  
Lecture#28  §5.7; (CE amplifier with R_{E}) and other types CC, CB, Darlington pair etc discussed.  
Lecture#29  §6.1 and 2; (JFET Introduction, construction and operation)  
Lecture#30  §6.3 and §6.7; ( Characteristic curve of JFET, Shockley equation; and Depletion mode MOSFET)  
Lecture#31  §6.8 – 6.10; ( Enhancement mode MOSFET, VMOS and UMOS)  
Lecture#32  §6.11 and 6.12; ( CMOS Logic and MESFET)  
Lecture#33  §7.1 – 7.3; FET biasing, JFET Fixedbias and Selfbias configurations  
Lecture#34  §7.4 – 7.7; JFET – voltage divider bias and Depletion Mode MOSFET biasing  
Lecture#35  §7.8 – till end; Enhancement Mode MOSFET biasing techniques and summary  
Lecture#36  §8.1 and 2; FET amplifier introduction and JFET small signal model  
Lecture#37  §8.3; Fixed Bias Configuration  
Lecture#38  §9.1 – 9.6; Frequency response plots  
Lecture#39  §9.6; Low frequency analysis  
Lecture#40  §9.7 and 9.8; Low frequency response – BJT Effects of C_{S}, C_{E} C_{C} and R_{S}  
Lecture#41  Problems  
Lecture#42  §9.9 and 9.10; Low Frequency Response of FETs and Miller Effect  
Lecture#43  Chapter 9 Overview  
Lecture#44  Revision and Problem Solving  
Lecture#45  Revision and Problem Solving  
INSTRUCTIONS/SUGGESTIONS FOR STUDENTS:
You can download full lecture notes here and view lecture recordings here. Sample exams here. 
ES332 Signals and Systems (3 Credit Hours) – Fall 2022 
PreRequisite: ES214 Circuit Analysis II Instructors: Dr. Naveed R. Butt ^{ }Office # G6 FES, GIK Institute, Email: naveed.butt@giki.edu.pk Office Hours: 1300 – 1500 Hrs. 
Course Introduction  
The aim of this course is to introduce the students to basic types of signals and systems encountered in engineering and to various important properties of these systems. The focus will be on methods for characterizing and analyzing continuoustime and discretetime signals and systems. Students are also exposed to some mathematical techniques (Laplace transform, ztransform, and Fourier transform) that are useful for the understanding of higherlevel courses in communications, control, and signal processing.  
Course Contents  
· Introduction to signals and systems · Continuoustime signals and systems · Discretetime signals and systems · The Laplace transforms · The ztransform · Frequency Analysis: The Fourier series and transforms · Selected applications  
Mapping of CLOs & PLOs  
 
CLOs Direct Assessment Mechanism  
 
Overall Grading Policy  
 
Text and Reference Books  
Besides the handouts given in class, following reference materials shall be used: Text Book: 1. Lathi, B. P., and Green R. A., Linear Systems and Signals (3^{rd} ed.), NY: Oxford University Press (2018) Reference Books: 1. Oppenheim, A.V., Willsky, A.S., Nawab, H., Signals and Systems (2nd ed.), Prentice Hall (1996) 2. Phillips, C. L., Parr, J. M., Riskin, E. A. Signals, Systems, and Transforms. (4th ed.), NJ: Prentice Hall. (2008). 3. Buck, J.R., Daniel, M.M., Singer, A., Computer explorations in signals and systems using MATLAB. NJ: Prentice Hall (2002) 4. HSU, H.P., Schaum’s Outlines, Signals and Systems, McGrawHill (1995) 5. Haykin, S., Veen, B.V., Signals and Systems, (2nd ed.), John Wiley & Sons (2007) 
Administrative Instructions + Online Teaching SOPs 
§ According to institute policy, 80% attendance is mandatory to appear in the final examination. § In any case, there will be no retake of (scheduled/surprise) quizzes. § For queries, kindly follow the office hours to avoid any inconvenience. 
Computer Usage 
Students are encouraged to solve some assigned tasks using the available engineering software, such as MATLAB 
Lecture Breakdown  

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Syllabus/Course Outline Modeling Processes (ES 342) Fall Semester 2022  
PreRequisite(s): MT 201 – Differential Equations and Linear Algebra I Instructor: Dr. Minhaj Zaheer Office: Room G11, FES Email: minhaj.zaheer@giki.edu.pk Office Hours: 10:0012:30. Also, by appointment.  
Course Introduction  
This is a first course in a series of courses designed for undergraduate students of engineering sciences specializing in “Modeling and Simulation” one of emerging stream offered by the Faculty of Engineering Sciences. The main purpose of the course is to make students proficient in modern techniques of mathematical modeling and in solving optimization problems encountered in real situations. Students are expected to have good background in calculus, linear algebra, and probability theory for this course. On completion of this course, the students will be trained enough to appreciate different modeling situations and apply the mathematical tools to model and solve similar problems in other areas.  
Course Contents  
· Introduction to modeling; Types of models; Systems concept; Open and closed systems. · Review of mathematics of modeling. · Continuous models and classical optimization techniques. · Noncontinuous and discrete models. · Linear Models and Linear Programming. Simplex algorithm. · Modeling of basic mechanical systems; translational and rotational systems, analysis of vibrations. · Modeling of basic electrical systems; series and parallel LRC circuits. · Modeling of experimental data and curve fitting to experimental data. · Interpolation and extrapolation. · Regression analysis and error analysis.  
Text and Reference Books  
Text/Reference Books: · A First Course in Mathematical Modeling by Frank R. Giordano, William P. Fox, Steven B. Horton, (5^{th} Edition, Brooks/Cole USA, 2014). · Introduction to Operations Research by Frederick S. Hillier and Gerald J. Lieberman (10^{th} Edition, McGrawHill Education USA, 2015). · A First Course in Differential Equations with Modeling Applications by Dennis G. Zill (11^{th} edition, Brooks/Cole, USA, 2017) · Advanced Engineering Mathematics by Erwin Kreyszig (10^{th} Edition, John Wiley & Sons, Inc. USA, 2011)  
Overall Grading Policy  
Assessment Items  Percentage  
Announced Quizzes  15%  
Assignments  10%  
Project  15%  
Midterm Exam  20%  
Final Exam  40%  
Mapping of CLOs to PLOs  
Sr. No  Course Learning Outcomes  PLOs  Blooms Taxonomy  
CLO1  Be able to classify the variety of physical situations and their appropriate models.  PLO1 (Knowledge)  C2 (Understanding)  
CLO2  Be able to formulate a given problem in terms of appropriate model and solve a modeled problem by applying the appropriate technique for optimal solution.  PLO2 (Analysis)  C3 (Applying)  
CLO3  To be able to model the optimization problems from various inter disciplinary engineering problem.  PLO3 (Design/Development of Solutions)  C3 (Applying)  
CLO4  To comply with the data protection and privacy policies related to the provided data.  PLO8 (Ethics)  C6 (Responding)  
CLO5  Codify the knowledge of mathematical modeling on modeling project.  PLO6 (The Engineer and Society)  A4(Organizing)  
Administrative Instructions  
· According to institute policy, 80% attendance is mandatory to appear in the final examination. · Assignments must be submitted as per instructions given for each assignment. · In any case, there will be no retake of (scheduled/surprise) quizzes. · Mobile phones are not allowed during quizzes and exams.  
Lecture Breakdown  
Lecture 1: Introduction to models and modeling. Lecture 2: Sytems; Static and dynamic systems; Open and closed systems. Lecture 3: Symmetry and proportionality; Dimensional analysis. Lecture 4: Functions and graphs in two and three dimensions; Symmetry of graphs; Scaling and shifting. Lecture 5: Rate of change and derivatives. Lecture 6: Differential equations. Lecture 7: Modeling using calculus Part I. Lecture 8: Modeling using calculus Part II. Lecture 9: Optimization using calculus Part I. Lecture 10: Optimization using calculus Part II. Lecture 11: Examples of discrete models. Lecture 12: Difference equations for discrete models. Lecture 13: Linear programming problems and models. Lecture 14: Examples on formulation of LP models. Lecture 15: Geometric solution for problems involving two decision variables. Lecture 16: Algebraic solution and complexity issues. Lecture 17: More examples of LP model formulation. Lecture 18: Basic and nonbasic variables, basis, standard and canonical forms. Lecture 19: Conversion of LP model into standard and canonical forms. Lecture 20: Simplex tableau and simplex algorithm. Lecture 21: Discussion on simplex algorithm, examples. Lecture 22: Problem of selecting initial basis for minimization problems, artificial variables. Lecture 23: Big M method and twophase method. Lecture 24: Special cases of LP problems and their identification during simplex algorithm. Lecture 25: Summing up simplex algorithm. Lecture 26: Regression analysis and its type. Lecture 27: Simple Linear regression Lecture 28: Multiple linear regression. Lecture 29: Error Analysis of results (loss function, Residuals, Overfittting, outliers, noisy data etc.) Lecture 30: Polynomial Regression analysis. Lecture 31: Linear VS Logistic Regression analysis. Lecture 32: Support vector regression Lecture 33: Review and problem session. Lecture 34: Basic components of electrical systems. Lecture 35: Series and parallel LRC circuits Lecture 36: Modeling of basic engineering systems; Translational systems. Lecture 37: Basic elements of mechanical systems; Springs and dampers. Lecture 38: Rotational systems. Lecture 39: Static moments and moments of inertia. Lecture 40: Combination of systems. Lecture 41: Analysis of vibrations. Lecture 42: Examples of modeling a mechanical system. Lecture 43: Similarity of electrical and mechanical systems. Lecture 44: Resonance in electrical systems. Lecture 45: Examples of modeling an electrical system.  
Course Code : ES 341
Course Title : Numerical Analysis
Credit Hours : 3+0
Instructors : Prof. Dr. Sirajul Haq, Sec: A & B, Office: Room G4, FES
Phone (Ext.) : 2257, Email: siraj@giki.edu.pk
Course Introduction  
This course is required for engineering students. The prerequisite is the Differential Equations and linear Algebra taught in third semester. The aim of this subject to develop the understanding of numerical techniques for solving linear and nonlinear equations and differential equations of real world engineering.  
Course Contents  
· Mathematical Preliminaries and Errors Analysis · Iterative methods of root finding · Solution of system of linear equations · Interpolation and polynomial approximation · Numerical Differentiation and Integration · Numerical Solution of Ordinary Differential Equation  
Mapping of CLOs and PLOs  
S.No  CLOs  PLOs  Bloom Taxonomy  
After the end of this course, students will be able to  
CLO1  Apply different polynomial approximation methods  PLO1  C3  
CLO2  find the roots of linear and nonlinear equations  PLO1  C3  
CLO3  Use various numerical methods for differentiation, integration and solution of ordinary differential equations  PLO1  C3  
CLO4  Write efficient, welldocumented code and present numerical results in an informative way.  PLO1  C3  
Direct Assessment Tools Based on CLOs  
Assessment Tools  CLO1  CLO2  CLO3  CLO4  
Quizzes  30%  20%  20%  10%  
Assignments  20%  20%  20%  50%  
Midterm Exam  30%  30%  30%  20%  
Final Exam  20%  30%  30%  20%  
Grading Policy  
Assessment Items  Weightage  
Assignments  5%  
Announced Quizzes  20%  
Midterm Exam  30%  
Final Exam  45%  
Text and Reference Books  
Text Book: Numerical Analysis (9^{th} edition) by R. L. Burden and J. D. Fairs, Books/Cole Reference Books:
 
Administrative Instruction  
 
Lecture Breakdown  
Lecture 01  Introduction to Numerical Analysis, Review of Calculus  
Lecture 02  Types of errors. Measuring size of errors, Roundoff errors and floating point arithmetic. Chopping and rounding  
Lecture 03  The Bisection Method and related theorems, Numerical Examples using Bisection Method  
Lecture 04  Fixed point iterations and related theorems, Numerical Examples using Fixed point iterations  
Lecture 05  The Newton and Secant Methods and their applications  
Lecture 06  Error Analysis and Modified Newton’s Method with examples  
Lecture 07  Aitken’s delta square & Steffensen’s Methods  
Lecture 08  Multiple roots, Horner’s Method and Algorithms for Iterative Techniques  
Lecture 09  Introduction to matrices and Linear System of Equations  
Lecture 10  Gaussian Elimination with Backward Substitution and GaussJordan Method, Pivoting Strategies, Partial and Scaled Partial Pivoting  
Lecture 11  LU Factorization  
Lecture 12  Interpolation and Lagrange Polynomial, Taylor Polynomial  
Lecture 13  Newton’s Forward and Backward divided differences and Polynomials  
Lecture 14  Newton’s Forward and Backward differences  
Lecture 15  Centered divided difference and Polynomials  
Lecture 16  Hermite interpolation  
Lecture 17  Splines, Construction of Splines (Natural and Clamped Splines)  
Lecture 18  Applications of Splines, Algorithm for interpolation  
Lecture 19  First order derivatives using two, three and five points  
Lecture 20  Formulas for higher derivatives and RoundOff Instability  
Lecture 21  Richardson’s Extrapolation  
Lecture 22  Trapezoidal & Composite Trapezoidal rules rules of integration and examples  
Lecture 23  Simpson’s Rule of integration and examples  
Lecture 24  Composite Simpson’s Rule of integration and examples  
Lecture 25  Romberg integration  
Lecture 26  Algorithm for Numerical Differentiation and Integration  
Lecture 27  Review of Ordinary Differential Equations, Initial and Boundary Conditions, Euler’s Method for the Solution of wellposed initialvalue Problem  
Lecture 28  Taylor’s Method of Orders two and Four  
Lecture 29  Modified Euler and RungeKutta Method of Order Four Methods  
Lecture 30  Algorithm for Numerical Solution of Ordinary Differential Equations  
Note: This outline serves only as a rough guidance of the course. It may be changed or modified as and when deemed necessary by the instructor.
Syllabus/Course Outline Instrumentation (ES 451)Fall Semester 2023  
PreRequisite(s): ES 211 Circuit Analysis I Instructor: Dr. M. Omer Bin Saeed Email: omer.saeed@giki.edu.pk Office Hours: 10:30 AM – 12 PM (Thursday, Friday) OR By appointment.  
Course Introduction  
Precision measurements terminologies principles of different measurement techniques; instruments for measurement of electrical and nonelectrical quantities; systems for signal processing and signal transmission; modern instrumentation techniques; static and dynamic responses of instrumentation and signal conditioning; data acquisition systems; principles of operation, construction and working of different analog and digital meters, Advanced Testing & Measuring instruments recording instruments, signal generators, Input and output transducers; types of bridges for measurement of resistance, inductance, and capacitance; power and energy meters; voltage/current measurements. The Programmable Logic Controllers (PLC), SCADA and communication are introduced. After learning the principles of developing PLC programs, examples of control systems are presented.  
Course Contents  
· Introduction to electrical measurements and instrumentation, and their characteristics · Signal conditioning and sensor loading · Different types of sensors and circuits · PID control, relays and PLCs SCADA systems  
Text and Reference Books  
Textbooks: · Measurements and Instrumentation, 1st Edition, by U A Bakshi· Modern Control Technology: Components and Systems, 3rd Ed. by Christopher Killian Reference Books: · Fundamentals of Industrial Instrumentation and Process Control, by William C. Dunn, McGrawHill, 2005.  
Mapping of CLOs to PLOs  
 
Grading Policy  
 
Administrative Instructions  
· As per institute policy, 80% attendance is mandatory to appear in the final examination. No exceptions. · Assignments must be submitted on due date as per instructions given for each assignment. · In any case, there will be no retake of (scheduled/surprise) quizzes.  
Lecture Breakdown  
Week  Topics  CLO  
1  Introduction to Electrical Measurements and Instrumentation.  1  
2  Measurement system and its static, dynamics and random characteristics  
3  Signal Conditioning and sensor loading  
48  Different types of sensors and their functionality  2  
 MidTerm Examination 
 
9  Galvanometer, Voltmeter, Ampere meter, power meter  2  
10  Introduction to PID Control, relays and relay based logic implementation.  3  
1112  Introduction to PLCs and Ladder Diagrams design development  
1314  Industrial Communication, SCADA, Latest trends in instrumentation  4  
15  Workshop  5 
ES314: Microprocessor Interfacing (3 Credit Hours) Fall2023 
PreRequisite: Computer Architecture (ES213) Instructor: Dr. Muhammad Sadiq Office # G16, FES, GIKI. Email: muhammad.sadiq@giki.edu.pk 
Course Description  
This course provides basic knowledge necessary to understand the hardware operation and programming of PIC based commercial microcontrollers (RISC architecture). This course also emphasizes understanding the hardware architecture, memory organization, input/output interface, peripherals interfacing and software flow (assemblers, compilers, and debugging tools) of the microprocessors/microcontrollers. The course will also enable the students to have 1) working knowledge of a modern computer system architecture along with supporting devices 2) utilizing and programming of microcontrollers/microprocessors for any realworld application and 3) interface and control devices using microcontrollers/microprocessors.  
Course Contents  
 
Mapping of CLOs & PLOs  
 
Overall Grading Policy  
 
Text and Reference Books  
TEXTBOOKS: · PIC Microcontroller and Embedded Systems, M.A. Mazidi, R.D. McKinlay, (Prentice Hall). · PIC18 Family Detailed Reference Manual (Latest Edition) · PIC18F47K42 Datasheet REFERENCE BOOKS: · PIC Microcontrollers Programming in BASIC, MikroElectronika · PIC Microcontrollers Programming in C, MikroElectronika · Programming dsPIC Microcontroller in C, MikroElectronika  
Additional Resources  
· electricaltechnology.org/2020/05/typesofmicrocontrollers.html · youtube.com/playlist?list=PLMmOAJ4LMgOJ1ATfP7kICV6zXPmAUqGU · www.allaboutcircuits.com/latest/digitalics/processors/  
General/Administrative Instructions  
· We will focus both on theory and practical applications and implementation of what we are learning. · There will be no compromise on discipline and attendance. 80% attendance is mandatory to appear in final. · There will be both announced and surprise quizzes. Both will have equal weightage. · The above table showing the grading policy can be updated any time during the course by the instructor. · Plagiarism and use of unfair means will lead to minimum course “F” and up to semester “F” grades. · Kindly take appointment via email before coming to office, unless it’s urgent.  
Weekly Lecture Breakdown  

EE334 Introduction to Photonics (3 Credit Hours) – Fall 2023 
PreRequisite: PH102 Electricity and Magnetism Instructors: Dr. Usman Habib Office # G26 FES, GIK Institute, Ext: 2290 Email: usman.habib@giki.edu.pk Office Hours: 10:00 – 2:00 pm (Tuesdays and Wednesdays) 
Course Introduction  
The students are expected to learn the necessity as well as the basic science and engineering of photonics. The course enlarges on the waveparticle duality of light, electromagnetic wave theory, physical optics, geometrical optics, laser operation and optic fiber theory. At the end of the course, students are supposed to be knowledgeable on the theory of photonics and be able to study advanced courses and perform complex tasks in the field of optics and photonics.  
Course Contents  
· Physical/Wave Optics: Nature and properties of light, Electromagnetic waves Propagation of light, Scattering, Reflection, Refraction, Fresnel equations, Boundary Conditions Wave equations, superposition, coherence, interference, Interferometers Diffraction, Fraunhofer Diffraction, Diffraction Grating · Geometric Optics Image formation, Reflection/refraction from spherical mirrors/lenses Prisms, Microscope, Camera, Telescope Aberration, optics of the eye · Additional Topics: Lasers operation, characteristics of laser beam, Mode lock lasers, Holography Optical waveguides and fibers Basics of fiber optic telecommunication, optical modulation and detection Polarization, Birefringence, Optical activity, Electrooptic effect, LCD, Matrix treatment of Jones Vectors
 
Mapping of CLOs & PLOs  
 
CLOs Direct Assessment Mechanism  
 
Overall Grading Policy  
 
Text and Reference Books  
Besides the handouts given in class, following reference materials shall be used: Textbooks: 1. Eugene Hecht, A. R. Ganesan, “Optics” 5th Edition. (Global Edition) (2017) 2. Frank L. Pedrotti, Leno S. Pedrotti, “Introduction to Optics”, 3rd Edition, 2006 Reference books: 1. Georg A. Reider “Photonics: An Introduction” 1st ed, Springer, 2016.

Administrative Instructions 
§ According to institute policy, 80% attendance is mandatory to appear in the final examination. § For queries, kindly follow the office hours to avoid any inconvenience or email the instructor. 
Computer Usage 
Students are encouraged to solve some assigned tasks using the available engineering softwares, such as MATLAB, Optiwave Optisystem

Lecture Breakdown  

ES 333 Fluid Mechanics  
PreRequisite: ES232: Thermodynamics Instructor: Nayab (G51, FES) Email: nayab@giki.edu.pk  
Course Introduction  
This course covers the fundamentals of fluid mechanics with physical and analytical principles. The course develops an ability to identify, predict and evaluate the flow regime and hydrostatic forces in any engineering system. The principles of conservation of mass, momentum and energy are also included to analyze the differential flow of fluids. This understanding is subsequently carried over to mechanical, environmental and biomedical systems.
 
Course Content  
· Introduction to Fluid Mechanics · Basic Properties of Fluids and Viscous Effects · Pressure and Fluid Statics · Hydrostatic Forces · Fluid Kinematics · Fluid Dynamics · Momentum Analysis of Flow Systems · Dimensional Analysis · Pipe Flows · Differential Analysis of Fluid Flow
 
Mapping of Class Learning Outcome (CLOs) to Program Learning Outcomes (PLOs)  
S. No  CLOs  PLOs  Bloom Taxonomy  
 After completing this course the student will be able to… 
 
CLO1  Apply basic principles of fluid mechanics to fluid statics and elementary fluid dynamics.
 PLO2  C3  
CLO2  Apply vector calculus to elementary problems in fluid kinematics.  PLO1  C3  
CLO3  Perform dimensional analysis and apply similitude analysis between a model and a prototype.  PLO2  C3  
CLO4  Explore the role of fluid mechanics in the world around us.  PLO6  A2 (Responding)  
CLO5  Explore the evolution of fluid mechanics as a discipline in conjunction with the development of human civilization.  PLO12  A3 (Valuing)  
Grading Policy (Subject to Change)  
Assessment Items  % Marks (Subject to the constraint of 100 Marks)  
1.  Assignment  5%  
2.  Quizzes  15%  
3.  MidTerm Exam  30% (After 8^{th} week)  
4.  Presentations/Project  10% (Before Final)  
4.  Final Exams  40% (After 15^{th} week)  
Text and Reference Books  
Text book:Fundamentals of Fluid Mechanics, 7^{th} Edition, Bruce R. Munson (2012)
Reference books:1. Fluid Mechanics, Fundamentals and Applications, 3rd Edition, Yunus. A.Cengel (2013) 2. P. K. Kundu, I. M. Cohen David, & R. Dowling, “Fluid Mechanics”, 5th Edition, Elsevier, Academic Press, (2012)  
Administrative Instruction  
· Student Attendance is expected to be 100%, and minimum 80% (mandatory) attendance that is required to sit in the final exams · Student must pay the attention for reading the text books chapter for course assessment · All the direct assessment tools i.e., Quizzes, Assignment, Midterms, Project and final Exams must be attempted. Failure to attempt in any of the assessment tools without any medical reasons may results to fail in that particular assessment. All quizzes would be taken together for all sections. · Students are advised to study the previous lecture before next class for better understanding. · Class participation is highly encouraged. It develops more interest. Students are also advised to spare some time for group discussion with their classmates to explore new ideas. · Handouts and related notes will available on FES internet course portal. · For any query please contact instructor during office time.  
Lecture Breakdown  
Lecture#1  Introduction of the basis of Fluid Mechanics and its practical Applications  
Lecture#2  Fluid behavior at static and dynamic conditions  
Lecture#3  Governing laws to obey while solving fluid mechanics  
Lecture#4  Parameters describing the fluid flow and introduction to basic fluid properties  
Lecture#5  No slip condition, viscosity and its effects  
Lecture#6  Types of fluids in terms of viscous effects, fluid flow analysis  
Lecture#7  Reynolds’s no., compressibility of fluids  
Lecture#8  Speed of sound and its relation with compressibility of fluids  
Lecture#9  Surface tensions and capillary effects  
Lecture#10  Pressure and its measurements  
Lecture#11  Pressure at a point and its variation with depth  
Lecture#12  Pressure in compressible and incompressible fluids  
Lecture#13  Pressure measurements in a rigid body  
Lecture#14  Pressure measurements (continue)  
Lecture#15  Hydrostatic forces on submerged plan surfaces  
Lecture#16  Hydrostatic forces on submerged curved surfaces  
Lecture#17  Buoyancy and stability  
Lecture#18  Control volume and system representations  
Lecture#19  Eulerian and Lagrangian Description  
Lecture#20  Eulerian and Lagrangian Description (continue)  
Lecture#21  Steady effects of flow  
Lecture#22  Unsteady effects of flow  
Lecture#23  Material Derivative  
Lecture#24  Types of pressure, Momentum Equations  
Lecture#25  Newton’s second law, conservation of mass principle  
Lecture#26  Bernoulli equation and its restrictions  
Lecture#27  Reynolds Transport Theorem  
Lecture#28  Reynolds Transport Theorem (continue)  
Lecture#29  Continuity Equation, Energy Equation  
Lecture#31  Energy Equation (continue)  
Lecture#32  Comparison of Energy Equations with Bernoulli equation  
Lecture#33  Irreversible fluid flows  
Lecture#34  Dimensions and Units,  
Lecture#35  Dimensional homogeneity, Experimental testing  
Lecture#36  Modelling and similitude  
Lecture#37  Modelling similitude (continue)  
Lecture#38  Fluid element kinematics  
Lecture#39  Conservation of linear momentum  
Lecture#40  mass conservation  
Lecture#41  Inviscid and viscous flow  
Lecture#42  Navier Strokes Equation  
Lecture#43  Application of Navier Stokes Equation on a fluid flow  
Lecture#44  General Characteristics of pipe flows  
Lecture#45  Fully developed laminar and Turbulent flow  
ES474 Optoelectronics (3 CH), Spring 2023  
PreRequisite: ES376 Optical Engineering Instructor: Dr. Usman Habib (Room G26, FES) Email: usman.habib@giki.edu.pk Phone: Ext 2290 Office Hours: Tuesdays and Thursdays (1230 ~ 1430 HRS)  
Course Introduction  
This module introduces the main components of modern day optoelectronic systems. This will include active devices for the generation, detection, amplification and modulation of optical signals and the key passive components in modern optical communication systems. The working principle for different types of optoelectronic devices such as optical modulators, LCDs, etc are studied in detail. The optoelectronic characteristics of different type of transmitters (LED, Lasers, Laser diodes, optical amplifiers) and receivers (pin photodiode, avalanche PD, heterojunction PD, solar cell) are analyzed. This module also covers modeling and analysis of optoelectronic devices in a modern engineering software.  
Course Content  
· Polarization · Light Propagation in an Anisotropic Medium · Liquid Crystal Displays · ElectroOptic Effects and Applications · Integrated Optics, Optical sensors, Optical Analog Signal Processing · Acoustooptic effect and applications · Magnetooptic effect and applications · Nonlinear Optics and Second Harmonic Generation · LightEmitting Diodes, Laser Diodes, Qswitched and modelocked lasers · Photodetectors, Noise in Photodetectors · Photovoltaic Devices: Solar Cells · Optical Amplifiers · Organic Optoelectronics
 
Mapping of Class Learning Outcome (CLOs) to Program Learning Outcomes (PLOs)  
S. No
 CLOs  PLOs  Bloom Taxonomy  
CLO1  Explain the fundamental concepts associated with the optical properties materials, devices and processes used to produce, detect, or control light.  PLO2 Problem Analysis  C2 Understanding  
CLO2  Analyze the device architecture, characteristics, performance and parameters of optoelectronic devices  PLO 4 Investigation  C4 Analyzing  
CLO3  Model and compare the performance of optoelectronic phenomena, devices and systems using modern simulation tools  PLO5 Modern Tool Usage  C4 Analyzing  
CLO4  · Appraise the latest research work in optoelectronics by attending seminars and workshops, and relate your understanding to stateoftheart  PLO 12: Lifelong Learning  A3 Valuing  
CLO5  Investigate the role of optoelectronic devices in environment friendly applications and specify the organic optoelectronics to achieve a sustainable future  PLO 7 Environment and Sustainability  A4 Organization  
 
Grading Policy (Subject to change upon the discretion of the instructors)  
Assessment Item  % Marks 
 
1.  Assignment  4 %  
2.  Technical Report (1 and 2)  2 %  
3.  Quizzes  12 %  
4.  CEP (Viva and Presentation)  12 %  
5.  MidTerm Exam  30 % (After 8th week)  
6.  Final Exams  40 % (After 15th week)  
 
Text and Reference Books  
Text book:1. S. O. Kasap, “Optoelectronics and Photonics: Principles and Practices,” 2nd Edition, Pearson, NJ, USA, 2013.2. Adrian Kitai, “Principles of Solar Cells, LEDs and Diodes: The role of the PN junction”, John Wiley, 2011.Reference books:1. B. E. A. Saleh and M. C. Teich, “Fundamentals of Photonics”, John Wiley, 2nd ed. 2007. 2. JM. Liu, “Photonic Devices”, Cambridge University Press, 2009. 3. Khare, R. P., ed. Fiber optics and optoelectronics. Oxford University Press, USA, 2004. 4. Clifford Pollock, “Optoelectronics, Irwin, 1995. 5. Wilson and Hawkes, “Optoelectronics”, Prentice Hall, 2nd ed.1995.  
Administrative Instruction  
· Student Attendance is expected to be 100%, and minimum 80% (mandatory) attendance that is required to sit in the final exams · Student must pay the attention for reading the text books chapter for course assessment · All the direct assessment tools i.e., Quizzes, Assignment, Midterms, Project and final Exams must be attempted. Failure to attempt in any of the assessment tools without any medical reasons may results to fail in that particular assessment. All quizzes would be taken together for all sections. · Students are advised to study the previous lecture before next class for better understanding. · Class participation is highly encouraged. It develops more interest. Students are also advised to spare some time for group discussion with their classmates to explore new ideas. · Handouts and related notes will available on FES internet course portal. · For any query please contact instructor during office time.
 
Lecture Breakdown  
Lecture#1  Optoelectronics: An Overview  
Lecture#2  Polarization of Light  
Lecture#3  Malus’s Law  
Lecture#4  Birefringence  
Lecture#5  Birefringent Optical Devices  
Lecture#6  Optical Activity and Circular Birefringence  
Lecture#79  Liquid Crystal Displays  
Lecture#1012  ElectroOptic Effects  
Lecture#13  PhaseShift Modulation  
Lecture#14  Longitudinal ElectroOptic Modulator  
Lecture#15  Transverse ElectroOptic Modulator  
Lecture#16  Integrated Optics: An Introduction  
Lecture#17  Waveguides and Integrated Optic Phase Shifter  
Lecture#17  Integrated Optic Phase Shifter  
Lecture#18  Integrated MachZehnder Modulators, Coupled Waveguide Modulators and Modulated Directional Coupler  
Lecture#18  Coupled Waveguide Modulators  
Lecture#18  Modulated Directional Coupler  
Lecture#19  AcoustoOptic Modulators and Photoelastic Effect  
Lecture#20  AcoustoOptic Modulation Regime, RamanNath Regime, Bragg Regime  
Lecture#21  Frequency Shift, Analog and Digital AO Modulators, SAW Based Waveguide AO Modulator  
Lecture#22  Faraday Rotation and Optical Isolators  
Lecture#23  Nonlinear Optics and Second Harmonic Generation (SHG)  
Lecture#23  Second Harmonic Generation (SHG)  
Lecture#24  Second Harmonic Generation (SHG) The Photonic View  
Lecture#25  Quick review of topics from Semiconductor Physics such as Energy Bands, Intrinsic and Extrinsic Material, pn Junctions and Direct and Indirect Bandgaps (also covered in ES 475)  
Lecture#26  LED Principles, Materials and Structures, LED Efficiencies and Luminous Flux (also covered in ES 475)  
Lecture#27  Principle of the Laser Diode, Heterostructure Laser Diodes, Quantum Well Devices, Elementary Laser Diode Characteristics  
Lecture#28  The Laser Diode Equation, Laser Diode Equation, Optical Gain Curve, Threshold, and Transparency Conditions  
Lecture#29  Single Frequency Semiconductor Lasers (Distributed Bragg Reflector LDs, Distributed Feedback LDs)  
Lecture#30  Principle of the pn Junction Photodiode, Shockley–Ramo Theorem and External Photocurrent, Absorption Coefficient and Photodetector Materials  
Lecture#31  Quantum Efficiency and Responsivity, The pin Photodiode, Avalanche Photodiode Principles and Device Structures, Heterojunction Photodiodes  
Lecture#32  Schottky Junction Photodetector, Phototransistors, Photoconductive Detectors and Photoconductive Gain, Basic Photodiode Circuits  
Lecture#33  Noise in Photodetectors  
Lecture#34  Noise in Photodetectors  
Lecture#35  Photovoltaic Devices: Solar Cells, Basic Principles  
Lecture#36  Operating Current and Voltage and Fill Factor, Equivalent Circuit of a Solar Cell, Solar Cell Structures and Efficiencies.  
Lecture#37  Qswitched and modelocked lasers  
Lecture#38  Optical MEMs  
Lecture#39  EDFAs  
Lecture#40  Raman Amplifiers, Semiconductor Amplifiers  
Lecture#41  Organic Optoelectronics: An Overview  
Lecture#42  Organic Semiconductors, Level Structure of Organic Semiconductors  
Lecture#43  UVVis Spectroscopy of Organic Semiconductors  
Lecture#44  Organic Optoelectronic Devices: OLEDs, PLEDs, LDs  
Lecture#45  Organic Optoelectronic Devices: Organic Solar Cells  
ES465 Semiconductor Devices and Applications (3 CHs) 
PreRequisite: Semiconductor Materials and Devices (ES462) Instructor: Dr. Muhammad Usman Office # G1, FES, GIK Institute, Ext. 2279 Email: m.usman@giki.edu.pk Office Hours: 10:00 a.m. ~ 12:00 p.m. 
Course Introduction  
This course is organized to bring students with a background in freshmen physics to a level of understanding which will allow them to understand the basics and working of semiconductor devices and their applications in the specialized fields. The first half of the course deals with the basics and working of semiconductor devices. The second half of the course deals with the applications of semiconductor devices. At the end of the course, students are supposed to be knowledgeable on the semiconductor devices and their applications and may implement them in their future academic as well as industrial professions.  
Course Contents  
1. Introduction to semiconductor devices and their physics 2. Applications of various semiconductor devices 3. Modeling and simulation of semiconductor devices 4. Impacts of semiconductor devices on humans and environment swabi 5. Recent trends and innovations in the semiconductor industry  
Mapping of CLOs and PLOs  
 
Overall Grading Policy  
 
CLOs Direct Assessment Mechanism  

Text and Reference Books  
Textbook(s):
Reference book(s): · S. O. Kasap, Principles of Electronic Materials and Devices – Third Edition – (2008) · Solid State Electronic Devices, 7th Edition, by Ben G. Streetman and Sanjay Kumar, Prentice Hall (2018)  
Supporting Tools for Course Delivery  
Tools:
 
Administrative Instruction  
§ According to institute policy, 80% attendance is mandatory to appear in the final examination. § Assignments must be submitted as per instructions mentioned in the assignments. § Student must pay attention on reading the textbooks for course assessments rather than relying solely on the lecture slides. § In any case, there will be no retake of (scheduled/surprise) quizzes. § For queries, kindly follow the office hours to avoid any inconvenience.  
Lecture Breakdown  
 
The above outlines serve only as a rough guideline of the course contents and may be changed as and when deemed necessary by the instructor. The instructor is at a liberty to best distribute number of lectures to cover the entire course 
ES376 Optical Engineering (3 CH) 
PreRequisite:ES371 Instructor: Prof. Dr. Muhammad Hassan Sayyad Office # G11 FES, GIK Institute, Ext. 2279 Email: sayyad@giki.edu.pk Office Hours: 10:00 ~ 11:00 a.m. 
Course Introduction 
This course introduces students to the theory of optical engineering. The students are expected to learn the necessity as well as the basic physics of optical engineering. The course enlarges on the geometrical optics, waveparticle duality of light, electromagnetic wave theory and quantum behavior of the light. At the end of the course, students are supposed to be knowledgeable on the theory of optical engineering and may implement them in their future academic as well as industrial professions. 
Course Contents 
1. Optical beams (Textbook sections 1.11.4) 2. Total internal reflection (Textbook sections 1.5) 3. Fresnel’s Formulae for amplitude coefficients (Textbook sections 1.6A) 4. Reflected and transmitted energy (Textbook sections 1.6B) 5. Polarization by reflection (Textbook sections 1.6B) 6. Optical resonators (Textbook section 1.7) 7. Principles of interference (Textbook section 1.10) 8. Principles of diffraction (Textbook section 1.12) 9. Geometrical optics and wave optics 10. Fermat’s Principles 11. Laser dynamics and advanced topics (Textbook sections 4.14.8) 12. Principles of operation and applications of lasers

Mapping of CLOs and PLOs  
 
Overall Grading Policy  

Text and Reference Books 
Text books:
Reference books: · Frank L. Pedrotti, Leno S. Pedrotti, “Introduction to Optics” (2007) · Ronald G. Driggers, “Encyclopedia of Optical Engineering” (2003) · Bruce H. Walker, “Optical Engineering Fundamentals” (1998) · Allen Nussbaum, Richard A. Phillips, “Contemporary Optics for Scientists and Engineers” (1976) 
Administrative Instruction 
§ According to institute policy, 80% attendance is mandatory to appear in the final examination. § Short of attendance students must not bother the instructor at the end of the semester. § Assignments must be submitted as per instructions. § Late submission of assignments will not be entertained § Student must pay attention on reading the recommended course text books rather than relying only on the lecture slides § In any case, there will be no retake of (scheduled/surprise) quizzes. § Regularly check your official email for important announcements. § For queries, kindly follow the office hours in order to avoid any inconvenience. 
Lecture Breakdown 
§ Lectures 0103: Optical beams § Lectures 0406: Total internal reflection § Lectures 0709: Fresnel’s Formulae for amplitude coefficients § Lectures 1012: Reflected and transmitted energy Polarization by reflection § Lectures 1315: Optical resonators § Lectures 16 20: Simulation, modeling and demonstration of optical engineering principles, phenomena, devices and systems § Lectures 2122: Fermat’s Principles, Principles of interference and diffraction § Lectures 2324: Multiple interference and optical resonators § Lectures 2539 Laser dynamics § Lectures 4045 Principles of operation and applications of lasers

The above outlines serve only as a rough guideline of the course contents and may be changed as and when deemed necessary by the instructor. The Instructor is at a liberty to best distribute number of lectures to cover the entire course 
ES466Microelectronics Manufacturing EngineeringSpring 2023  
PreRequisite(s): None Instructor: Engr. Muhammad Saqib Email: muhammd.saqib@giki.edu.pk Office G 64, FES Building Office hours: Mondays [10.30 – 11.30 am and 12.30 – 1.30pm]; Wednesdays [10.30 – 11.30am and 12.30 – 1.30pm]; Thursdays [10.30am – 12.30pm] Website: https://giki.edu.pk/personnel/muhammadsaqib/  
Course Introduction  
The microelectronics manufacturing engineering course cover major aspects of microelectronics manufacturing technology, such as wafer processing, oxidation, diffusion, ion implantation, thin films deposition, chemical vapor deposition, lithography, metallization, plasma etching, etc. This course emphasizes design and fabrication of siliconbased devices and integrated circuits, learn how to utilize most of the semiconductor processing equipment. Also, the processes involved in microlithography masking and pattering by UV lithography technique. Positive and negative resist systems as well as processes for IC application will also be studied. Advanced topics will include projectionsystem design, resistmaterials characterization, process optimization, and electronbeam lithography patterning.  
Course Content  
• Designing of electronic/micro devices and integrated circuits. • Manufacturing process of electronic devices. • Electronic devices processing equipment’s and their manufacturing limit. • Microlithography masking and pattering by UV lithography technique. • Electron beam lithography: Design and patterning. • Positive and negative resist systems and resistmaterials characterization. • Oxidation, diffusion, ion implantation, metallization and plasma etching processes.  
Mapping of Class Learning Outcome (CLOs) to Program Learning Outcomes (PLOs)  
S. No  CLOS  PLOs  Bloom Taxonomy  
CLO1  Describe the fundamentals and techniques of thin film processing for microelectronics manufacturing engineering  PLO1 (Engineering Knowledge)  C2 (Comprehension)  
CLO2  Discuss and analyze different types of lithography and etching processes for microelectronics manufacturing engineering  PLO1 (Engineering Knowledge)  C2 (Comprehension)  
CLO3  Design, simulate and analyze micro/solid state devices to meet a set of geometric and processing parameters  PLO3 (Design and development of solutions)  C5 (Synthesis)  
CLO4  Formulate the solutions as an Individual and Team to meet the specifications of the design project.  PLO9 (Individual and teamwork)  C5 (Synthesis)  
CLO5  Explain the results and findings of the proposed design solution in the design project effectively.  PLO10 (Communication)  C5 (Synthesis)  
Grading Policy  
Assessment Items  % Marks  
1.  Quizzes  10%  
2.  Assignments  5%  
3.  MidTerm Exam  30%  
4.  CEP  15%  
5.  Final Exams  40%  
Text and Reference Books  
Text Books: · Fundamentals of Semiconductor Fabrication, by Gray S. May, Simon S. Sze, John Wiley Publishers, 2004. · Fundamentals of Semiconductor Manufacturing and Process Control, by Gray S. May, Costas J. Spanos, John Wiley Publishers, 2006. Reference books: · Semiconductor Integrated Circuits processing technology by W.R. Runyan and K. E. Bean · The Science and Engineering of Microelectronic Fabrication by Stephen A. Campbell, Second Edition. · Foundations of MEMS by Chang Liu, Second EDITION · Silicon VLSI Technology, Fundamentals, Practice and Modeling by James D. Plummer, Michael D. Deal, Peter B. Griffin. · Introduction to Semiconductor Materials and Devices by M.S.Tyagi · Introduction to Semiconductor Manufacturing Technology by Hong Xiao, SPIE Press, 2012
 
Administrative Instruction  
· Student Attendance is expected to be 100%, and minimum 80% (mandatory) attendance that is required to sit in the final exams. · Student must pay the attention for reading the text books chapter for course assessment rather than lecture slides. · All the direct assessment tools i.e., Quizzes, Assignment, Midterm and final Exams must be attempted. Failure to attempt in any of the assessment tools without any medical reasons may results to fail in that particular assessment. · In any case, there will be no retake of (scheduled/surprise) quizzes · For queries, kindly follow the office hours in order to avoid any inconvenience. However I may be contacted anytime by getting appointment using email or telephonically  
Lecture Breakdown  
Week 1  Course overview and introduction of microelectronics manufacturing engineering. · Generic IC manufacturing Systems Types and Goals of Manufacturing Systems  
Week 2  Basic structure of electronic devices. · PN Junction Fabrication · Making of EGS, Czechrolski method Float Zone method, basic steps of wafer fabrication  
Week 3  Device manufacturing process · Oxidation of Silicon, Principle Uses of Silicon Dioxide · Thermal Oxidation of Silicon Oxidant Sources  
Week 4  · Chemical Vapor Deposition of Silicon Dioxide · PECVD of Silicon Dioxide Sputtering and Evaporation  
Week 5  Thinfilm Processing · Epitaxial Growth of Silicon · Growth Steps in VPE · Equilibrium Growth/deposition Modes Critical Thickness and Stresses in thin Films  
Week 6  · Liquid Phase Epitaxy · Molecular Beam Epitaxy Vacuum Pumps  
Week 7  Doping in thin films · Diffusion Ion Implantation  
Week 8  Microlithography masking and pattering by UV lithography technique  
Week 9  · Mask designing · pattern transfer exposure tools for device structures  
Week 10  Electron beam lithography Design and patterning  
Week 11  Advanced Lithography Techniques  
Week 12  Positive and negative resist systems, resistmaterials and their characterization  
Week 13  Etching · wet chemical and dry etching · reactive plasma etching · silicon etching · silicon oxide etching aluminum etching and their characterization  
Week 14  Device processing equipment’s and utilization.  
Week 15  Designing of electronic/micro devices.  
INSTRUCTIONS/SUGGESTIONS FOR STUDENTS:
__________________________
Signature
Syllabus/Course Outlines
Course Code : MT 203
Course Title : Complex Variable and Transforms
Credit Hours : 3+0
Instructors : Prof. Dr. Sirajul Haq, Sec: A & B Office: Room G4, FES
Phone (Ext.) : 2257, Email: siraj@giki.edu.pk
Course Introduction  
This course is required for engineering students. The prerequisite is the Calculus II taught in second semester. The aim of this subject to develop the understanding of Complex variables, Laplace and Fourier Transforms for the solutions of many mathematical problems including ordinary and partial differential equations. .  
Course Contents  
· Complex variables · Laplace Transforms and its applications in ordinary differential equations · Fourier Transforms and its applications · Special functions · Use of transforms in partial differential equations  
Mapping of CLOs and PLOs  
S.No  CLOs  PLOs  Bloom Taxonomy  
After the end of this course, students will be able to  
CLO1  To solve basic problems related to complex numbers and functions  PLO1  C3  
CLO2  Apply various techniques to evaluate integrals of complex functions on different paths  PLO1  C3  
CLO3  Use Laplace Transform for the solution of ordinary and integral equations  PLO1  C3  
CLO4  Apply Fourier Transform for the solution of differential equations  PLO1  C3  
Grading Policy  
Assessment Items  Weightage  
Assignments  5%  
Announced Quizzes  20%  
Midterm Exam  30%  
Final Exam  45%  
Text Book: Advanced Engineering Mathematics (10^{th} edition) by Erwin Kreyszig, John Wiley Reference Books:
 
Administrative Instruction  
 
Lecture Breakdown  
Lecture 01  Complex Analysis: Complex numbers and functions, , ,  
Lecture 02  Limit and derivative, Analytic function, CauchyRemain equations  
Lecture 03  Line integrals in the complex plane  
Lecture 04  Continued  
Lecture 05  Taylor and Laurent series  
Lecture 06  Continued  
Lecture 07  Residues, Evaluation of real integrals using Residue theorem.  
Lecture 08  Continued  
Lecture 09  Laplace Transforms: Laplace Transforms and Inverse Transforms  
Lecture 10  Linearity, transforms of derivatives and integrals, shifting theorem  
Lecture 11  Continued  
Lecture 12  Unit Step function, Differentiation and Integration of transform, Convolution  
Lecture 13  Continued  
Lecture 14  Continued  
Lecture 15  Partial fractions, Applications of Laplace transform to the solution of differential and integral equations  
Lecture 16  Continued  
Lecture 17  Continued  
Lecture 18  Continued  
Lecture 19  Fourier Series, Integrals and Transforms: Fourier series, Coefficients, Orthogonality, function of period, Complex Fourier series,  
Lecture 20  Continued  
Lecture 21  Continued  
Lecture 22  Continued  
Lecture 23  Fourier integrals, Fourier cosine and sine integrals,  
Lecture 24  Continued  
Lecture 25  Fourier cosine and sine transforms,  
Lecture 26  Continued  
Lecture 27  Continued  
Lecture 28  Complex form of Fourier transform, Convolution  
Lecture 29  Continued  
Lecture 30  Continued  
Lecture 31  Continued  
Lecture 32  Special functions  
Lecture 33  Bessel’s equations, Bessel’s functions of the second kind  
Lecture 34  Modified Bessel functions  
Lecture 35  Sturm Liouville problem, Orthogonality of Bessel function  
Lecture 36  Continued  
Lecture 37  Partial differential equations  
Lecture 38  Use of FourierBessel series  
Lecture 39  Solution of heat equation using Fourier Transform  
Lecture 40  Solutions of heat and wave equations using Laplace transform  
Lecture 41  Continued  
Lecture 42  Solution of heat and wave equations using Fourier Transform  
Lecture 43  Continued  
Lecture 44  Legendre differential equation and its solution  
Lecture 45  Continued  
Note: This outline serves only as a rough guidance of the course. It may be changed or modified as and when deemed necessary by the instructor.
ES205: Advance Linear Algebra Fall 2023 
PreRequisite: MT201 Instructor: Dr. Babar Zaman Email: babar.zaman@giki.edu.pk Office: G22, FES Phone: 2244 Consultation hours: During office hours, or by appointment for long consultation 
Course Introduction 
We are passing through the ‘information age’ in which information extraction and processing plays a vital role in many disciplines from engineering to computer science, economics, biology etc. Vectors and matrices provide a useful framework for the storage and processing of information. The language of vectors and matrices is known as Linear Algebra in mathematics. This course aims to introduce the basic notions and concepts related to vectors and matrices and the operations that are performed on them which allows them to be applied to realworld problems. Application examples will also be discussed to demonstrate the importance of linear algebra in different fields such as engineering, computer science and economics. The essential goal of the course is thus to make the students comfortable with the language of matrices and vectors so that not only they are familiar with the important terms and notions related to vectors and matrices, but that they are also able to apply important operations on vectors and matrices to different type of problems including physical and realworld problems. 
Course Contents 
1. Linear equations in Linear Algebra – Systems of Linear Equations, Row Reduction and Echelon Forms, Vector and Matrix Equations, Solution Sets of Linear Systems, Applications of Linear, Linear Independence, Introduction to Linear Transformations 2. Matrix Algebra – Matrix inverse, Characterization of invertible matrices, Partitioned matrices, and Matrix factorization 3. Determinants– Properties of determinants, Cramer’s rule, and linear transformations 4. Vector Spaces– Vector spaces and subspaces, null space, linearly independent sets, Bases, and linear transformations 5. Eigenvalues and Eigenvectors Eigenvalues and eigenvectors, characteristic equation, diagonalization 6. Orthogonality and least squares – Inner product and orthogonality, Gram Schmidt process, Leastsquares Problems 7. Symmetric matrices and quadratic forms (if time permits) – Diagonalization of symmetric matrices, quadratic forms, singular value decomposition 
CLOs and PLOs  
Sr. No.  Course Learning Outcomes  PLOs  Blooms Taxonomy 
CLO1  Be able to solve systems of linear equations, perform important matrix algebra operations and demonstrate associated understanding.  PLO1 (Engineering Knowledge)  C3 (Application) 
CLO2  Be able to demonstrate understanding of vector spaces and solve problems related to vector spaces, including eigenspace and its associated parameters.  PLO1 (Engineering Knowledge)  C3 (Application) 
CLO3  Be able to demonstrate understanding of advanced linear algebra concepts, such as GramSchmidt, Singular Value Decomposition etc., and solve associated problems  PLO1 (Engineering Knowledge)  C3 (Application) 
CLO4  Analyze and solve applied engineering problem requiring tools from advanced linear algebra.  PLO 4 (Investigation)  C5 (Evaluating) 
CLO5  Efficiently work in a team to investigate and solve problems related to applied linear algebra.  PLO 9 (Individual and Teamwork)  A2 (Respond) 
Tentative CLOs Assessment Mechanism 

 
 CLO1  CLO2  CLO3  CLO4  CLO5 
Quizzes  12 Quiz  12 Quizzes  12 Quizzes 


Midterm Exam  1 Mid Qs.  1 Mid Qs.  1 Mid Qs.. 


Final Exam  12 Final Qs.  12 Final Qs.  12 Final Qs. 


Project 


 1 Project on a Complex Engineering Problem (CEP)  1 Project Report Section 
Grading policy  
Assessment items  Weightage 
5*Announced Quizzes  15% 
5*Assignments  10% 
Project on Complex Engineering Problem  10% 
Midterm exam  25% 
Final exam  40% 
Text and Reference Books 
Text book: · Linear Algebra and its Applications – David C. Lay, Steven R. Lay, Judi J. McDonald (6th Edition – Global Edition, 2022, Pearson, USA). Reference book: · Elementary Linear Algebra with Applications – Howard Anton, Chris Rorres (11th Edition 2013, Wiley, USA). · • Linear Algebra and Its Applications – Gilbert Strang (4th Edition 2005, USA). 
Administrative Instructions 
· Preparing for the announced quizzes (based on assignments) is the best way to do well in this course, as they will be interspersed throughout the semester, and you will have ample amount to prepare IF you plan nicely. Anyone who has done the assignments himself/herself is expected to do well in quizzes, midterm and final exam. · All the lectures as well as the assessments including, assignments, quizzes, midterm, and final exam) will be made from the book topics covered in the lectures. Hence, make sure that you read the book topics thoroughly and NOT rely ONLY on the slides, which are made only to assist in lecturing. · Quizzes/Assignments due dates will be announced well in advance. The dates will not be changed, hence make sure to plan your other commitments accordingly. · All course material (lecture slides, assignments, marks, announcements etc.) will be communicated to students via CMS portal. It is the responsibility of the students to regularly check the portal for important information and material. · Please do not make the class noisy. As 3^{rd} year students, it is expected of you to act maturely in the classes. You are allowed to go out of the class quietly if there is something urgent that needs your attention. · 80% attendance is mandatory to be allowed to sit in the final examination as per institute’s policy. No relaxations will be allowed 
ES212: (Digital) Logic Design Fall 2023 
PreRequisite: None Courses for which this course is a Prerequisite: Computer Architecture (ES213) Instructor: Dr. Asad Mahmood Email: asad.mahmood@giki.edu.pk Office: G9, FES Faculty Area Phone: 2285 Consultation hours: During office hours, or by appointment for long consultation 
Course Introduction 
We are passing through the era of ‘digital’ revolution. From small devices such as watches, calculators to more complex devices, like a microprocessor in a Personal Computer, all of these devices are based on digital data. These devices require representation of input and output data in a digital/binary format, and then processing (addition, multiplication etc.) of this data. The course of digital logic designs aims to provide an understanding of basic concepts related to digital data representation and processing. Concepts such as binary representation of numbers, basic operations (e.g. addition, multiplication etc.) on the binary numbers and fundamental building blocks of a digital system which are known as ‘logic gates’, will be introduced in the first half of this course. The latter half of the course will deal with the construction of more advanced devices such as counters, digital data storage devices etc. The concepts learned in this course will act as fundamentals for higher level courses in digital system design such as Computer Architecture (ES213) and Microprocessor Interfacing (ES314) 
Course Contents 
1. Introduction to the Analog and Digital System 2. Number System, Operations and Codes 3. Logic gates 4. Boolean Algebra and Logic Simplification 5. Analysis and Functions of Combinational Logic 6. Latches and FlipFlops 7. Shift Registers 8. Counters 9. Programmable Logic (if time permits) 
CLOs and PLOs  
Sr. No.  Course Learning Outcomes  PLOs  Blooms Taxonomy 
CLO1  Represent and process (e.g. add, multiply etc.) data in different data representation formats (e.g. binary, hexadecimal etc.) and perform interconversions between them.  PLO1 (Engineering Knowledge)  C3 (Application) 
CLO2  Analyze and design combinational logic circuits  PLO3 (Design/Development of Solutions)  C4 (Analyzing) 
CLO3  Analyze and design sequential logic circuits  PLO3 (Design/Development of Solutions)  C4 (Analyzing) 
CLO4  Communicate effectively via a written report on the design project given in logic design lab  PLO10 (Communication)  C4 (Analyzing) 
CLO5  Discuss the relevance of the logic design project with the concerned UN’s sustainable development goals (SDGs)  PLO 7 (Environment and Sustainability)  C2 (Understanding) 
Tentative CLOs Assessment Mechanism 

 
 CLO1  CLO2  CLO3  CLO4  CLO5 
Quizzes  12 Quiz  12 Quizzes  12 Quizzes 


Midterm Exam  1 Mid Qs.  1 Mid Qs.  . 


Final Exam 
 12 Final Qs.  24 Final Qs. 


Project 


 1 Project Report  1 Project Report Section 
Grading policy  
Assessment items  Weightage 
5*Announced Quizzes  15% 
5*Assignments  10% 
Lab Project Report  10% 
Midterm exam  25% 
Final exam  40% 
Text and Reference Books 
Text book: · Thomas L. Floyd, “Digital Fundamentals”, 11th Global Edition, 2015, Pearson Prentice Hall Reference book: · M. M. Mano, C. R. Kime and T. Martin, “Logic and Computer Design Fundamental”, 5^{th} Edition, 2015, Pearson Prentice Hall. 
Administrative Instructions 
· Preparing for the announced quizzes (based on assignments) is the best way to do well in this course, as they will be interspersed throughout the semester, and you will have ample amount to prepare IF you plan nicely. Most of the questions in the Quizzes, Midterm and Final examination will be made like those given in the assignments., and thus anyone who has done the assignments himself/herself is expected to do well in these assessments. · All the lectures as well as the assessments including, assignments, quizzes, midterm, and final exam) will be made from the book topics covered in the lectures. Hence, make sure that you read the book topics thoroughly and NOT rely ONLY on the slides, which are made only to assist in lecturing. · Quizzes/Assignments due dates will be announced well in advance. The dates will not be changed, hence make sure to plan your other commitments accordingly. · All course material (lecture slides, assignments, marks, announcements etc.) will be communicated to students via CMS portal. It is the responsibility of the students to regularly check the portal for important information and material. · Please do not make the class noisy. As 2^{nd} year students, it is expected of you to act maturely in the classes. You are allowed to go out of the class quietly if there is something urgent that needs your attention. · 80% attendance is mandatory to be allowed to sit in the final examination as per institute’s policy. No relaxations will be allowed 
Tentative Lectures Breakdown: 
· Week 1 Lectures Introduction to the course, introductory concepts and number system (Chapter 1) · Week 2 Lectures Binary arithmetic and binary codes (Chapter 2) · Week 3 Lectures Binary arithmetic and binary codes (Chapter 2) · Week 4 Lectures Logic Gates (Chapter 3) · Week 5 Lectures Boolean algebra and Boolean analysis of logic circuits (Chapter 4) · Week 6 lectures Boolean algebra and Boolean analysis of logic circuits (Chapter 4) Week 7 lectures Combinational Logic Circuits (Chapter 5) Week 8 lectures Functions of combinational logic (Chapter 6) 

ES232 Engineering Thermodynamics  
PreRequisite: Instructor: Misbah Shaheen Email: ges2302@giki.edu.pk Office: G 30 Office hours: 10:00 am to 12:30 pm  
Course Introduction  
An understanding of thermal physics is crucial to almost all modern physics (from astrophysics, atmospheric physics, laser physics, condensed matter physics and information theory) and to the important technological challenges which face us in this century.
It includes the fundamentals of classical thermodynamics (which was founded largely in the nineteenth century and motivated by a desire to understand the conversion of heat into work using engines) and also statistical mechanics (which was founded by Boltzmann and Gibbs, and is concerned with the statistical behaviour of the underlying microstates of the system); but the traditional focus of thermodynamics on steam engines seems remote and largely irrelevant to a twentyfirst century student.
This course provides an introduction to the key concepts in thermal physics, fleshed out with plenty of modern examples. The relevant mathematical principles, particularly concerning probability and statistics, will be introduced with in the first two weeks.  
Course Content  
· Mathematical preliminaries (Combinatorics and Probability) · Macrostates and microstates · Kinetic theory of gases (Maxwell Boltzmann distribution) · Zeroth and First Law of Thermodynamics · Second law of thermodynamics · Entropy · Maxwell relations · Introductory statistical mechanics  
Mapping of Class Learning Outcome (CLOs) to Program Learning Outcomes (PLOs)  
S. No  CLOS  PLOs  Bloom Taxonomy 
 During this course the students will… 


CLO1  Apply the ensemble approach to the kinetic theory of gases, finding the velocity and speed distributions and mean free path in the process.  PLO1  C3 (Applying) 
CLO2  Apply the laws of Thermodynamics to classical (i.e. non quantum mechanical) systems.  PLO1  C3 (Applying) 
CLO3  Use statistical methods to classical (i.e. nonquantum mechanical) systems.  PLO1  C3 (Applying) 
CLO4  Explore the contribution of thermodynamics to societal issues of historic or contemporary significance  PLO6  A2 (Responding) 
CLO5  Explore the contribution of thermodynamics to problems of wider philosophical significance  PLO12  A3 (Valuing) 
Grading Policy (Subject to change) 
Assessment Items  % Marks (Subject to the constraint of 100 marks)  
1.  Quizzes (Surprised +Announced)  20 %  
2.  MidTerm Exam  30%  
3.  Assignments  4%  
4.  Final Exams  40%  
5.  Viva/Group Discussions/Presentations  6% (For CLOs 3 and 4)  
Text and Reference Books  
Text book: – Blundell Stephen and Katherine M Blundell. 2010. Concepts in Thermal Physics. 2nd ed. Oxford: Oxford University Press.
Reference books: – Use the ‘Further Reading’ sections at the end of each chapter. – For a different approach towards Thermodynamics o Fundamentals of Thermodynamics by Claus Borhnakke and Richard E. Sonntag (7th Edition), 2008 o Thermodynamics: An Engineering Approach by Yunus A. Çengel and Boles (8^{th} Edition), 2014  
Administrative Instruction  
· Student Attendance is expected to be 100%, and minimum 80% (mandatory) attendance that is required to sit in the final exams · Student must pay attention for reading the text books chapter for course assessment rather than lecture slides · All the direct assessment tools i.e., Assignments, Quizzes, Midterms, and Final Exams must be attempted. Failure to attempt in any of the assessment tools without any medical reasons may results to fail in that particular assessment. · For any query please contact with me during office time or via email.  
Lecture Breakdown  
Lecture#1  Mathematical Preliminaries: Permutations and Combinations  
Lecture#2  Mathematical Preliminaries: Permutations and Combinations  
Lecture#3  Mathematical Preliminaries: Probability (Continuous and Discrete)  
Lecture#4  Mathematical Preliminaries: Probability (Mean and Variance)  
Lecture#5  Heat Capacity  
Lecture#6  Temperature and the Boltzmann factor: Thermal equilibrium  
Lecture#7  The microstates and macrostates  
Lecture#8  A statistical definition of temperature  
Lecture#9  The Maxwell–Boltzmann distribution  
Lecture#10  The velocity and speed distribution  
Lecture#11  mean free path, mean collision time, collision crosssection  
Lecture#12  Energy and the First Law of Thermodynamics  
Lecture#13  Energy and the First Law of Thermodynamics  
Lecture#14  Energy and the First Law of Thermodynamics  
Lecture#15  Isothermal and adiabatic processes, Reversibility  
Lecture#16  Isothermal and adiabatic expansion of an ideal gas  
Lecture#17  Heat engines and the second law 
Lecture#18  The second law of thermodynamics 
Lecture#19  The Carnot engine 
Lecture#20  Carnot’s theorem 
Lecture#21  Equivalence of Clausius’ and Kelvin’s statements 
Lecture#22  Examples of heat engines 
Lecture#23  Entropy, Irreversible change 
Lecture#24  The first law revisited, Joule expansion 
Lecture#25  The statistical basis for entropy 
Lecture#26  The entropy of mixing, thermodynamic potentials 
Lecture#27  Internal energy, U; Enthalpy, H; 
Lecture#28  Helmholtz function, F; Gibbs function, G 
Lecture#29  Constraints 
Lecture#31  Electric and magnetic dipoles 
Lecture#32  Paramagnetism 
Lecture#33  The third law 
Lecture#34  Different statements of the third law 
Lecture#34  Consequences of the third law 
Lecture#36  Equipartition of energy 
Lecture#37  Equipartition theorem 
Lecture#38  Applications 
Lecture#39  Assumptions made 
Lecture#40  Brownian motion 
Lecture#41  The partition function 
Lecture#42  Writing down the partition function 
Lecture#43  Obtaining the functions of state 
Lecture#44  Combining partition functions 
Lecture#45  Statistical mechanics of an ideal gas 
ES304: Linear Algebra II Fall 2023 
PreRequisite: MT201 Courses for which this course is a Prerequisite: n/a Instructor: Dr. Asad Mahmood Email: asad.mahmood@giki.edu.pk Office: G9, FES Faculty Area Phone: 2285 Consultation hours: During office hours, or by appointment for long consultation 
Course Introduction 
We are passing through the ‘information age’ in which information extraction and processing plays a vital role in many disciplines from engineering to computer science, economics, biology etc. Vectors and matrices provide a useful framework for the storage and processing of information. The language of vectors and matrices is known as Linear Algebra in mathematics. This course aims to introduce the basic notions and concepts related to vectors and matrices and the operations that are performed on them which allows them to be applied to realworld problems. Application examples will also be discussed to demonstrate the importance of linear algebra in different fields such as engineering, computer science and economics. 
Course Contents 
1. Linear equations in Linear Algebra – Review (Systems of Linear Equations, Row Reduction and Echelon Forms, Vector and Matrix Equations, Solution Sets of Linear Systems), Applications of Linear Systems, Linear Independence, Introduction to Linear Transformations 2. Matrix Algebra – Review (Matrix inverse), Characterization of invertible matrices, Partitioned matrices, and Matrix factorization 3. Determinants– Properties of determinants (Review) 4. Vector Spaces– Vector spaces and subspaces, null space, linearly independent sets, Bases, and linear transformations 5. Eigenvalues and Eigenvectors – Review (Eigenvalues and eigenvectors), characteristic equation, diagonalization 6. Orthogonality and least squares – Inner product and orthogonality, Gram Schmidt process, Leastsquares Problems 7. Symmetric matrices and quadratic forms (if time permits) – Diagonalization of symmetric matrices, quadratic forms, singular value decomposition 
CLOs and PLOs  
Sr. No.  Course Learning Outcomes  PLOs  Blooms Taxonomy 
CLO1  Be able to solve systems of linear equations, perform important matrix algebra operations and demonstrate associated understanding.  PLO1 (Engineering Knowledge)  C3 (Application) 
CLO2  Be able to demonstrate understanding of vector spaces and solve problems related to vector spaces, including eigenspace and its associated parameters.  PLO1 (Engineering Knowledge)  C3 (Application) 
CLO3  Be able to demonstrate understanding of advanced linear algebra concepts, such as GramSchmidt, LeastSquares, Singular Value Decomposition etc., and solve associated problems  PLO1 (Engineering Knowledge)  C3 (Application) 
CLO4  Analyze and solve applied engineering problem requiring tools from advanced linear algebra.  PLO 4 (Investigation)  C5 (Evaluating) 
CLO5  Efficiently work in a team to investigate and solve problems related to applied linear algebra.  PLO 9 (Individual and Teamwork)  A2 (Respond) 
Tentative CLOs Assessment Mechanism 

 
 CLO1  CLO2  CLO3  CLO4  CLO5 
Quizzes  23 Quizzes  2 Quizzes  12 Quizzes 


Midterm Exam  23 Mid Qs.  1 Mid Qs. 



Final Exam 
 12 Final Qs.  23 Final Qs. 


Project 


 1 Project on a Complex Engineering Problem (CEP)  1 Project Report Section 
Grading policy  
Assessment items  Weightage 
5*Announced Quizzes  15% 
5*Assignments  10% 
Project on Complex Engineering Problem +Teamwork  10% 
Midterm exam  25% 
Final exam  40% 
Text and Reference Books 
Text book: · Linear Algebra and its Applications – David C. Lay, Steven R. Lay, Judi J. McDonald (6th Edition – Global Edition, 2022, Pearson, USA). Reference book: · Elementary Linear Algebra with Applications – Howard Anton, Chris Rorres (11th Edition 2013, Wiley, USA). · • Linear Algebra and Its Applications – Gilbert Strang (4th Edition 2005, USA). 
Administrative Instructions 
· Preparing for the announced quizzes (based on assignments) is the best way to do well in this course, as they will be interspersed throughout the semester, and you will have ample amount to prepare IF you plan nicely. Anyone who has done the assignments himself/herself is expected to do well in quizzes, midterm and final exam. · All the lectures as well as the assessments including, assignments, quizzes, midterm, and final exam) will be made from the book topics covered in the lectures. Hence, make sure that you read the book topics thoroughly and NOT rely ONLY on the slides, which are made only to assist in lecturing. · Quizzes/Assignments due dates will be announced well in advance. The dates will not be changed, hence make sure to plan your other commitments accordingly. · All course material (lecture slides, assignments, marks, announcements etc.) will be communicated to students via CMS portal. It is the responsibility of the students to regularly check the portal for important information and material. · Please do not make the class noisy. As 3^{rd} year students, it is expected of you to act maturely in the classes. You are allowed to go out of the class quietly if there is something urgent that needs your attention. · 80% attendance is mandatory to be allowed to sit in the final examination as per institute’s policy. No relaxations will be allowed 
Tentative Lectures Breakdown: 
· Week 1 Lectures Linear equations in Linear Algebra (Chapter 1) · Week 2 Lectures Linear equations in Linear Algebra (Chapter 1) · Week 3 Lectures Matrix Algebra (Chapter 2) · Week 4 Lectures Matrix Algebra (Chapter 2) · Week 5 Lectures Vector Spaces (Chapter 4) · Week 6 lectures Vector Spaces (Chapter 4) · Week 7 lectures Vector Spaces (Chapter 4) · Week 8 lectures Eigenvalues and Eigenvectors (Chapter 5)
MIDTERM

Syllabus/Course Outline Computer Simulation Methods (ES 445) Fall Semester 2023 
PreRequisite(s): ES 202, ES 342 Instructor: Shahid Ahmad Office: Room G8, FES Phone: 2220 Email: Shahid.Ahmad@giki.edu.pk
Office Hours: Posted outside office door of course instructor. Also by appointment. 
Course Introduction 
This course is a required course for all students specializing in “Modeling and Simulation”, one of emerging stream offered by the Faculty of Engineering Sciences. The main purpose of the course is to make students proficient in techniques and skills of executing the theoretical physical models on a computer and analyzing the execution output. Constructing models of a given physical situation appropriate for computer simulation is a part of the course. There is an emphasis on providing mathematical skills with a working knowledge and understanding of basic concepts involved. This course covers both “DiscreteEvent” and “Continuous System” simulation at introductory level, preparing students for advanced studies in these fields. It is hoped that, on completion of this course, the students will be trained enough to apply simulation technique for analyzing concrete physical situations and making correct decisions based on simulated results. 
Course Contents 
· Introduction to Simulations: Simulation and modeling; Types of Simulation; Uses of Simulations. · Simulation of Stochastic Systems: Review of basic probability; Standard probability distributions; Random variates and their uses in discrete event simulation. · DiscreteEvent System Simulations: Basic concepts; Simulation of random numbers and random variates; Simulation of problems of discrete nature; Analysis of output data. · Simulation of Queuing Systems and Inventory Systems: Queuing systems and their simulation; M/M/1 and M/M/2 systems; Newsvendor’s problem and simulation of basic inventory systems. · Continuous System Simulations: Simulation Schemes; Typical inputs; Simulation of basic electrical and mechanical systems; Transfer function and their simulation; Simulation of combination of system; Implicit function generation. 
Text and Reference Books 
Textbooks: · DiscreteEvent System Simulation by Jerry Banks et al. 5th Edition 2009, Pearson USA. · Continuous System Simulation by David MurraySmith. 1st Edition 2013, Springer USA. Reference Books: · DiscreteEvent Simulation: A First Course by Lawrence M. Leemis et al. 1st Edition 2006, Pearson USA. · Continuous System Simulation, by François E. Cellier. 1st Edition 2006, Springer USA. · Simulation by Sheldon M. Ross, 5th Edition 2012, Academic Press USA) 
Mapping of CLOs to PLOs  
Sr. No  Course Learning Outcomes  PLOs  Bloom’s Taxonomy Level  
 After completing the course, the student will be able to 

 
CLO1  Use Simulation Methodology to analyze different engineering systems.  PLO2  C3 (Applying)  
CLO2  Perform DiscreteEvent Simulation and evaluate output data for optimal decision making.  PLO3  C3 (Applying)  
CLO3  Create Continuous System Simulation Schemes and use them for optimal analysis and design of engineering systems. 
PLO3 
C3 (Applying)  
CLO4  Investigate real world problems employing computer simulation methods and suggest improvements. 
PLO4 
C5 (Evaluate)  
CLO5  Formally present the results of an investigation related to a simulation problem/method  PLO10  A3  
Direct Assessment Tools for CLOs  
CLOs  Assessment Tools  
CLO1  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
CLO2  Quizzes, Assignments, Midterm Exam, Final Exam  
CLO3  Quizzes, Assignments, Midterm Exam, Final Exam  
CLO4  Quizzes, Assignments, Midterm Exam, Final Exam  
CLO5  CEP Report and Presentation  
Overall Grading Policy  
Assessment Items  Percentage  
Announced Quizzes  20%  
Assignments, CEP  10%  
Midterm Exam  30%  
Final Exam  40%  
Administrative Instructions  
· According to institute policy, 80% attendance is mandatory to appear in the final examination. · All quizzes/examinations will be closed book. · There will be no retake of scheduled/surprise quizzes. · Students may work on home assignments in collaboration with each other, but they must submit their own work; no copying from others. Violation of this will adversely affect their quiz/exam results.  
Computer Usage  
This is a computer intensive course. Students are expected to have knowledge of basic computer programming techniques. They must be proficient in using the available software such as EXCEL, SIMULINK, and MATLAB.  
Lecture Breakdown  
Lecture  Topic  
01  Introduction to Computer Simulations.  
02  Simulation and Modeling.  
03  Types of Simulation. Uses of Simulations.  
04  DiscreteEvent Simulations, Introduction. 
05  Revision of Probability Theory. 
06  Discrete Probability Distributions. 
07  Continuous Probability Distributions. 
08  Mean and Variance of Probability Distributions. 
09  Generation of Random Numbers. 
10  Generation of Random Variates I. 
11  Generation of Random Variates II. 
12  Generation of Random Variates III. 
13  Discrete Event Simulation using Random Variates. 
14  Monte Carlo Method. 
15  Analysis of Output Data. 
16  Variance Reduction Techniques. 
17  Verification and Validation of Simulation Models I. 
18  Verification and Validation of Simulation Models II. 
19  Comparison of Alternate Designs. 
20  Simulation Software. 
21  Stochastic Models. 
22  Queuing Models. 
23  M/M/1 and M/M/k Models. 
24  Simulation of Basic Queuing Models. 
25  Inventory Models. 
26  News Vendor Models. 
27  Basic Financial Analysis. 
28  Summing Up Discrete Event Simulations. 
29  Continuous System Simulations. 
30  Types of Systems. Open and Closed Systems. 
31  Feedback in a Closed System. 
32  Basic Simulation Terminology used in Continuous System Simulations. 
33  Simulation Schemes. 
34  Typical Inputs and Outputs. 
35  Simulation of Basic Electrical Systems. 
36  Simulation of Basic Mechanical Systems. 
37  Implicit Function Generation Technique. 
38  Transfer Functions. 
39  Transfer Functions in Nested Form. 
40  Transfer Functions in Partition Form. 
41  Transfer Functions in Factored Form. 
42  Simulation of System of ODEs. 
43  Combining Simulation Blocks. 
44  Simulation of Combination of Systems. 
45  Summary and Review. 
Note: This outline and lecture distribution serves only as rough guidance of the course. It may be changed or modified as and when deemed necessary by the instructor. The instructor is at liberty to best distribute the number of lectures and/or change the sequence of topics to cover the entire course.
ES462 Semiconductor Materials and Devices (3 Credit Hours) – Fall 2023  
PreRequisite: Electricity and Magnetism (PH102) Instructor: Engr. Dr. Muhammad Usman Office # G1 FES, GIK Institute, Email: m.usman@giki.edu.pk Office Hours: 2.30 pm – 4.00 pm.  
Course Introduction  
This course is organized to bring students with a background in freshmen physics to a level of understanding which will allow them to understand basics of semiconductor materials and devices.  
Course Contents  
From Prospectus (20142021) Semiconductors and their preparation for engineering use, crystal structure, mobility, and electrical conductivity, measuring electrical conductivity, measuring electrical parameters of semiconductors, energy bands in solids, homogeneous semiconductor in thermodynamic equilibrium, amorphous semiconductors, the pn junction, semiconductors in optoelectronics, the photovoltaic effect, semiconductor devices, superconducting devices, power semiconductor devices and devices of the future.  
Mapping of CLOs & PLOs  
 
 By the end of the course, the student will be able to:  
 CLOs  Course Learning Outcomes  PLOs  Taxonomy  
 CLO1  Analyze the parameters (e.g., physical, electrical, thermal, etc.) properties associated with the semiconductor materials.  PLO2 (Problem Analysis)  Cognitive Level4 (Analyzing)  
 CLO2  Analyze the properties (e.g., physical, electrical, thermal, etc.) associated with the semiconductor devices.  PLO2 (Problem Analysis)  Cognitive Level4 (Analyzing)  
 CLO3  Construct semiconductor material characteristics (electronic, thermal, physical etc.) and/or design semiconductor devices using modern engineering tools.  PLO5 (Modern Tool Usage)  Cognitive Level6 (Creating)  
 CLO4  Review the impact of semiconductor materials and devices on humans and environment.  PLO7 (Environment and Sustainability)  Cognitive Level2 (Understanding)  
 CLO5  Communicate the results of the application and analysis of the material/electronic/physical properties of semiconductor materials and/or devices.  PLO10 (Communication)  Affective Domain Level2 (Responding)  
CLOs Direct Assessment Mechanism  
 
 CLO #  Assessment Tools 
 
CLO1  Assignments, Quizzes, Midterm Exam, Final Exam  
CLO2  Assignments, Quizzes, Midterm Exam, Final Exam  
CLO3  Assignments, Complex Engineering Problem (Project)  
CLO4  Assignments, Mid, Final  
CLO5  Complex Engineering Problem (Project)  
Overall Grading Policy  
 
 Assessment Tools  Percentage 
 
Quizzes (Surprise + Scheduled) + Viva  15%  
Assignments  5%  
Midterm Examination  30%  
Course Project (Complex Engineering Problem)  10%  
Final Examination  40%  
Text and Reference Books 
Textbook: 1. Solid State Electronic Devices, 7th Edition, by Ben G. Streetman and Sanjay Kumar, Prentice Hall (2018) 2. Semiconductor Physics and Devices (Basic Principles), 4th Edition, by Donald A. Naemen (2011) 
Administrative Instructions + Online Teaching SOPs 
▪ According to institute policy, 80% attendance is mandatory to appear in the final examination. ▪ Assignments must be submitted as per instructions mentioned in the assignments. ▪ Student must pay the attention for reading the textbooks chapter for course assessment rather than lecture slides ▪ In any case, there will be no retake of (scheduled/surprise) quizzes. ▪ For queries, kindly follow the office hours to avoid any inconvenience. Online Teaching Related Instructions ● During mandatory closure of HEIs, course will be shifted to online mode using MS Teams, where lectures are given in synchronous mode according to announced schedule. ● Lectures are also recorded for later viewing in case any students have connectivity issues. ● Quizzes and assignments are administered through the MS Teams assignment system. 
Supporting Tools for Course Delivery 
MS Teams, Turnitin, Nanohub.org Virtual Tool, COMSOL 
Lecture Breakdown  
 
 Week 1  · Introduction to Semiconductor Materials: · Basic concepts, Types of Semiconductor Effects of temperature on Semiconductor 

 Week 2  · Introduction to Crystallography: · Crystal lattices, Periodic structure, Cubic lattices and its types, Planes and directions, Atomic Packing Factor  
 Week 3  · Discussion on the Growth Techniques: · Growth from the melt (Czochralski Method) and Bridgeman technique · Liquid phase epitaxy (LPE), Vapor phase epitaxy (VPE) and Molecular beam epitaxy  
 Week 4  · Computational Analysis of Semiconductor Properties on Semiconductor · FermiDiract Probability Function, Energy Bands and Charge Carriers in Semiconductors, Carrier Recombination · Effective mass and the concept of a hole, and the density of state in energy bands  
 Week 5  · Homogeneous Semiconductors in Thermodynamic Equilibrium · Intrinsic and extrinsic concentration, Position of intrinsic and extrinsic fermi levels, Compensated semiconductor and Degenerate and nondegenerate Semiconductors  
 Week 6  · Mobility and Electrical Conductivity in Metals and Semiconductors: · Drift and Diffusion Phenomena, scattering mechanism, average drift velocity, mobility and conductivity, Mobility by the Hall effect · HaynesShockley experiment, diffusion constant and the lifetime of minority carriers  
 Week 7  · Introduction to semiconductor devices · pn Junctions, Formation of a PN Junction  
 Week 8  · PN Junction Diodes, Bias of PN Junctions · Diode Equation, Diode Equations for PV, Ideal Diode Equation  
 Week 9  · BJTs, MOSFETs  
 Week 10  · Thermogenerator  
 Week 11  · Semiconductors in optoelectronics · Generation, Absorption of Light, Absorption Coefficient, Absorption Depth, Generation Rate · Solar Cells and its characteristics  
 Week 12  · Lightemitting diodes and its characteristics · Laser diodes and its characteristics  
 Week 13  · Photodiodes and its characteristics · Generation LifetimeRecombination Lifetime  
 Week 14  · Power semiconductor devices  
 Week 15  · Miscellaneous  
The above outlines serve only as a rough guideline of the course contents and may be changed as and when deemed necessary by the instructor. The instructor is at a liberty to best distribute number of lectures to cover the entire course 
ES472 Lasers Engineering and Applications (3 Credit Hours) – Fall 2023  
PreRequisite: ES376 Optical Engineering Instructor: Engr. Dr. Muhammad Usman Office # G1 FES, GIK Institute, Email: m.usman@giki.edu.pk Office Hours: 2.30 pm – 4.00 pm.  
Course Introduction  
 The word LASER is an acronym for “Light Amplification by Stimulated Emission of Radiation “. The resulting light is highly monochromatic, intense, coherent, directional than other light sources such as incandescent lamps, fluorescence tubes, etc. Since its discovery, this special light has found a lot of applications. The course introduces students to the background and theory of lasers. It also covers the applications of lasers in various fields such as medicine, military, communication, and scientific investigations, etc.. 
 
Course Contents  
• Introduction to the Laser • Laser Theory • Laser Beam Properties • Types of Lasers • Laser Applications: • Metrological Applications • Interferometry · Material Processing Lasers • Environmental Monitoring • Medical Applications etc.  
Mapping of CLOs & PLOs  
 
 By the end of the course, the student will be able to:  
 CLOs  Course Learning Outcomes  PLOs  Taxonomy  
 CLO1  Solve the problems related to lasing mechanism.  PLO1 (Engineering Knowledge)  Cognitive Level3 (Application)  
 CLO2  Analyze various types of lasers and related mechanisms.  PLO2 (Problem Analysis)  Cognitive Level4 (Analyzing)  
 CLO3  Construct laser characteristics (electronic, thermal, physical etc.) and/or design laser for various applications.  PLO3 (Design/Development of Solutions)  Cognitive Level6 (Creating)  
 CLO4  Describe an engineering application of lasers which can be useful for the society.  PLO6 (Engineer and Society)  Cognitive Level2 (Understanding)  
 CLO5  Communicate the results of an investigation/project related to laser applications.  PLO10 (Communication)  Affective Domain Level2 (Responding)  
CLOs Direct Assessment Mechanism  
 
 CLO #  Assessment Tools 
 
CLO1  Assignments, Quizzes, Midterm Exam, Final Exam  
CLO2  Assignments, Quizzes, Midterm Exam, Final Exam  
CLO3  Assignments, Complex Engineering Problem (Project)  
CLO4  Assignments, Mid, Final  
CLO5  Complex Engineering Problem (Project)  
Overall Grading Policy  
 
 Assessment Tools  Percentage 

Quizzes  15%  
Assignments  5%  
Midterm Examination  30%  
Course Project (Complex Engineering Problem)  10%  
Final Examination  40% 
Text and Reference Books 
Textbook: 1. Elijah KannateyAsibu Jr., “Principles of Laser Materials Processing” (Second Edition) (2023) Reference books: 1. Eugene Hecht, A. R. Ganesan, “Optics” 5th Edition. (Global Edition) (2017) 2. William T. Silfvast, “Laser Fundamentals” (Second Edition) (2004) 3. Richard S. Quimby, “Photonics and LasersAn Introduction” (2006) 4. Ronald G. Driggers, “Encyclopedia of Optical Engineering” (2003) 5. Allen Nussbaum, Richard A. Phillips, “Contemporary Optics for Scientists and Engineers” (1976) 
Administrative Instructions + Online Teaching SOPs 
▪ According to institute policy, 80% attendance is mandatory to appear in the final examination. ▪ Assignments must be submitted as per instructions mentioned in the assignments. ▪ Students must pay attention to reading the textbooks chapter for course assessment rather than lecture slides. ▪ In any case, there will be no retake of (scheduled/surprise) quizzes. ▪ For queries, kindly follow the office hours to avoid any inconvenience. Online Teaching Related Instructions ● During mandatory closure of HEIs, course will be shifted to online mode using MS Teams, where lectures are given in synchronous mode according to announced schedule. ● Lectures are also recorded for later viewing in case any students have connectivity issues. ● Quizzes and assignments are administered through the MS Teams assignment system. 
Supporting Tools for Course Delivery 
MS Teams, Turnitin, Nanohub.org Virtual Tools, SiLENSe^{TM} 
Lecture Breakdown  
 
 Week 1  · Introduction · Lasing mechanism · Population Inversion 

 Week 2  · Rate Equation · Spontaneous And Stimulated Raman Effect  
 Week 3  · Optical Absorption · Threshold gain · Two Photon Absorption  
 Week 4  · Laser Cavity · Laser modes · Mode Selection  
 Week 5  · Laser PumpingOptical Arc · Pumping Efficiency  
 Week 6  · Three Level System · FourLevel System  
 Week 7  · Blackbody Radiation · Kirchhoff”s Radiation Law · StefanBoltzmann Law · Wien Displacement Law  
 Week 8  · Line Broadening · ContinuousPulsed beams  
 Week 9  · Beam Characteristics – Intensity and Brightness – Frequency Stabilization Beam Size – Focusing · Beam Expanders – Beam Splitters – Beam Delivery 
 Week 10  · ContinuousPulsed beams · QSwitching · Mode Locking 

 Week 11  Classification of Lasers · HeNe Lasers · Ion Laser · HeCd laser  
 Week 12  Classification of Lasers (Contd..) · Ruby Lasers · Nd:YAG Lasers · CO_{2} Lasers  
 Week 13  Classification of Lasers (Contd..) · Dye Lasers · Semiconductor Lasers/Laser Diodes · Excimer Laser  
 Week 14  Applications of lasers · Laser Material Processing (e.g., Cutting & Welding) · Laser Eye Surgery · Laser Fusion · Laser Cooling · Laser Medicine etc.  
 Week 15  Applications of lasers (Contd..) · Modern Topics of Interest  
The above outlines serve only as a rough guideline of the course contents and may be changed as and when deemed necessary by the instructor. The instructor is at a liberty to best distribute number of lectures to cover the entire course 
ES 213 Computer Architecture Spring 2023  
PreRequisite: CS101, ES212 Instructor: Syed Sibtul Hassan Sherazi Email: sibtul.hassan@giki.edu.pk Office G66 FES Building Office hours: After the lunch or via appointment
Website: https://giki.edu.pk/personnel/engrsyedsibtulhassansherazi/  
Course Introduction  
This course provides a thorough introduction to internal architecture and working of microprocessors. The use of microprocessors in digital systems and their working in conjunction with memory devices, interrupt controllers and other input/output devices are studied. Circuits for address decoding and memory mapping are described. The assembly language programming includes learning the instruction set, addressing modes, interrupts and other programming functions.  
Course Content  
Computer Evolution and Performance, Designing for Performance, Embedded Systems, A TopLevel View of Computer Function and Interconnection, Cache Memory ,Internal Memory Technology, External Memory ,Input/Output, Computer Arithmetic, Instruction Sets: Characteristics and Functions, Instructions Sets: Addressing Modes and Formats, Processor Structure and Function, Instruction Level Parallelism and Superscalar Processors, Control Unit Operations  
Mapping of Class Learning Outcome (CLOs) to Program Learning Outcomes (PLOs)  
S. No  CLOS  PLOs  Bloom Taxonomy 
CLO1  Compare and explain basic computer architecture and its fundamentals  PLO1 (Engineering Knowledge)  C3 (Applying) 
CLO2  Evaluate performance of processors and memory using accessing methods and benchmarking techniques  PLO2 (Problem Analysis)  C3 (Applying)  
CLO3  Ability to examine different Input – output communication and storage elements of the computer  PLO2 (Problem Analysis)  C3 (Applying)  
CLO4  Discuss and report code of ethics in computing instantiated by regulatory bodies like IEEE/SPIE/PEC  PLO8 (Ethics)  C2 (Understanding)  
CLO5  Attend seminars on techniques used to improve the performance and cost effectiveness of embedded systems  PLO12 (Lifelong Learning)  C2 (Understanding)  
Grading Policy  
Assessment Items  % Marks  
1.  Quizzes  20%  
2.  Assignment  5%  
3.  MidTerm Exam  25%  
4.  Course Project/Report  5%  
5.  Final Exams  45%  
Text and Reference Books  
Text Book:
Computer Organization and Architecture (William Stallings 2010)
Reference Book:
Logic and Computer Design Fundamentals by Morris Mano, Charles R. Kime and Mom Martin  
Administrative Instruction  
· Student Attendance is expected to be 100%, and minimum 80% (mandatory) attendance that is required to sit in the final exams · All the direct assessment tools i.e., Quizzes, Assignment, Midterms and Final Exams must be attempted. Failure to attempt in any of the assessment tools without any medical reasons may results to fail in that particular assessment. · For any query, please contact me  
Lecture Breakdown  
Week#1  Introduction, Organization and Architecture, Structure and Function 
Week#2  Computer Evolution and Performance, Designing for Performance, Embedded Systems 
Week#3  A TopLevel View of Computer Function and Interconnection · Computer Components · Interconnection Structures · Bus Interconnection · PCI 
Week#4  Cache Memory
· Principles · Elements of Cache Design · Intel, ARM Cache Organization 
Week#5  Internal Memory Technology
· Semiconductor Main Memory · Error Connection · Advanced DRAM Organization 
Week#6  External Memory
· Magnetic Disk, RAID, Optical Memory 
Week#7  Input/Output
· External Devices · I/O Modules, Programmed I/O, InterruptDriven I/O · Direct Memory Access 
Week#8  Operating System Support
· Scheduling · Memory Management · Pentium/ARM Memory Management 
Mid Exam break – One week  
Week#9  Computer Arithmetic
· ALU, Integer Representation · Integer Arithmetic, FloatingPoint Representation 
Week#10  Instruction Sets: Characteristics and Functions
· Machine Instruction Characteristics · Types of Operands and Operations 
Week#11  Instructions Sets: Addressing Modes and Formats
· Addressing · Instruction Formats · Assembly Language 
Week#12  Processor Structure and Function
· Processor, Register Organization · Instruction Cycle, Pipelining 
Week#13  Reduction Instruction Set Computers
· Instruction Execution Characteristics, Use of a Large Register File · Compiler Based Register Optimization · RISC Architecture, Pipelining 
Week#14  Instruction Level Parallelism and Superscalar Processors
· Design Issues · ARM CortexA8 
Week#15  Control Unit Operations
· Microoperations · Controls of the Processor · Hardwired Implementation 
Syllabus/Course Outline Optimization Modeling (ES 344) Spring Semester 2023 
PreRequisite(s): ES 202 – Engineering Statistics and ES 342 – Modeling Processes Instructor: Engr. Shahid Ahmad Office: Room G8, FES Phone: 2220 Email: Shahid.Ahmad@giki.edu.pk
Office Hours: Posted outside office door of course instructor. Also, by appointment. 
Course Introduction 
This course is a second course in “Modeling and Optimization” of different phenomena that occur in science and engineering. It is continuation of the first course in this stream, that is Modeling Processes, and its focus is on Graphical Models and Stochastic Models. It is a required course for students specializing in “Modeling and Simulation”, one of emerging stream offered by the Faculty of Engineering Sciences. The main purpose of the course is to make students proficient in modern techniques of mathematical modeling and solving optimization problems encountered in real situations. Different quantitative techniques developed to find optimal solutions of problems of practical nature in Engineering Management are discussed in detail. Students are expected to have good background of linear algebra and probability theory for this course. On completion of this course, the students will be trained enough to appreciate the power of these techniques and apply these mathematical tools to solve similar problems in other areas. 
Course Contents 
· Transportation and Assignment Problems: Balanced and unbalanced transport problems, LP and network formulation, solution algorithm, assignment problem as LP and transport problem, degeneracy in assignment problem, Hungarian algorithm, interpretation of solutions. · Integer Linear Programming: Various examples requiring modeled as Integer Linear Programming, ZeroOne Linear Programming, model formulation techniques. · Network Models: Problems requiring network models, basic terminology of graph theory, spanning trees, minimum cost, and maximum flow problems, solution algorithms. · Project Management: PERT and CPM, forward pass and backward pass, critical path, uncertain activity durations, scheduling and controlling project costs. · Inventory Models: Deterministic and stochastic inventory problems, EOQ model and its ramifications, newsvendor’s problem and simple stochastic inventory models. · Queueing Models: Queueing models and basic terminology, Poisson process, distribution of interarrival and service times, simple M/M/K systems. 
Administrative Instructions 
· According to institute policy, 80% attendance is mandatory to appear in the final examination. · Assignments must be submitted as per instructions given for each assignment. · In any case, there will be no retake of (scheduled/surprise) quizzes. 
Text and Reference Books  
Textbook: · Introduction to Operations Research by Frederick S. Hillier and Gerald J. Lieberman (10th Edition, McGrawHill Education USA, 2015). Reference Books: · Operations Research: Applications and Algorithms by Wayne L. Winston , (4th Edition, Duxbury Press USA, 2003). · Operations Research: An Introduction by Hamdy A. Taha (10th Edition, Pearson USA, 2016). · Handouts/Reading Material  
Grading Policy (Subject to Change at the Discretion of Instructor)  
Assessment Items  Percentage  
Announced Quizzes  20%  
Midterm Exam  30%  
Final Exam  40%  
Project/CEP/Reports  10%  
Mapping of CLOs to PLOs  
Sr. No  Course Learning Outcomes  PLOs  Bloom’s Taxonomy  
 After completion of this course the student will be able to: 
 
CLO1  Formulate a given problem in terms of linear, non linear, network and stochastic models.  PLO2 (Problem Analysis)  Cognitive Level3 (Applying)  
CLO2  Solve different mathematical models to reach optimal solutions and interpret them.  PLO3 (Design/Development of Solutions)  Cognitive Level4 (Analyzing)  
CLO3  Investigate applied realworld problems by employing optimization and modeling techniques and suggest improvements.  PLO4 (Investigation)  Cognitive Level5 (Evaluating)  
CLO4  Formally present the results of an investigation related to a real problem/method.  PLO10 (Communication)  Affective Level2 (Responding to Phenomena)  
CLO5  Attend three engineering, science, and technology related seminars/talks (physical, online, recorded) and critically analyze their strong and weak points.  PLO12 (Lifelong Learning) 
Affective Level3 (Valuing)  
Direct Assessment Tools for CLOs  
CLOs  Assessment Tools  
CLO1  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
CLO2  Quizzes, Assignments, Midterm Exam, Final Exam  
CLO3  Assignments, Final Exam, CEP  
CLO4  Project (CEP) Report, Class Presentation  
CLO5  Report  
Computer Usage  
Students are encouraged to solve some assigned homework problems using the available software of Operations Research. All reports must be typed and submitted either in Word or PDF Format. Soft copies of reports must also be provided.  
Lecture Breakdown 
Lecture 1: Brief review of Linear Programming and Simplex algorithm Lecture 2: Transportation problem and its formulation Lecture 3: Transportation algorithm Lecture 4: Transportation algorithm continued Lecture 5: Examples on using transportation algorithm Lecture 6: Special cases for transportation algorithm Lecture 7: Transshipment problem and its solution Lecture 8: Assignment problem and assignment models Lecture 9: Hungarian algorithm for solution of assignment problems Lecture 10:Special cases and variants of assignment models Lecture 11:Examples of Integer Linear Programming Lecture 12:Network models, basic terminology of graph theory Lecture 13:Spanning trees and related problems Lecture 14:Shortest distance in a network and solution algorithms Lecture 15:Maximum flow problem in a networks and solution algorithms Lecture 16:More examples of network models Lecture 17:Project management, PERT and CPM network Lecture 18:PERT and CPM network calculations, forward and reverse pass Lecture 19:Critical path and project duration Lecture 20:Uncertain activity durations and related calculations Lecture 21:Time and cost tradeoffs, crashing a project Lecture 22:Linear Programming in Project Management Lecture 23:Description of inventory problem Lecture 24:Basic EOQ formula for deterministic inventory model Lecture 25:Generalising EOQ procedure for more deterministic models Lecture 26:Production schedule as an inventory model Lecture 27:Probabilistic inventory models, review of basic probability Lecture 28:Simple newsvendor problem and its solution Lecture 29:Generalisation of newsvendor problem to other probabilistic inventory models Lecture 30:Other examples of probabilistic inventory models Lecture 31:Summing up inventory models Lecture 32:Queueing models and their terminology Lecture 33:Types and classification of queueing models Lecture 34:Poisson process Lecture 35:Simple birth and death processes Lecture 36:Simple M/M/1 queus Lecture 37:Arrival process and service process Lecture 38:Interarrival and service times, relationship with Poisson Process Lecture 39:Calculation of various performance measures Lecture 40:M/M/K parallel systems Lecture 41:Performance measures of M/M/K parallel systems Lecture 42:Summing up quueueing systems Lecture 43:Review and problem session Lecture 44:CEP Presentations Lecture 45:CEP Presentations 
Note: This outline serves only as a rough guidance of the course. It may be changed or modified as and when deemed necessary by the instructor. The instructor is at liberty to best distribute number of lectures and/or change the sequence of topics to cover the entire course.
ES446 Heat Transfer and Modelling (3 Credit Hours) – Spring 2023 (3 CH)  
PreRequisite: MT201 Instructor: Engineer Syed Sibtul Hassan Sherazi Office # G66 FES, GIK Institute, Email: sibtul.hassan@giki.edu.pk Office Hours: 2.30 pm – 4.00 pm or via appointment  
Course Introduction  
This course is organized to apprise students about heat and mass transfer mechanisms and after the basic understanding of these mechanisms, they will be able to model and analyze such mechanisms not only using the mathematical equations, but also using mechanical tools and softwares. In addition to it, students will explore the innovative ways , applications of these mechanisms and at the end of course, will explore the research fields and methods in heat and mass transfer.  
Course Contents  
● Introduction and basic concepts of heat and mass transfer mechanism and their physics. ● Modeling and simulation of heat and mass transfer mechanisms using the modern tools. ● Analysis of heat and mass transfer mechanisms using mathematical models and equations. ● Impacts and applications of heat and mass transfer mechanisms on humans and environment. ● Recent trends and innovations in the heat and mass transfer mechanisms  
Mapping of CLOs & PLOs  
 
 By the end of the course, the student will be able to:  
 CLOs  Course Learning Outcomes  PLOs  Blooms Taxonomy  
 CLO1  Be able to analyze and model heat and mass transfer mechanisms using mathematical models and equations.  PLO2 (Problem Analysis)  Cognitive Level4 (Analysis)  
 CLO2  Be able to comprehend the heat transfer mechanisms and their applications.  PLO1 (Engineering Knowledge)  Cognitive Level2 (Comprehension)  
 CLO3  Be able to study, model and analyze heat and mass transfer mechanism using modern engineering tools and softwares.  PLO5 (Modern Tool Usage)  Cognitive Level5 (Synthesis)  
 CLO4  Be able to comprehend the impacts of heat and mass transfer mechanism impacts on humans and society  PLO7 (Environment and Sustainability)  Cognitive Level2 (Comprehension)  
 CLO5  Attend three seminars/talks (physical, online, recorded) related to fundamentals and applications of heat and mass transfer mechanisms.  PLO12 (Lifelong Learning)  Affective Level4 (Valuing)  
CLOs Direct Assessment Mechanism  
 
 CLO #  Assessment Tools 
 
 CLO1  Quizzes, Assignments, Midterm Exam, Final Exam  
 CLO2  Quizzes, Assignments, Midterm Exam, Final Exam  
 CLO3  Project, Viva, Presentation, Midterm Exam, Assignments  
 CLO4  Report + Viva + Presentation, Final Exam  
 CLO5  Assignments, Midterm Exam, Final Exam  
Overall Grading Policy  
 
 Assessment Tools  Percentage 

 Quizzes (Surprise + Scheduled) + Viva  15%  
 Assignments + Viva  5%  
 Midterm Examination  15%  
 Course Project (Complex Engineering Problem)  15%  
 Research Report+ Viva+Presentation  5%  
 Lifelong learning Problems  5%  
 Final Examination  40%  
Text and Reference Books  
Besides the handouts given in class, following reference materials shall be used: Textbook: 1. Heat and Mass Transfer: Fundamentals and Applications, Yunus A. Çengel, 6^{th} Edition, 2020 Reference Books: 1. Fundamentals of momentum, heat and mass transfer, James R. Welty, 6th Edition, 2014 2. Fundamentals of Heat and Mass Transfer, Theodore L. Bergman,7^{th} Edition, 2011 3. Multiphysics Modeling Using COMSOL: A First Principles Approach, Roger W. Pryor, 2009 
Administrative Instructions + Online Teaching SOPs 
▪ According to institute policy, 80% attendance is mandatory to appear in the final examination. ▪ In any case, there will be no retake of (scheduled/surprise) quizzes. ▪ For queries, kindly follow the office hours to avoid any inconvenience. Online Teaching Related Instructions
● During mandatory closure of HEIs, course are shifted to MS Teams, where lectures are given in synchronous mode according to announced schedule. ● Lectures are also recorded for later viewing in case any students have connectivity issues. ● Quizzes and assignments are administered through the MS Teams assignment system. ● In order to discourage use of unfair means in quizzes, viva option has been added. 
Computer Usage 
Students are encouraged to solve some assigned tasks using the available engineering software, such as Mathematica, MATLAB, COMSOL and Ansys. 
Lecture Breakdown  Lectures 
CLO_2, PLO_1: Part 1: Study of Basic Concepts of Heat and Mass Transfer and their Applications: Introduction to Heat and Mass Transfer Concepts: · Law of Thermodynamics · Heat and Specific Heat · Energy Transfer by Heat 
3 
Introduction to Heat Transfer Mechanism: · Conduction · Convection · Radiation 
4 
Discussion on the International Codes and Standards for the Heat Transfer Mechanism 
2 
CLO_1, PLO_2: Part 2 (A): Analysis of Heat and Mass Transfer Mechanism Using Mathematical Models and Equations: · One Dimension Heat Conduction Equation · General Heat Equation · Applying Boundary and Initial Conditions on Heat Transfer Phenomena 
6 
Steady and Transient Heat Conduction Mechanism  5 
Numerical Methods in Heat Transfer Mechanism  4 
CLO_3, PLO_5: Part 2 (B): Analysis of Heat and Mass Transfer Mechanism Using Mathematical Tools and Engineering Softwares: Modelling and Simulation of Heat Transfer Mechanism Using Mathematical Tools and Engineering Softwares 
7 
CLO_3, PLO_5: Part 3: Modelling and Simulation of Heat Transfer Mechanism Modelling and Simulation of Heat Transfer Mechanism Using Mechanical Design and Simulation Tools and Softwares  7 
CLO_4, PLO_7: Impacts of Innovative methods of Heat and Mass Transfer on Humans and Society  3 
CLO_5, PLO_12: Recent trends and research methods on Heat and Mass Transfer Mechanisms and their Modelling 
2 
CLO_2, PLO_1: Common Devices Used for Heat and Mass Transfer Mechanism 
2 
Syllabus/Course Outline Financial Engineering Models (ES 447) Spring Semester 2023  
Course Code : ES 447 Course Title : Financial Engineering Models Credit Hours : 3 PreRequisites: ES 445, ES 445L  
Course Instructor  
Name : Shahid Ahmad Office : Room G8, FES Email : Shahid.Ahmad@giki.edu.pk Office Hours : Mon to Thu: 10:00 – 11:30 am  
Course Introduction  
This course is last of the required courses for students specializing in “Modeling and Simulation” stream offered by the Faculty of Engineering Sciences. The course introduces the students to the exciting field of “Financial Engineering” a rapidly developing area requiring advanced quantitative techniques to model and solve Financial Models. The main objective of the course is to make students proficient in modern techniques of mathematical modeling and analyzing these models by performing Simulations. On completion of this course, the students will be trained enough to embark on the advanced studies in this area or in a field work requiring Modeling and Simulation of Financial Models.  
Course Contents  
· Corporate Finance and Valuation · Time Value of Money · Simple and Compound Interest. Discounting · Cash Flows and their Present and Future Values · Annuities and Perpetuities · Risk Free Assets and their Evaluation, Bonds · Risky Assets and Stock Prices · Stock and Money Market Models  · Binomial and Trinomial Tree Models · Options and Option Pricing Models · The Binomial Option Pricing Model · The Principle of No Arbitrage · Portfolio Models · Monte Carlo Methods · Simulating Stock Prices · Monte Carlo Simulations for Investments · Simulating Options and Option Strategies · Monte Carlo Methods for Option Pricing 
Text and Reference Books  
Text Book: • “Financial Modeling” by Simon Benninga, 4th Edition 2014, MIT Press USA. Reference Books: • “Mathematics for Finance – An Introduction to Financial Engineering” by Capinski Marek, Springer 2004, USA • “Financial Simulation Modeling in Excel” by Keith A. Allman, 1st Edition 2011, John Wiley USA. • Handouts/Reading Material 
Mapping of CLOs to PLOs  
Sr/No  CLOs  PLOs  Bloom’s Taxonomy  
CLO 1  Formulate a given financial engineering problem in terms of an appropriate model.  PLO2 (Problem Analysis)  Cognitive Level3 (Applying)  
CLO 2  Solve a modeled financial engineering problem by applying appropriate techniques and interpret the results.  PLO3 (Design/Development of Solutions) 
Cognitive Level4 (Analyzing)  
CLO3  Investigate financial problems by employing computer simulation methods and suggest improvements.  PLO4 (Investigation) 
Cognitive Level5 (Evaluating)  
CLO4  Formally present the results of an investigation related to a simulation problem/method.  PLO10 (Communication)  Affective Level2 (Responding to Phenomena)  
CLO5  Attend three engineering, science, and technology related seminars/talks (physical, online, recorded) and critically analyze their  PLO12 (Lifelong Learning) 
Affective Level3 (Valuing)  
Grading Policy (Subject to Change at the Discretion of Instructor)  
Assessment Items  Percentage  
Announced Quizzes  20%  
Midterm Exam  30%  
Final Exam  40%  
Project/CEP/Reports  10%  
Direct Assessment Tools for CLOs  
CLOs  Assessment Tools  
CLO1  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
CLO2  Quizzes, Assignments, Midterm Exam, Final Exam  
CLO3  Assignments, Final Exam, CEP  
CLO4  Project (CEP) Report, Class Presentation  
CLO5  Report  
Administrative Instructions  
• Student classroom attendance is expected to be 100%; minimum 80% (mandatory) attendance is required to sit in the final examination. • Students may work on home assignments in collaboration with each other, but they must submit their own work; no copying from others. Violation of this will adversely affect their quiz/exam results. • Class participation is highly encouraged. • All quizzes/examinations will be closed book. No mobile phones will be allowed. • In any case, there will be no retake of scheduled/surprise quizzes. • All the direct assessment tools i.e., Quizzes, Assignments, Midterm, Projects and Final Exam must be attempted. Failure to attempt in any of these assessment tools without any medical reason may result in failing that particular assessment.  
Lab and Computer Usage  
This is computerintensive course and requires simulations of various models. Students are required to learn and solve assigned problems/term projects in the lab. All reports must be typed and submitted either in Word or PDF Format. Soft copies of reports must also be provided.  

Lecture Breakdown  
Lecture#01  Modeling in Financial Engineering 
Lecture#02  Time Value of Money 
Lecture#03  Simple and Compound Interest 
Lecture#04  Continuous Compounding and Effective Rate of Interest 
Lecture#05  Present Value and Future Value 
Lecture#06  Stream of Cash Flows and NPV 
Lecture#07  Evaluation of Projects by NPV Method 
Lecture#08  IRR and Evaluation of Projects by IRR Method 
Lecture#09  Annuities and Perpetuities 
Lecture#10  Designing Employee Benefit Plans 
Lecture#11  Leasing and Expansion Projects by Leasing 
Lecture#12  Mortgage Plans 
Lecture#13  Risk Free Assets and Bonds 
Lecture#14  Bond Structures 
Lecture#15  Evaluation of Bonds 
Lecture#16  Risky Assets – Stocks 
Lecture#17  Evaluation of Stocks 
Lecture#18  Stock and Money Market Models 
Lecture#19  Binomial Tree Model 
Lecture#20  Binomial Tree Model continued… 
Lecture#21  The Principle of No Arbitrage 
Lecture#22  Application to the Binomial Tree Model 
Lecture#23  Portfolio Models – Introduction 
Lecture#24  Risk and Expected Return on a Portfolio 
Lecture#25  Capital Asset Pricing Model 
Lecture#26  Forward Contracts 
Lecture#27  Value of a Forward Contract 
Lecture#28  Futures Contracts – Hedging with Futures 
Lecture#29  Introduction to Options 
Lecture#30  The Binomial Option Pricing Model 
Lecture#31  European Options and American Options 
Lecture#32  European Options in the Binomial Tree Model 
Lecture#33  American Options in the Binomial Tree Model 
Lecture#34  An Introduction to Monte Carlo Methods 
Lecture#35  Generating and Using Random Variates 
Lecture#36  Simulating Stock Prices 
Lecture#37  Simulating Stock Prices (continued) 
Lecture#38  Monte Carlo Simulations for Investments 
Lecture#39  Monte Carlo Simulations for Investments (continued) 
Lecture#40  Using Monte Carlo Methods for Option Pricing I 
Lecture#41  Using Monte Carlo Methods for Option Pricing II 
Lecture#42  Summary and Conclusion 
Lecture#43  CEP Presentations 
Lecture#44  CEP Presentations 
Lecture#45  Review Session 
Note: This outline serves only as a rough guidance of the course. It may be changed or modified, and course contents/sequence of lectures may be increased/decreased/changed as and when deemed necessary by the instructor.
ES475: Optical Communications and Computing Spring 2023 
PreRequisite: ES376 Optical Engineering Instructor: Dr. Asad Mahmood Email: asad.mahmood@giki.edu.pk Office: G9, FES Phone: 2285 Consultation hours: During office hours, or by appointment for long consultation 
Course Introduction 
Optical communications, in form of fiber optic communications, free space optics etc., is becoming an integral component of modern telecommunication infrastructure. This course is designed to give an introductory understanding of the basics of optical communications, in particular focusing on fiberoptic communications. An understanding of basic concepts, theory, principals and components involved in the optical communication is given in the start and mid of this course. Last part of the course aims to introduce to the students the optical network architecture at a highlevel, and if time permits, introductory concepts of optical computing are briefly discussed at the end of the course. 
Course Content 
1. Overview of fiber optic communication: Advantages of optical fiber communication, key elements of optical communications, optical spectral bands, units etc. 2. Optical fiber waveguides: Nature of light, basic optical laws, optical fiber modes, key results of mode theory, single and multimode fibers, fiber materials and fabrication, optical cables etc. 3. Transmission characteristics of optical fibers: Signal Attenuation, Signal Dispersion, transmission characteristics of singlemode fibers, international standards 4. Optical sources: Basics of semiconductor physics, LEDs, LASER diodes, heterojunction structure, 5. Power launching and coupling: Sourcetofiber power launching, lensing schemes for coupling improvement, fibertofiber joints, Fiber splicing, optical fiber connectors 6. Photodetectors: Physical principles of Photodiodes, Photodetector noise, Response time, Comparison of photodetectors etc. 7. Optical receiver: Optical Receiver Operation, digital receiver performance, eye diagrams etc. 8. Optical System design: System considerations, link power budget, rise time budget, Power penalties 9. WDM concepts and components: Overview of WDM operation principles, passive optical couplers, MachZehnder interferometer 10. Optical networks: Basic Network concepts, Network topologies, SONET / SDH, Optical switching, WDM network examples 11. Optical computing: Basic motivation for optical computing, Basic concepts and components of optical Processing, Recent developments 
Mapping of CLOs and PLOs  
Sr. No.  Course Learning Outcomes  PLOs  Blooms Taxonomy 
CLO1  Apply fundamental optical principles for the analysis of optical fibers and systems  PLO1 (Engineering Knowledge)  C3 (Application) 
CLO2  Analyze important components and systems for optical communication, e.g., optical fibers, sources, detectors, multiplexers, networks etc.  PLO2 (Problem Analysis)  C4 (Analyzing) 
CLO3  Design a component, link, or system of optical communications for a target set of desirables and constraints.  PLO3 (Design/Development of Solutions)  C5 (Evaluating) 
CLO4  Present effectively via an oral presentation the solution of the Complex Engineering Problem given in the course  PLO10 (Communication)  A3 (Valuing) 
CLO5  Demonstrate understanding of professional ethics and practice one or more as part of course.  PLO8 (Ethics)  A3 (Valuing) 
CLO Assessment Mechanism 
 
 CLO1  CLO2  CLO3  CLO4  CLO5 
Quizzes  12 Quizzes  34 Quizzes  12 Quizzes 


CEP 

 1 report  1 presentation  1 presentation 
Midterm Exam  2 Qs  12 Qs 



Final Exam 
 34 Qs  12 Qs 


Grading policy  
Assessment items  Weightage 
5*Announced Quizzes  15% 
5*Assignments  5% 
1*Complex Engineering Problem Assignment + Presentation  9% 
1*Ethics assignment  1% 
1*Midterm exam  30% 
1*Final exam  40% 
Text and Reference Books 
Text books: 1. Optical Fiber Communication, Gerd Keiser, 4^{th}/5^{th} Ed., MGH, 2008/2017. 2. Fiber Optic Communications, Lecture Notes, Prof. Walter Johnstone
Reference books: 3. Optical Fiber Communications, John M. Senior, Pearson Education. 3rd Impression, 2009. 4. Fiberoptic Communication Systems, G. P. Agarwal, 4th Edition. 5. Optical Networks by Rajiv Ramaswami and Kumar N. Sivarajan 6. Fiber optic communication – Joseph C Palais: 4th Edition, Pearson Education. 7. Fiber Optics Communication and Other Applications by H Zanger and C Zanger 
Administrative Instructions 
· Preparing for the assignment quizzes is the best way to do well in this course, as they will be interspersed throughout the semester and you will have ample amount to prepare IF you plan nicely. I try to make most part of all the assessments including Heavyweightage Quizzes, Midterm and Final examination related to the questions given in the assignments · All the assessments (Heavyweightage quizzes, Midterm and Final Exam) will be from the book topics covered in the lectures. Hence, make sure that you read the book topics thoroughly and NOT rely ONLY on the slides, which are made only to assist in lecturing · Quizzes/Assignments schedule will be announced in the start of the class. The dates will not be changed, hence make sure to plan your other commitments accordingly as you will be given ample amount of time to prepare for each quiz · Please do not make the class noisy. As 4^{th} year students, it is expected of you to act maturely in the classes. You are allowed to go out of the class quietly if there is something urgent that needs your attention · 80% attendance is mandatory to be allowed to sit in the final examination as per institute’s policy 
Lecture Breakdown: 
· Week 1 Lectures Introduction to course, overview of optical fiber communications (Ch. 1) · Week 2 Lectures Basic optical laws and optical fiber modes (Ch. 2) · Week 3 Lectures Key results of mode theory and optical fiber characteristics (Ch. 2) · Week 4 Lectures Signal attenuation and dispersion in Optical Fibers (Ch. 3) · Week 5 Lectures Transmission characteristics of single mode fibers (Ch. 3) · Week 6 lectures Semiconductor physic basics and LEDs (Ch. 4) · Week 7 lectures Laser diodes and heterojunction structures (Ch. 4) · Week 8 lectures Sourcetofiber launching and coupling improvements (Ch. 5) · Week 9 lectures fiber coupling and physical principles of photodiodes (Ch. 5) · Week 10 lectures photodetector noise and comparisons (Ch. 6) · Week 11 lectures Optical Receiver Operation and digital receiver operation (Ch. 7)

ES 441 L: Engineering Optimization Lab (1 CH) FALL/Spring 202x  
Lab Instructor: 
 Email: 
 
Lab Engineer: 
 Email: 
 
Lab Hours: 
 Students per workstation:  01  
Batch: 
 Office: 
 Extension: 
 
LAB OBJECTIVES  
The primary goal of this lab is to train students to solve realworld optimization problems. In the planning or operation of an engineering system, engineers have to make technological and managerial decisions at several stages. The ultimate objective of all such decisions is to make optimal actions that result in a minimum effort required or to maximize the desired outcomes. This lab will introduce optimization tools, which will help students model an engineering design problem as an optimization problem, and then solve them with appropriate optimization methods.  
LAB EQUIPMENT / APPARATUS  
· Desktop PC Computers · MATLAB, Julia Software · Microsoft Excel  
MAPPING OF CLOs & PLOs  
CLOs  Course Learning Outcomes  PLOs  Bloom’s Taxonomy  
CLO1  Be able to model engineering design problems as an optimization problem.  PLO4  C3 and C4 (Application and Analysis)  
CLO2  Be able to solve the optimization problem by deploying appropriate optimization methods.  PLO4  C3 and C4 (Application and Analysis)  
CLO4  Be able to communicate the result verbally/presentation and document the result through a written report.  PLO10  A4 (Organization)  
LAB EVALUATION  
Particular  Total  
Lab Assignments/Projects  60%  
Openended Lab Project  10%  
Midterm Exam (Written + Simulation Problem)  30%  
Total  100%  
LAB CONTENTS  
Introduction to Matlab/Julia: Students will be familiarized with Matlab, by introducing with basic features and commands of the program.  Lab 1  
Introduction to Optimization: Problem formulation (single and multivariable problem), Conditions for maxima and minima, Limits, Continuity, Extreme Value Theorem, etc.  Lab 2  
Unconstrained Optimization (ZeroOrder Methods): Students will learn how to solve an unconstrained optimization problem with methods like Nelder Mead, Kaczmarz and Coordinate Descent Algorithm.  Lab 35  
Unconstrained Optimization (FirstOrder Methods): Students will learn how to solve an unconstrained optimization problem with methods like Gradient Descent, Steepest Descent, Golden search, Fibonacci Search, and Steepest descent Algorithms.  Lab 67  
Unconstrained Optimization (SecondOrder Methods): Students will learn how to solve an unconstrained optimization problem with methods like Newton methods (inexact and modified Newton methods), and QuasiNewton methods.  Lab 78  
Constrained Optimization: Student will learn how to formulate a constrained optimization problem, handling of constraints (Lagrangian and KKT conditions, and penalty function).  Lab 910  
Applications: Solving Optimization problems from Electrical Grids.  Lab 10  
Applications: Solving Optimization problems from Financial Engineering (Manufacturing Costs, etc.).  Lab 11  
Open Ended Lab (OEL) Project: Students work on OEL.  Labs 1213  
INSTRUCTIONS/SUGGESTIONS FOR STUDENTS:
ES 442L: Machine Learning Lab (1 CH) FALL/Spring 202x  
Lab Instructor: 
 Email: 
 
Lab Engineer: 
 Email: 
 
Lab Hours: 
 Students per workstation:  01  
Batch: 
 Office: 
 Extension: 
 
LAB OBJECTIVES  
This module aims to provide students with an indepth introduction to two main areas of Machine Learning: supervised and unsupervised. It will cover some of the main models and algorithms for regression, classification, clustering and probabilistic classification. Topics such as linear and logistic regression, regularisation, probabilistic (Bayesian) inference, SVMs and neural networks, clustering and dimensionality reduction. The module will use primarily the Python programming language and assumes familiarity with linear algebra, probability theory, and programming in Python.  
LAB EQUIPMENT / APPARATUS  
· Desktop PC Computers · Python · Microsoft Excel  
MAPPING OF CLOs & PLOs  
CLOs  Course Learning Outcomes  PLOs  Bloom’s Taxonomy  
CLO3  Develop an appreciation for what is involved in Learning models from data
 PLO3  C6 (Creating)  
CLO3  Appraise a wide variety of learning algorithms and learn to evaluate models generated from data
 PLO4  C5 (Evaluation)  
CLO3  Apply the algorithms using modern tools to a real problem, optimize the models learned and write a report on the expected accuracy that can be achieved by applying the models
 PLO5  C3 (Applying)  
LAB EVALUATION  
Particular  Total  
Lab Assignments/Projects  60%  
Openended Lab Project  10%  
Midterm Exam (Written + Simulation Problem)  30%  
Total  100%  
LAB CONTENTS  
Intro to Supervised/Unsupervised Learning  Lab 1
 
Decision Trees  Lab 2  
Linear regression: OLS, regularization, linear classifiers  Lab 3  
Logistic Regression, Multiclass logistic regression Ranking Support Vector Machines  Lab 4  
Feature selection latent factor models (PCA)  Lab 5  
Clustering (kmeans, soft kmeans)  Lab 6  
Ensemble methods such as Random Forest and Ada Boost  Lab 7  
Probabilistic methods (Bayesian view)  Lab 8  
Model evaluation and model selection  Lab 9  
Introduction to neural networks and convolutional neural networks  Lab 10  
Autoencoders  Lab 11  
Open Ended Lab (OEL) Project: Students work on OEL.  Labs 1213  
INSTRUCTIONS/SUGGESTIONS FOR STUDENTS:
Benchmarking: https://warwick.ac.uk/fac/sci/dcs/teaching/modules/cs342/#description
ES 471: Model Engineering Lab (1 CH) FALL/Spring 202x  
Lab Instructor: 
 Email: 
 
Lab Engineer: 
 Email: 
 
Lab Hours: 
 Students per workstation:  01  
Batch: 
 Office: 
 Extension: 
 
LAB OBJECTIVES  
The main purpose of this lab is to equip students with a set of skills that will enable them to model complex engineering problems as mathematical models. Subsequently, modeling engineering systems as a set of Linear/Nonlinear equations, DifferentialAlgebraic Equations (DEAs), Differences equations, or stochastic models. In this lab, students will also learn different modeling toolboxes such as Simulink and Mathematic.  
LAB EQUIPMENT / APPARATUS  
· Desktop PC Computers · MATLAB, SIMULINK and Mathematica Software · Microsoft Excel  
MAPPING OF CLOs & PLOs  
CLOs  Course Learning Outcomes  PLOs  Bloom’s Taxonomy  
CLO1  Be able to perform modeling techniques for analyzing engineering systems.  PLO4  C3 and C4 (Application and Analysis)  
CLO2  Be able to model engineering problems with appropriate modeling techniques.  PLO4  C3 and C4 (Application and Analysis)  
CLO4  Be able to communicate the simulation result verbally/presentation and document the result through a written report.  PLO10  A4 (Organization)  
LAB EVALUATION  
Particular  Total  
Lab Assignments/Projects  60%  
Openended Lab Project  10%  
Midterm Exam (Written + Simulation Problem)  30%  
Total  100%  
LAB CONTENTS  
Introduction to SIMULINK/Mathematica: Students will be familiarized with Matlab, by introducing with basic features and commands of the program.  Lab 1  
Introduction to Mathematical Modeling: Basic review of Calculus, and Differential Equations, and Linear Algebra.  Lab 2  
Modeling of Engineering Systems: Students will learn how to model engineering systems as Linear systems of equations (Linear programming, Network flow models, etc).  Lab 34  
Modeling of Engineering Systems: Students will learn how to model engineering systems as Nonlinear systems of equations (Multivariable root finding problems, Nonlinear programming models, applications from Circuit analysis, Power systems analysis, etc.).  Lab 56  
 Lab 78  
DifferentialAlgebraic models: Students will learn how to model engineering/physics problems through Ordinary Differential Equations (Vibration analysis, control of inverted pendulum, Dynamic model of electric circuits, dynamic model of electric power systems).  Lab 910  
Integer Programming, Stochastic Models: Students will learn how to model engineering systems through Markov models. Queuing Models. Inventory Models, etc.  Lab 11  
Open Ended Lab (OEL) Project: Students work on OEL.  Lab 12  
INSTRUCTIONS/SUGGESTIONS FOR STUDENTS:
ES 324L: Discrete System Modeling and Simulation (1 CH) FALL/Spring 202x  
Lab Instructor: 
 Email: 
 
Lab Engineer: 
 Email: 
 
Lab Hours: 
 Students per workstation:  01  
Batch: 
 Office: 
 Extension: 
 
LAB OBJECTIVES  
The goal of this lab is to get familiar with discrete Simulation techniques and their uses in various science and engineering applications. It also aims to provide basic knowledge of designing simulation models, simulation algorithms and their implementation on PCs.  
LAB EQUIPMENT / APPARATUS  
· Desktop PC Computers · MATLAB and SIMULINK Software · Microsoft Excel  
MAPPING OF CLOs & PLOs  
CLOs  Course Learning Outcomes  PLOs  Bloom’s Taxonomy  
CLO1  Be able to perform Simulation for analyzing engineering systems.  PLO4  C3 and C4 (Application and Analysis)  
CLO2  Be able to perform DiscreteEvent Simulation for optimal decision making.  PLO4  C3 and C4 (Application and Analysis)  
CLO4  Be able to communicate the simulation result verbally/presentation and document the result through a written report.  PLO10  A4 (Organization)  
LAB EVALUATION  
Particular  Total  
Lab Assignments/Projects  60%  
Openended Lab Project  10%  
Midterm Exam (Written + Simulation Problem)  30%  
Total  100%  
LAB CONTENTS  
Random Numbers and Monte Carlo Method: Calculation of π by generating random points inside a unit square.  Lab 1  
Monte Carlo Integration: Calculation of definite integrals by generating random variates uniformly distributed over the interval (a, b).  Lab 2  
Generation of Discrete and Continuous Random Variates I: Inverse Transform Method of generating different random variates. Use of Excel builtin functions.  Lab 3  
Generation of Discrete and Continuous Random Variates II: Accept/Reject Method of generating different random variates. Use of Excel builtin functions.  Lab 4  
NewsVendor Problem: Simulation of NewsVendor problem. Replicating a simulation by onedimensional Data Table.  Lab 5  
Generalized NewsVendor Problem (AdvanceBooking): Simulation of a generalized NewsVendor problem. Replicating a simulation by twodimensional Data Table.  Lab 6  
Simulation of Engineering Systems I: Using Simulink for simulation of ODEs.  Lab 7  
Simulation of Engineering Systems II: Transfer Functions and their simulation. Comparison with Nested Form and Partition Form of simulation schemes.  Lab 8  
Simulation of Engineering Systems III: Using Simulink for simulation of systems of ODEs.  Lab 9  
Simulation of Engineering Systems IV: Recursive functions and simulation of Difference Equations.  Lab 10  
Open Ended Lab (OEL) Project: Students work on OEL.  Labs 1112  
INSTRUCTIONS/SUGGESTIONS FOR STUDENTS:
Syllabus/Course Outline Model Engineering (ES 471) Fall/Spring Semester 202x  
PreRequisite(s): Calculus I, Calculus II & Differential Equation and Linear Algebra Instructor: Office Hours: Posted outside office door of course instructor. Also by appointment.  
Course Introduction  
The goal of this course is to develop an understanding of the various modeling paradigms appropriate for capturing system behavior and conducting digital computer simulations of many types of systems. The techniques and concepts discussed typically include mathematical modeling of engineering systems based on Linear System of Equations, Nonlinear System of Equations. The course will also cover modeling of Complex Engineering Systems as a set of DifferentialAlgebraicEquations (DEAs) models, Graphical Models, Integer Programming, and Stochastic Models.  
Course Contents  
a) Linear System of Equations (Linear programming, Network flow model, Circuit analysis, etc.). b) Nonlinear System of Equations (Multivariable root finding problems, Nonlinear programming models, Circuit analysis, Power systems analysis, etc.). c) Discussion about solution/analysis techniques for such models.
a) System of Ordinary Differential Equations (Vibration analysis, control of inverted pendulum, Dynamic model of electric circuits, dynamic model of electric power systems). b) Statespace models. c) DifferentialAlgebraic Equations (DAEs). d) Eigenvalues, and eigenvector analysis of the system of ODEs, discussion about steadystate, stable and unstable equilibrium, and stability.
a) Markov models. b) Queuing Models. c) Inventory Models.  
Text and Reference Books  
Text Books:
1. Mathematical Modeling in Science and Engineering: An Axiomatic Approach by George F. Pinder and I. Herrera 2. Introduction to Mathematical Modeling by Mayer Humi. Reference Books: 1. Fundamentals of Modeling and Analyzing Engineering Systems Book by Clive L. Dym, James J. Rosenberg, and Philip D. Cha.  
Mapping of CLOs to PLOs  
 
Direct Assessment Tools for CLOs  
CLOs  Assessment Tools  
CLO1  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
CLO2  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
CLO3  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
CLO4  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
Overall Grading Policy  
 
Administrative Instructions  
· According to institute policy, 80% attendance is mandatory to appear in the final examination. · All quizzes/examinations will be closed book. · There will be no retake of scheduled/surprise quizzes. · Students may work on home assignments in collaboration with each other, but they must submit their own work; no copying from others. Violation of this will adversely affect their quiz/exam results.  
Computer Usage  
This is a computer intensive course. Students are expected to have knowledge of basic computer programming techniques. They must be proficient in using the available software such as EXCEL, SIMULINK and MATLAB.  
Lecture Breakdown  

Note: This outline serves only as a rough guidance of the course. It may be changed or modified as and when deemed necessary by the instructor. The Instructor is at liberty to best distribute number of lectures and/or change the sequence of topics to cover the entire course.
Benchmark:
Syllabus/Course Outline Advanced Statistics (ES 325) Fall/Spring Semester 202x  
PreRequisite(s): Statistics I Instructor: Office Hours: Posted outside office door of course instructor. Also by appointment.  
Course Introduction  
Statistical methods are used for the analysis of different datasets for forecasting the values, predicting the unknowns, relating the variables for getting deeper insights, and relating data differences with realworld complexities. Data Science extracts knowledge from data on the basis of hidden patterns which can be made explicit by incorporating the statistical algorithms in it. This course is designed to prepare students on statistical techniques with a purview of artificial intelligence and data science.  
Course Contents  
Introduction to Statistics, Use of Statistics in Data Science, Experimental Design, Statistical Techniques for Forecasting, Interpolation/ Extrapolation, Introduction to Probability, Conditional Probability, Prior and Posterior Probability, Random number generation (RNG), Techniques for RNG, Correlation analysis, ChiSquare Dependency tests, Diversity Index, Data Distributions Multivariate Distributions, Error estimation, Confidence Intervals, Linear transformations, Gradient Descent and Coordinate Descent, Likelihood inference, Revision of linear regression and likelihood inference, Fitting algorithms for nonlinear models and related diagnostics, Generalized linear model; exponential families; variance and link functions, Proportion and binary responses; logistic regression, Count data and Poisson responses; loglinear models, Overdispersion and quasilikelihood; estimating functions, Mixed models, random effects, generalized additive models and penalized regression; Introduction to SPSS, Probability/ Correlation analysis/ Dependency tests/ Regression in SPSS.
 
Text and Reference Books  
Text Books: 1. Probability and Statistics for Computer Scientists, 2nd Edition, Michael Baron. 2. Probability for Computer Scientists, online Edition, David Forsyth.
Reference Books:
1. Discovering Statistics using SPSS for Windows, Andy Field  
Mapping of CLOs to PLOs  
 
Direct Assessment Tools for CLOs  
CLOs  Assessment Tools  
CLO1  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
CLO2  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
CLO3  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
CLO4  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
Overall Grading Policy  
 
Administrative Instructions  
· According to institute policy, 80% attendance is mandatory to appear in the final examination. · All quizzes/examinations will be closed book. · There will be no retake of scheduled/surprise quizzes. · Students may work on home assignments in collaboration with each other, but they must submit their own work; no copying from others. Violation of this will adversely affect their quiz/exam results.  
Computer Usage  
This is a computer intensive course. Students are expected to have knowledge of basic computer programming techniques. They must be proficient in using the available software such as EXCEL, SIMULINK and MATLAB.  
Lecture Breakdown  

Note: This outline serves only as a rough guidance of the course. It may be changed or modified as and when deemed necessary by the instructor. The Instructor is at liberty to best distribute number of lectures and/or change the sequence of topics to cover the entire course.
Benchmark:
Syllabus/Course Outline Machine Learning (ES 442) Fall/Spring Semester 202x  
PreRequisite(s): Statistics II, Optimization Engineering Instructor: Office Hours: Posted outside office door of course instructor. Also by appointment.  
Course Introduction  
Machine learning is one of the fastestgrowing areas of computer science, with farreaching applications. The aim of this course is to: a) Present the basic machine learning concepts; b) Present a range of machine learning algorithms along with their strengths and weaknesses; c) Apply machine learning algorithms to solve problems of moderate complexity.  
Course Contents  
 
Text and Reference Books  
Text Books: 1. Machine Learning, Tom, M., McGraw Hill, 1997. 2. Machine Learning: A Probabilistic Perspective, Kevin P. Murphy, MIT Press,2012
Reference Books:
 
Mapping of CLOs to PLOs  
 
Direct Assessment Tools for CLOs  
CLOs  Assessment Tools  
CLO1  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
CLO2  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
CLO3  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
CLO4  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
Overall Grading Policy  
 
Administrative Instructions  
· According to institute policy, 80% attendance is mandatory to appear in the final examination. · All quizzes/examinations will be closed book. · There will be no retake of scheduled/surprise quizzes. · Students may work on home assignments in collaboration with each other, but they must submit their own work; no copying from others. Violation of this will adversely affect their quiz/exam results.  
Computer Usage  
This is a computer intensive course. Students are expected to have knowledge of basic computer programming techniques. They must be proficient in using the available software such as EXCEL, SIMULINK and MATLAB.  
Lecture Breakdown  

Note: This outline serves only as a rough guidance of the course. It may be changed or modified as and when deemed necessary by the instructor. The Instructor is at liberty to best distribute number of lectures and/or change the sequence of topics to cover the entire course.
Benchmark:
Syllabus/Course Outline Engineering Optimization (ES 441) Fall/Spring Semester 202x  
PreRequisite(s): Calculus I, Calculus II & Differential Equation and Linear Algebra Instructor: Office Hours: Posted outside office door of course instructor. Also by appointment.  
Course Introduction  
It is an introductory course on optimization theory, which will cover the basics of optimization theory, numerical algorithms, and applications. The course is divided into three main parts: i) linear programming (simplex method, duality theory), ii) unconstrained methods (optimality conditions, descent algorithms, and convergence theorems), and iii) constrained minimization (Lagrange multipliers, KarushKuhnTucker conditions, active set, penalty, and interiorpoint methods). Applications in engineering, operations, finance, statistics will be emphasized. Students will also use the MATLAB/Julia optimization toolbox to obtain practical experience with the material.  
Course Contents  
1. Introduction to Optimization: Historical context, basis review of Multivariable calculus/Linear Algebra. 2. Unconstrained Optimization: · Problem formulation (single and multivariable problem), Conditions for maxima and minima, Limits, Continuity, Extreme Value Theorem, etc. · Zero Order Methods: Nelder Mead Method, Kaczmarz Algorithm, Coordinate Descent Method, Particle Swarm Algorithm, applications from realworld problems) · First Order Methods: Gradient Descent, Steepest Descent, Golden search, Fibonacci Search, Steepest descent (simplified version: number of iterations and attraction basins of the minima), Gradient method – Armijo inexact line search, Conjugate gradient methods (conjugate directions, linear and nonlinear conjugate gradient). · SecondOrder Methods: Newton methods (inexact and modified Newton methods), QuasiNewton methods (Hessian approximations, DFP and BFGS, Broyden class and SR1), Leastsquares problems (GaussNewton and LevenbergMarquardt methods). 3. Constrained optimization: Basics, Handling constraints (Lagrangian and KKT conditions, penalty function), Types of problems, Linear programming (simplex method, interior point methods). 4. Applications: Electrical Grids, Drone Delivery Systems, Autonomous Vehicle (Predictive Control), Financial Engineering (Manufacturing Costs, etc.).
 
Text and Reference Books  
Text Books: 1. Convex Optimization by S. Boyd & L. Vandenberghe Cambridge Univ. Press, 2004. 2. Engineering Optimization: Theory and Practice, by Singiresu S. Rao.
Reference Books:
 
Mapping of CLOs to PLOs  
 
Direct Assessment Tools for CLOs  
CLOs  Assessment Tools  
CLO1  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
CLO2  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
CLO3  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
CLO4  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
Overall Grading Policy  
 
Administrative Instructions  
· According to institute policy, 80% attendance is mandatory to appear in the final examination. · All quizzes/examinations will be closed book. · There will be no retake of scheduled/surprise quizzes. · Students may work on home assignments in collaboration with each other, but they must submit their own work; no copying from others. Violation of this will adversely affect their quiz/exam results.  
Computer Usage  
This is a computer intensive course. Students are expected to have knowledge of basic computer programming techniques. They must be proficient in using the available software such as Python, Mathematica, EXCEL, SIMULINK and MATLAB.  
Lecture Breakdown  

Note: This outline serves only as a rough guidance of the course. It may be changed or modified as and when deemed necessary by the instructor. The Instructor is at liberty to best distribute number of lectures and/or change the sequence of topics to cover the entire course.
Syllabus/Course Outline Discrete System Modeling and Simulation (ES 324) Fall/Spring Semester 202x  
PreRequisite(s): ES 202, ES 3xx Instructor: Office Hours: Posted outside office door of course instructor. Also by appointment.  
Course Introduction  
This course is a required course for all students specializing in “MSML” stream offered by the Faculty of Engineering Sciences. This course covers “DiscreteEvent” simulation at an introductory level, preparing students for advanced studies in these fields. The main purpose of the course is to provide an introduction to the modeling and simulation of discretestate, discreteevent systems (DES). This course will provide an investigation of the steps of a DES simulation study, including problem formulation, conceptual model design, simulation model development, input data modeling, output data analysis, verification and validation, and design of simulation experiments. Constructing models of a given situation appropriate for computer simulation is a part of the course. There is an emphasis on providing the mathematical skills with a working knowledge and understanding of basic concepts involved.  
Course Contents  
· Introduction to Simulations: Simulation and modeling; Types of Simulation; Uses of Simulations. · General Principles of DES: Basic concepts; Review of basic probability; Standard probability distributions; Random variates and their uses in discrete event simulation.DiscreteEvent System Simulations: Simulation of random numbers and random variates; Simulation of problems of discrete nature; Input modeling, Analysis of output data, Verification and validation of simulation models. · Simulation of Queuing Systems and Inventory Systems: Queuing systems and their simulation; M/M/1 and M/M/2 systems; Newsvendor’s problem and simulation of basic inventory systems, Simulation of computer networks.  
Text and Reference Books  
Text Books: · DiscreteEvent System Simulation by Jerry Banks et al. 5th Edition 2009, Pearson USA. · DiscreteEvent Simulation: A First Course by Lawrence M. Leemis et al. 1st Edition 2006, Pearson USA.
Reference Books:
 
Mapping of CLOs to PLOs  
 
Direct Assessment Tools for CLOs  
CLOs  Assessment Tools  
CLO1  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
CLO2  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
CLO3  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
CLO4  Quizzes, Assignments, Midterm Exam, Final Exam, Projects  
Overall Grading Policy  
 
Administrative Instructions  
· According to institute policy, 80% attendance is mandatory to appear in the final examination. · All quizzes/examinations will be closed book. · There will be no retake of scheduled/surprise quizzes. · Students may work on home assignments in collaboration with each other, but they must submit their own work; no copying from others. Violation of this will adversely affect their quiz/exam results.  
Computer Usage  
This is a computer intensive course. Students are expected to have knowledge of basic computer programming techniques. They must be proficient in using the available software such as EXCEL, SIMULINK and MATLAB.  
Lecture Breakdown  

Note: This outline serves only as a rough guidance of the course. It may be changed or modified as and when deemed necessary by the instructor. The Instructor is at liberty to best distribute number of lectures and/or change the sequence of topics to cover the entire course.
ES361 Solid State Electronics (3 Credit Hours) – Fall 202X 
PreRequisite: PH102 Instructors: ^{ }Office: , Email: Office Hours: 
Course Introduction  
This course introduces students to the theory and applications of solidstate electronics. This course introduces students to the theory of solidstate electronics from basic structure to the carrier transport to pnjunction and metalsemiconductor contacts. The course will also cover solidstate devices and applications such as fieldeffect transistors (FETs), metal oxide semiconductor fieldeffect transistors (MOSFETs), bipolar transistors and other microelectronics. The students are expected to learn the necessity as well as the basic physics governing solidstate electronics. At the end of the course, students are supposed to be knowledgeable on the theory of solidstate electronics and may implement them in their future academic as well as industrial professions.  
Course Contents  
•Bandstructure and doping of semiconductors. • DriftDiffusion Equations; Density of states; Fermi function; Law of Mass Action. • PN Junctions: Derivation of IV characteristics; Capacitance; Breakdown; Nonidealities. • Bipolar Junction Transistor (BJT): Operation principles; Derivation of IV characteristics; EbersMoll model; Nonidealities. • MOSFET: Derivation of IV characteristics; Threshold Voltage; Operatingmode. • CMOS devices. • Microfabrication of: BJTs; MOSFETs; CMOS; Integrated circuits. • Quantum effects: Tunnelling effects in diodes; Tunnel FETs; Quantization of transport; Energy levels in ultrascaled transistors. • Optoelectronic & Photonic Devices: Direct Vs Indirect Bandgap devices. • LEDs; Semiconductor Lasers; Photovoltaic Cells  
Mapping of CLOs & PLOs  
 
CLOs Direct Assessment Mechanism  
 
Overall Grading Policy  
 
Text and Reference Books  
Besides the handouts given in class, following reference materials shall be used: Text Book: • Donald A. Neamen, “Semiconductor Physics and Devices – Basic Principles” 4th Edition (2012) Reference Books: • S. M. Sze and Kwok K. Ng, “Physics of Semiconductor Devices” 3rd Edition (2007) • Ben G. Streetman and Sanjay Kumar Banerjee , “Solid State Electronic Devices” 6th Edition (Indian Edition) (2006) 
Administrative Instructions + Online Teaching SOPs 
§ According to institute policy, 80% attendance is mandatory to appear in the final examination. § In any case, there will be no retake of (scheduled/surprise) quizzes. § For queries, kindly follow the office hours to avoid any inconvenience. Online Teaching Related Instructions · During mandatory closure of HEIs, course is shifted to MS Teams, where lectures are given in synchronous mode according to announced schedule. · Lectures are also recorded for later viewing in case any students have connectivity issues. · Quizzes and assignments are administered through the MS Teams assignment system. · In order to discourage use of unfair means in quizzes, viva option has been added. 
Computer Usage 
Students are encouraged to solve some assigned tasks using the available engineering software, such as MATLAB

Lecture Breakdown  

***All the Best***
Benchmark:
ES426 VLSI Design (3 Credit Hours) – Semester(Fall/Spring)/Year(202X) 
PreRequisite: Solid State Electronics Instructors: ^{ }Office: , Email: Office Hours: 
Course Introduction  
To give an introduction and understanding of concepts of the implementation of VLSI designs for digital systems. To develop the understanding of TransistorLevel Logic Design, CMOS Digital Chip Design and evaluation of Gate Functions and Timing Characteristics.  
Course Contents  
Transistor topology, transistor equations, CMOS process steps, design rules, for custom layout; CMOS logic design, complex gates, BiCMOS circuits, pseudo, NMOS, dynamic logic, dynamic cascaded logic, domino logic, 2 and 4 phase logic, pass transistor logic; control and timing, synchronous and asynchronous, selftimed system, multiphase clocks, examples of ALU, shifters and registers; layout, hand layout, graphical layout, lowlevel languages, design rule checking, placement of cells, simulation of design, test pattern generation, highlevel languages, structured design methodology for FLSI, hierarchical design techniques and examples. ultrafast VLSI circuits and systems, and their design; digital and analog architectures, serial addition, bitserial multipliers, systolic arrays, future integrated circuit processing, effect of scaling circuit dimensions, physical limits of device fabrication. Clocking and Timing Issues. Layout of digital circuits. HDL Programming in Verilog.  
Mapping of CLOs & PLOs  

CLOs Direct Assessment Mechanism  
 
Overall Grading Policy  
 
Text and Reference Books  
Besides the handouts given in class, following reference materials shall be used: Textbook: 1. CMOS VLSI Design: A Circuits and Systems Perspective 4th Edition, by Neil Weste, David Harris, Pearson; (March 11, 2010). Reference Books: 1. Digital Integrated Circuits 2nd Edition by Jan M. Rabaey, Anantha Chandrakasan, Borivoje Nikolic, Pearson; January 3, 2003. 2. Zainalabedin Navabi, “Verilog ComputerBased Training Course,” 1^{st} Edition, 2002, McGrawHill

Administrative Instructions + Online Teaching SOPs 
§ According to institute policy, 80% attendance is mandatory to appear in the final examination. § In any case, there will be no retake of (scheduled/surprise) quizzes. § For queries, kindly follow the office hours to avoid any inconvenience. Online Teaching Related Instructions · During mandatory closure of HEIs, course is shifted to MS Teams, where lectures are given in synchronous mode according to announced schedule. · Lectures are also recorded for later viewing in case any students have connectivity issues. · Quizzes and assignments are administered through the MS Teams assignment system. · In order to discourage use of unfair means in quizzes, viva option has been added. 
Computer Usage 
Students are encouraged to solve some assigned tasks using the available engineering software tools.

Lecture Breakdown  

***All the Best***
Benchmark:
ES4XX Imaging and Displays (3 Credit Hours) – Semester(Fall/Spring)/Year(202X) 
PreRequisite: Foundations of Photonics Instructors: ^{ }Office: , Email: Office Hours: 
Course Introduction  
This course introduces the basic principles of two and threedimensional imaging systems. It begins with the mathematical description of image formation as a linear system and draws on the student’s knowledge of signals and systems to introduce the concepts of point spread function, transfer function, resolution, and restoration. Actual physical imaging systems (such as microscopes, telescopes, and copiers) operating in the gazing and scanning configurations are subsequently modeled and their resolution assessed. Interferometric imaging systems and their applications in metrology are described. Techniques for depth profiling are then introduced including pointbypoint scanning (as in laser scanning fluorescence microscopy), echo ranging (as in sonar and radar imaging), and interferometry (as in optical coherence tomography). This is followed by an introduction to computational imaging, including the techniques of computed tomography (CT), range tomography, and magnetic resonance imaging (MRI). Hyperspectral imaging systems and their various configurations are then described including applications in detection (of tumors, for example) and classification (of different targets). Performance measures such as sensitivity and specificity are introduced. Applications for remote sensing, nondestructive testing, and biology and medicine are highlighted.  
Course Contents  
 
Mapping of CLOs & PLOs  

CLOs Direct Assessment Mechanism  
 
Overall Grading Policy  
 
Text and Reference Books  
Besides the handouts given in class, following reference materials shall be used: Textbook: · Introduction to Subsurface Imaging, B. Saleh, Cambridge University Press, 2011. Reference Books: 1. Flat Panel displays, ST Wu 
Administrative Instructions + Online Teaching SOPs 
§ According to institute policy, 80% attendance is mandatory to appear in the final examination. § In any case, there will be no retake of (scheduled/surprise) quizzes. § For queries, kindly follow the office hours to avoid any inconvenience. Online Teaching Related Instructions · During mandatory closure of HEIs, course is shifted to MS Teams, where lectures are given in synchronous mode according to announced schedule. · Lectures are also recorded for later viewing in case any students have connectivity issues. · Quizzes and assignments are administered through the MS Teams assignment system. · In order to discourage use of unfair means in quizzes, viva option has been added. 
Computer Usage 
Students are encouraged to solve some assigned tasks using the available engineering software tools.

Lecture Breakdown  

***All the Best***
Benchmark
https://creol.ucf.edu/ose4830imaginganddisplay/
ES445 Biophotonics (3 Credit Hours) – Semester(Fall/Spring)/Year(202X) 
PreRequisite: Foundations of Photonics Instructors: ^{ }Office: , Email: Office Hours: 
Course Introduction  
This course is an introduction to photobiology (interaction of light with biological matter), tissue optics, lightinduced cellular processes, optical biosensors, and cellular and molecular imaging. Biophotonics is an emerging multidisciplinary field where lightbased methods are utilized to reveal biological mechanisms and diagnose or treat several diseases. This course introduces the basics of biology and photonics and provides the most relevant and important application examples selected from chemistry, biology, pharmacology and medicine. For examples, it includes how to detect and identify new viruses and how to manipulate the brain of mouse with light, etc.  
Course Contents  
 
Mapping of CLOs & PLOs  

CLOs Direct Assessment Mechanism  
 
Overall Grading Policy  
 
Text and Reference Books  
Besides the handouts given in class, following reference materials shall be used: Textbook: · Introduction to Biophotonics”, Paras N. Prasad (2003) Reference Books: 1. “Biophotonics: Concepts to Applications”, Gerd Keiser (2016) 2. “Physical Biology of the Cell”, Rob Phillips (2012) 3. “Fundamentals of Biomedical Optics”, Caroline Boudoux (2017) 
Administrative Instructions + Online Teaching SOPs 
§ According to institute policy, 80% attendance is mandatory to appear in the final examination. § In any case, there will be no retake of (scheduled/surprise) quizzes. § For queries, kindly follow the office hours to avoid any inconvenience. Online Teaching Related Instructions · During mandatory closure of HEIs, course is shifted to MS Teams, where lectures are given in synchronous mode according to announced schedule. · Lectures are also recorded for later viewing in case any students have connectivity issues. · Quizzes and assignments are administered through the MS Teams assignment system. · In order to discourage use of unfair means in quizzes, viva option has been added. 
Computer Usage 
Students are encouraged to solve some assigned tasks using the available engineering software tools.

Lecture Breakdown  

***All the Best***
Benchmark:
https://creol.ucf.edu/ose4721biophotonics/
ES444Geometric Optics (3 Credit Hours) – Fall 202X 
PreRequisite: Linear Algebra and Differential Equations (MT201) and Foundations of photonics (ES2XX) Instructors: ^{ }Office: , Email: Office Hours: 
Course Introduction  
Geometric optics is the study of light in its simplest form by treating light as rays. Light rays travel in straight lines until they encounter an interface (such as a mirror or a lens) where they may be redirected by reflection and refraction. This course describes the physical principles that determine how rays behave at various interfaces. These principles are then used to model simple optical systems with varying degrees of fidelity. Natural optical phenomena (rainbows, mirages, totalinternal reflection, etc.) and classic optical systems (prisms, telescopes, cameras, etc.) will be analyzed throughout the course. Linear systems will be introduced to analyze more complex optical systems. This course provides the fundamentals needed for optical system design.  
Course Contents  
Course Outline will be composed of the following topics: 1. Introduction to Geometric Optics – Light as Rays: Wave nature of light, propagation in homogeneous media, wavefronts and rays, radiometry, limits of geometrical optics. 2. Planar Optical Surfaces: Refractive index, optical path length, Fermat’s principle, Snell’s law, reflection and refraction, plane parallel plates, prisms, optical materials. 3. Curved Optical Surfaces: Image formation, lenses, optical spaces, image types, shape of optical surfaces, ray tracing, paraxial approximation. 4. Imaging: Lens design, thin lens model, magnification, ZZ’ diagram, cardinal points, Gaussian optics, thick lenses, mirrors. 5. Apertures: Aperture stop, field stop, Fnumber, numerical aperture, depth of focus. 6. Example Optical Systems: Telescopes, cameras, microscopes, luminaires, concentrators, displays.
 
Mapping of CLOs & PLOs  
 
CLOs Direct Assessment Mechanism  
 
Overall Grading Policy  
 
Text and Reference Books  
Besides the handouts given in class, following reference materials shall be used: Text Book: • Geometrical and Trigonometric Optics, 1 ed., E. L. Dereniak, and T. D. Dereniak, Cambridge University Press 2008 Reference Books: • Introduction to Optics, 3rd ed., F. L. Pedrotti, L.S. Pedrotti and L. M. Pedrotti, PrenticeHall, 2009. • Geometrical Optics and Optical Design, P. Mouralis and J. Macdonald, Oxford University Press, 1997. 
Administrative Instructions + Online Teaching SOPs 
§ According to institute policy, 80% attendance is mandatory to appear in the final examination. § In any case, there will be no retake of (scheduled/surprise) quizzes. § For queries, kindly follow the office hours to avoid any inconvenience. Online Teaching Related Instructions · During mandatory closure of HEIs, course is shifted to MS Teams, where lectures are given in synchronous mode according to announced schedule. · Lectures are also recorded for later viewing in case any students have connectivity issues. · Quizzes and assignments are administered through the MS Teams assignment system. · In order to discourage use of unfair means in quizzes, viva option has been added. 
Computer Usage 
Students are encouraged to solve some assigned tasks using the available engineering software, such as MATLAB

Lecture Breakdown  

Benchmark:
https://creol.ucf.edu/ose3200geometricoptics/
ES443 Laser Engineering (3 Credit Hours) – Fall 202X 
PreRequisite: Foundations of photonics (ES2XX) Instructors: ^{ }Office: , Email: Office Hours: 
Course Introduction  
It is an introductory course on lasers which covers principles of laser amplification and oscillations, design of lasers, and general characteristics of excitation systems. It is suitable for students with backgrounds in physics, electrical engineering, materials and other disciplines who require a fundamental knowledge of lasers and how they operate. The course covers the basic physics of laser operation, and includes understandings of resonator theory, pulsed and continuous wave operation of lasers. Most popular lasers are described, as well as a pulsed techniques such as Qswitching, modelocking and harmonic generation. The student is also introduced to the exciting types of new lasers being developed.  
Course Contents  
Course Outline will be composed of the following topics:
1. Introduction, History, Properties of Laser Light 2. Blackbody Radiation, Planck’s Theorem 3. Absorption, Spontaneous & Stimulated Emission, Rate Equations 4. Line Broadening Mechanisms, Nonradiative transitions, degenerate levels, 5. Saturation 6. Energy levels: atoms, molecules, solidstate 7. 3 and 4 level systems 8. Semiconductor Quantum Wells 9. Matrix Formulation of Geometrical Optics: Reflection and transmission at an interface 10. FabryPerot Interferometer: Diffraction in the Parametric Approximation 11. Gaussian Beams, modes: ABCD matrices 12. Properties of Resonators, Stable resonators Unstable resonators 13. Incoherent Light pumping 14. Laser pumping: laser diode pumping 15. Electrical and optical pumping 16. Rate Equations 17. Threshold conditions : 3 and 4 level systems 18. Single mode selection 19. Laser threshold and cw operation, Quasi3 level lasers, optimum output coupling, ASE 20. Paraxial beams, cavity modes, ABCD matrices, Stable and unstable resonators 21. Relaxation Oscillations 22. QSwitching 23. Modelocking and Ultrafast lasers 24. Crystal lasers 25. Glass and fiber lasers 26. Semiconductor lasers: Homojunction lasers, Double Heterojunction lasers 27. Quantum well lasers and VCSELs 28. HeNe, CO2 and Excimer Lasers
 
Mapping of CLOs & PLOs  
 
CLOs Direct Assessment Mechanism  
 
Overall Grading Policy  
 
Text and Reference Books  
Besides the handouts given in class, following reference materials shall be used: Text Book: • Orazio Svelto “Principles of Lasers” 5th Ed.,2010, Springer Reference Books: • Joseph T. Verdeyen “Laser Electronics” 3rd ed., 1995, Prentice Hall • William T. Silfvast “Laser Fundamentals” 2nd Edition, 2008, Cambridge University Press 
Administrative Instructions + Online Teaching SOPs 
§ According to institute policy, 80% attendance is mandatory to appear in the final examination. § In any case, there will be no retake of (scheduled/surprise) quizzes. § For queries, kindly follow the office hours to avoid any inconvenience. Online Teaching Related Instructions · During mandatory closure of HEIs, course is shifted to MS Teams, where lectures are given in synchronous mode according to announced schedule. · Lectures are also recorded for later viewing in case any students have connectivity issues. · Quizzes and assignments are administered through the MS Teams assignment system. · In order to discourage use of unfair means in quizzes, viva option has been added. 
Computer Usage 
Students are encouraged to solve some assigned tasks using the available engineering software, such as MATLAB

Lecture Breakdown  

Benchmark:
https://creol.ucf.edu/ose6525laserengineering/
ES474 Optoelectronics (3 Credit Hours) – Fall 202X 
PreRequisite: Solid State Electronics Instructors: ^{ }Office: , Email: Office Hours: 
Course Introduction  
This course is an introduction to the principles, design, and applications of optoelectronic devices. The course begins with a description of the interaction of light with semiconductor materials in a pn junction configuration. This includes the phenomena of absorption, electroluminescence, and stimulated emission. The distinction between direct and indirect compound semiconductors materials is noted. Basic devices are then described: photodiodes, light emitting diodes (LEDs), semiconductor optical amplifiers, and laser diodes are then described. Array detectors, including complementary metaloxidesemiconductor (CMOS) and chargecoupled devices (CCD) arrays, and array LEDs are then introduced. Basic specifications and applications of each of these devices are described, including solar cells, imaging with array detectors, and LED displays.  
Course Contents  
• pn Junction Principles: Open Circuit, Forward Bias and the Shockley Diode Equation, Minority Carrier Charge Stored in Forward Bias, Recombination Current and the Total Current • pn Junction Dynamic Resistance and Capacitances: Depletion Layer Capacitance, Recombination Lifetime, Direct Recombination, Indirect Recombination • LightEmitting Diodes: Principles, Homojunction LEDs, Heterostructure, Output Spectrum • Quantum Wells, High Intensity LEDs, LED Efficiencies and Luminous Flux, Basic LED Characteristics, LEDs for Optical Fiber Communications, Phosphors and White LEDs • Laser Diodes, Laser Diode Equation • Vertical Cavity Surface Emitting Lasers • Semiconductor Optical Amplifiers • pn Junction Photodiode: Basic Principles, Energy Band Diagrams and Photodetection Modes, CurrentVoltage Convention and Modes of Operation, Shockley–Ramo Theorem and External Photocurrent • Absorption Coefficient and Photodetector Materials • Quantum Efficiency and Responsivity • Photodiodes: pin Photodiode, Avalanche photodiode, heterojunction photodiodes, Schottky Junction Photodetector • Phototransistors • Photoconductive Detectors and Photoconductive Gain • Basic Photodiode Circuits • Noise in Photodetectors • Photovoltaic Devices: Solar Cells • Optical Modulators  
Mapping of CLOs & PLOs  
 
CLOs Direct Assessment Mechanism  
 
Overall Grading Policy  
 
Text and Reference Books  
Besides the handouts given in class, following reference materials shall be used: Text Book: • Optoelectronics and Photonics: Principles and Practices, S. O. Kasap, 2nd Edition, Pearson, NJ, USA, 2013. ISBN: 9781299924482 Reference Books: • Fundamentals of Photonics, B. E. A. Saleh and M. C. Teich, 3rd Ed., Wiley, 2019. ISBN: 9781119506874 
Administrative Instructions + Online Teaching SOPs 
§ According to institute policy, 80% attendance is mandatory to appear in the final examination. § In any case, there will be no retake of (scheduled/surprise) quizzes. § For queries, kindly follow the office hours to avoid any inconvenience. Online Teaching Related Instructions · During mandatory closure of HEIs, course is shifted to MS Teams, where lectures are given in synchronous mode according to announced schedule. · Lectures are also recorded for later viewing in case any students have connectivity issues. · Quizzes and assignments are administered through the MS Teams assignment system. · In order to discourage use of unfair means in quizzes, viva option has been added. 
Computer Usage 
Students are encouraged to solve some assigned tasks using the available engineering software, such as MATLAB

Lecture Breakdown  

***All the Best***
Benchmark:
https://www2.creol.ucf.edu/Academics/Courses/ViewSyllabus.aspx?CourseScheduleID=1970
ES323 Foundation of Photonics (3 Credit Hours) – Fall 202X 
PreRequisite: Instructors: ^{ }Office: , Email: Office Hours: 
Course Introduction  
Some of the main growth areas in the “hightech” sectors are centered on the branch of optics known as “Photonics”, examples are; displays, data storage, telecommunication systems. This is not a temporary phenomenon. Continued growth of optics and photonicsbased industries means that there will be a growing and permanent need for engineers and scientists with some training in optics. Other areas of optics, such as biophotonics, laser machining, laser marking, infrared imaging, etc. are growing strongly also. These topics are covered in the other courses in the Photonic Science and Engineering degree program. This course provides students with the strong foundation in optics that will be needed for the subsequent courses  
Course Contents  
This course introduces the basic descriptions of light as waves (physical optics), and photons. Interference of optical waves is described along with interferometers and their applications to optical metrology and sensing. Fourier series for the analysis of waves. Diffraction of optical waves propagating through apertures is examined and the effects on the resolution of imaging systems and the spreading and focusing of optical beams are covered. Diffraction gratings and grating spectrometers. Introduction to Fourier analysis for treating diffraction. Brief introduction to polarization and polarization devices. Regarding light as photons, a brief introduction to absorption, emission, and luminescence phenomena is followed by a brief description of photonic devices such as light emitting diodes, lasers and optical detectors.  
Mapping of CLOs & PLOs  
 
CLOs Direct Assessment Mechanism  
 
Overall Grading Policy  
 
Text and Reference Books  
Besides the handouts given in class, following reference materials shall be used: Text Book: • Fundamentals of Photonics, B. E. A. Saleh and M. C. Teich, 3rd Ed., Wiley, 2019. ISBN: 9781119506874 Reference Books: • Optoelectronics and Photonics: Principles and Practices, S. O. Kasap, 2nd Edition, Pearson, NJ, USA, 2013. ISBN: 9781299924482

Administrative Instructions + Online Teaching SOPs 
§ According to institute policy, 80% attendance is mandatory to appear in the final examination. § In any case, there will be no retake of (scheduled/surprise) quizzes. § For queries, kindly follow the office hours to avoid any inconvenience. Online Teaching Related Instructions · During mandatory closure of HEIs, course is shifted to MS Teams, where lectures are given in synchronous mode according to announced schedule. · Lectures are also recorded for later viewing in case any students have connectivity issues. · Quizzes and assignments are administered through the MS Teams assignment system. · In order to discourage use of unfair means in quizzes, viva option has been added. 
Computer Usage 
Students are encouraged to solve some assigned tasks using the available engineering software, such as MATLAB

Lecture Breakdown  

***All the Best***
Benchmark:
https://www2.creol.ucf.edu/Academics/Courses/ViewSyllabus.aspx?CourseScheduleID=1963
ES425 Fiber Optic Communications (3 Credit Hours) – Fall 202X 
PreRequisite: Introduction to Photonics Instructors: ^{ }Office: , Email: Office Hours: 
Course Introduction  
This course is related to the principles of optical fiber communication systems. The course covers three topics: 1) The optical fiber as a transmission channel. 2) Optoelectronic devices used in transmitters, receivers, and multiplexers. 3) Design of the overall communication system and assessment of its performance. In part 1, stepindex and gradedindex multimode and singlemode optical fibers are described and their attenuation and dispersion characteristics are determined. The transfer function of the fiber system is determined. Part 2 introduces the basic principles of interaction of light with semiconductor materials, including absorption and electroluminescence. Light emitting diodes, laser diodes, and photodiodes are introduced as the basic components of optical transmitters and receivers. Semiconductor and fiber optical amplifiers are also introduced. Part 3 deals with the design of the digital fiber communication system, including derivation of the bit error rates for attenuation and dispersionlimited systems and determination of the maximum data rates possible for a given length. Introductions to wavelengthdivision multiplexing (WDM) and optical fiber networks are also provided.  
Course Contents  
• Overview of Optical Fiber Communications • Optical Fibers: Structures, and Waveguiding • Attenuation and Dispersion • Optical Sources • Power Launching and Coupling • Photodetectors • Optical Receiver Operation • Digital Links • WDM Concepts and Components • Optical Amplifiers • Optical Networks
 
Mapping of CLOs & PLOs  
 
CLOs Direct Assessment Mechanism  
 
Overall Grading Policy  
 
Text and Reference Books  
Besides the handouts given in class, following reference materials shall be used: Text Book: • Optical Fiber Communications, 4th Edition G. Keiser, McGrawHill Reference Books: • Introduction to Optical Fiber Communication Systems, W. Jones, Jr., Oxford University Press. • FiberOptic Communication Systems, G. Agrawal, Wiley. • Fundamentals of Photonics, B. E. A. Saleh and M. C. Teich, 3rd Ed., Wiley, 2019. ISBN: 9781119506874 
Administrative Instructions + Online Teaching SOPs 
§ According to institute policy, 80% attendance is mandatory to appear in the final examination. § In any case, there will be no retake of (scheduled/surprise) quizzes. § For queries, kindly follow the office hours to avoid any inconvenience. Online Teaching Related Instructions · During mandatory closure of HEIs, course is shifted to MS Teams, where lectures are given in synchronous mode according to announced schedule. · Lectures are also recorded for later viewing in case any students have connectivity issues. · Quizzes and assignments are administered through the MS Teams assignment system. · In order to discourage use of unfair means in quizzes, viva option has been added. 
Computer Usage 
Students are encouraged to solve some assigned tasks using the available engineering software, such as MATLAB

Lecture Breakdown  

***All the Best***
Benchmark:
https://www.creol.ucf.edu/wpcontent/uploads/sites/2/2019/10/OSE4470Syllabus.pdf
ES361L: Solid State Electronics (1 CH)  
Lab Instructors 
 
Lab Engineers 

 
Lab Hours 
 Students per workstation 
 
Batch 
 Office 
 Extension 
 
Semester (Fall/Spring)/Year (202X)  
LAB OBJECTIVE  
This lab’s aim is to investigate the semiconductor material and device properties like resistivity, conductivity type, mobility, carrier concentration, solar cell characteristics. An open source device characterization tool (nanoHub) is also introduced in this lab.  
LAB CONTENTS  
Crystal viewing and characterization (CLO1, CLO5) To study and view different crystal structures and characterization of materials of your own choice.  Lab 1  
Carrier statistics (CLO1, CLO5) To study carrier’s mobility pattern of different crystals and materials.  Lab 2  
Transistor Characterization (CLO3, CLO5) To study the characterization of bipolar junction transistors  Lab 3  
PN junction characterization by varying thickness parameters (CLO2, CLO5) To characterize PN junction varying thickness parameters using Nano Hub.  Lab 4  
PN junction characterization by varying Structural and Environmental parameters (CLO2, CLO5) To characterize PN junction varying structural and environmental parameters using Nano Hub.  Lab 5  
Photovoltaic Cell Characterization (CLO2, CLO5) To characterize PV cell and observe its different characteristics.  Lab 6  
Introduction to Modern Tools Part 1COMSOL (CLO1, CLO5) Introduction to the COMSOL and its modeling  Lab 7  
Introduction to Modern Tools Part 2COMSOL (CLO2, CLO5) To design and analyze solid state electronic devices  Lab 8  
Introduction to Modern Tools Part 3SilENSe Tools (CLO1, CLO5) Introduction to the SilENSe and its modeling  Lab 9  
Introduction to Modern Tools Part 4SilENSe Tools (CLO2, CLO5) To design and analyze solid state electronic devices  Lab 10  
Open Ended Lab Problem given by instructor.  Lab 11  
CLOs  Course Learning Outcomes  PLO’s  Taxonomy 
CLO1  To explain the working mechanism of solid state electronic devices  PLO 1 Engineering Knowledge  C2 
CLO2  To demonstrate the working principles of pn junction devices.  PLO4 Investigation  P3 
CLO3  To demonstrate the operation of transistors.  PLO4 Investigation  P3 
CLO4  To demonstrate carrier statistics.  PLO4 Investigation  P3 
CLO5  To follow SOPs outlined on notice board of semiconductors lab.  PLO8 Ethics  A3 
LAB EQUIPMENT / APPARATUS  
Optical devices such as Laser, LED. Others: Analogue and digital multi meters (ammeter, voltmeters), Rheostats, power supplies, Meter scales. Simulation and Characterization tools: NanoHub (Opensource), Proteus, Multisim. 
PARTICULAR  TOTAL (Tentative) 
Lab Performance  40% 
Open Ended Lab  15% 
Lab Final  45% 
Total  100% 
INSTRUCTIONS FOR STUDENTS
 ES425L: Fiber Optic Communication (1 CH)  
 Lab Instructors  Dr. ABC  
 Lab Engineers  Engr. XYZ  ABC@giki.edu.pk  
 Lab Hours  Tuesday (02:30pm to 05:30pm)  Students per workstation  02  
 Batch  28  Office  G45  Extension  2719  
 SPRING 2021  
 LAB OBJECTIVE  
 Laboratory experiments cover the principles and design of optical fiber as a communication channel, coupler, transmitter and receiver using optoelectronic devices, multiplexing, and investigating overall systems performance. The objective is to familiarize student with three main topics: 1) The optical fiber as a transmission channel; 2) Optoelectronic devices used in transmitters, receivers, and multiplexers; 3) Overall communication system performance. The issues of digital and analog optical communication systems and their performances are introduced and quantified.  
 LAB CONTENTS  
 Introduction to OptiSystem Software and designing a transmitter using External Modulated Laser (CLO1 & CLO3) This lab includes · Understanding the working and commands of the software. · Create a transmitter using an external modulated laser. Become familiar with the Component Library, the Main layout, component parameters, and visualizers  Lab 1  
 Receiver and its characteristics using OptiSystem [CLO1, CLO2] The objective of this lab is to investigate the characteristics of PIN Photodiodes (like responsivity and bandwidth) and understand the usage of the Lightwave Analyzer.  Lab 2  
 Designing Optical Communication System using OptiSystem [CLO1, CLO2, CLO5] · To simulate a fiber optic communication system using OptiSystem · To measure the wavelength of lightemitting devices using SiLENSe  Lab 3  
 Characterization of optical fiber transmission (CLO2& CLO3) The experimental work involves building a point to point link, measurement of attenuation (using OTDR) for different connector types, fiber pigtail, and single mode fibers. The objectives also include fiber dispersion measurement in optical fiber links using EDCOM trainer kit  Lab 4  
 Characterization of optical transmitters for modulation (CLO3 & CLO4) The objective of this experiment is to investigate Pulse broadening in fibers using LED vs. laser sources  Lab 5  
 Performance evaluation of optical communication link (CLO2 & CLO4) The objective of this experiment is to build a simple optical communication network and study of eye diagrams/ bit error rates. This also include to learn how to generate and evaluate signals in terms of Eye diagram using BER (COM) trainer. This will provide an appreciation of the effects of noise, attenuation and dispersion on system’s performance.  Lab 6  
 Characterization of passive optical components (CLO2 & CLO3) The objective of this experiment is to characterize Passive devices such as couplers, isolators, interrupters, reflection modules, scanners, fiber circulators and fiberBragg gratings  Lab 7  
 Gain and ASE noise analysis of Optical Amplifiers (CLO2 & CLO3) This experiment involves the characterization of Active devices (in terms of gain and ASE noise): Erbiumdoped fiber amplifiers, Semiconductor optical amplifiers.  Lab 8  
 Fiber Fusion Splicing and testing (CLO2 & CLO3) This experiment involves the preparation of fiber for splicing, use of splicing machine and testing the loss of it using OTDR. The object is to get handson experience of splicing and develop the ability to interpret OTDR traces for network analysis (in terms of number of splices, faults, losses using Optosci EDNET trainer kit for optical network)  Lab 9  
 Advanced applications of optical fiber systems (CLO1& CLO5) The objective of this experiment is to understand, assemble characterize fiber laser and setup a system for sensing applications of fiber  Lab 10  
WDM Networks (CLO3 & CLO4) The objective of this experiment is to develop a practical understanding and knowledge of the components used in the WDM networks using EDWDM components kit (optosci WDM trainer). It involves examination of a two channel WDM system, WDM crosstalk, effect of wavelength drift and influence of it on the Eye diagram/BER.  Lab 11 
 
Open Ended Lab (CLO1 & CLO5) Problem given by instructor.  Lab 12 
 
CLO’s  Course Learning Outcomes  PLO’s  Bloom Taxonomy 
 
CLO1  To model various fiber optic components and systems using advanced simulation tools and be able to relate experimental work  PLO5 (Modern Tool Usage)  A3 
 
CLO2  To be able to build optical fiber network by coupling light in and out of fibers, splicing, measuring loss using OTDR and dispersion analysis  PLO3 (Design/Development of Solutions)  P3 
 
CLO3  To be able to assemble analog and digital fiber based communication links and measure its performance  PLO4 (Investigation)  P4 
 
CLO4  Establish an integrated view of engineering by investigating the fundamental analogies between electrical and optical communication systems  PLO4 (Engineering Knowledge)  A4 
 
CLO5  Demonstrate multiple applications of optical fiber in communication systems, sensing, computer networks and biomedical engineering through experimental practice  PLO4 (Investigation)  C3 
 
LAB EQUIPMENT / APPARATUS 
 
LEDs, Laser Diodes, Optical modulators, Distributedfeedback lasers, Photodiodes, voltage source, fiberbragg grating, WDM training kit, RF signal generator, Oscilloscope, Single Mode Fibers, Fiber Fusion Splicer and fiber preparation tools (for stripping and cleaving), Optical couplers, Optical isolators, Optical resonators, Optical multiplexer and demultiplexer, Optical amplifers, Optisystem, Optosci EDCOM: Fiber optical communications, Optosci EDWDM Trainer kit, Optosci EDNET Trainer kit Others: Optical power meter, power supplies, Optical connectors, optical fiber cleaning tools 
 
PARTICULAR  TOTAL (Tentative) 
Lab Performance  40% 
Open Ended Lab  15% 
Lab Final  45% 
Total  100% 
Textbook(s):
Reference Book(s):
Lab safety:
INSTRUCTIONS FOR STUDENTS
Benchmark: https://creol.ucf.edu/ose4470lfiberopticcommunicationslaboratory/
 ES443L: Laser Engineering (1 CH) 
 
 Lab Instructors  Dr. ABC 
 
 Lab Engineers  Engr. XYZ  ABC@giki.edu.pk 
 
 Lab Hours  Monday (02:30pm to 05:30pm)  Students per workstation  02 
 
 Batch  28  Office  G45  Extension  2719 
 
 SPRING 2021 
 
 LAB OBJECTIVE 
 
 The objective is to experimentally highlight basic laser phenomena (cover photons; emission; laser cavities and modes; laser threshold; laser beams, focusing and collimation; and second harmonic generation), fundamental issues in designing a laser and its engineering applications. The students will get a handson experience in aligning, characterizing, analyzing and applying laser beams. 
 
 LAB CONTENTS 
 
 Gas Laser (CLO1 & CLO2) The objective of this experiment is to understand gas laser (CO_{2}) principles, basic resonator concepts and resonator modes.  Lab 1 
 
 Characterization of Laser Diodes by measuring the output power as a function of pump power for various cavity configurations (CLO1, CLO2 & CLO5) The objective is to practice handling precautions and investigate properties of a laser diode as an “optical pump” and familiarize student with the tool Optosci EDLASE.  Lab 2 
 
 The Solid State Laser (CLO2 & CLO3) This experiment involves spectroscopy of Nd:YAG crystal, evaluation of Diode Pumped Nd:YAG Laser and study of properties of the gain medium, resonator alignment and mode matching.  Lab 3 
 
 Nonlinear frequency conversion (CLO1 & CLO3) The objective of this experiment is to study the property of the nonlinear crystal and the phenomena of intracavity second harmonic generation  Lab 4 
 
 Measurement of effect of intracavity loss and output coupling ratio for a fiber laser (CLO2 and CLO3) The objective is to evaluate the effect of different factors such as intracavity loss and output coupling ratio on key performance indicators such as output power, threshold conditions and slope efficiency. This also involves determination of intracavity loss and finding the optimum coupling ratio using EDLase trainer kit  Lab 5 
 
 Investigation of laser onset time and relaxation oscillations (CLO3 and CLO4) This experiment involves investigation of the upper state lifetime, laser onset time when pump is switched from zero to above threshold and relaxation oscillations in a fiber laser using EDLase  Lab 6 
 
 Pulsed operation of the laser (CLO2 & CLO4) This lab involves settingup experimental setup for direct modulation of the pump laser diode, External cavity modulation and Intracavity modulation (Qswitching)  Lab 7 
 
 Pulsed second harmonic generation (CLO2 & CLO3) The objective is to introduce nonlinear optics by focusing pulsed laser beam to a nonlinear crystal to generate second order hormonics.  Lab 8 
 
 Intensity dependence of the doubled frequency (CLO2 & CLO3) The objective is to characterize beam characteristics of the residual fundamental and second harmonic beams.  Lab 9 
 
EDF ring laser (CLO2 and CLO4) The objective is to investigate the nonlinear wave mixing and observe the spectrum of an erbiumdoped fiber ring laser.  Lab 10  
Nonlinear Frequency Generation (CLO2 & CLO3) The objective is to introduce advanced applications of nonlinear effects and role of polarization  Lab 11  
Industrial applications of Lasers (CLO4 & CLO5) The objective is to learn the use laser for marking and engraving for industrial applications and setup a laser range finder system  Lab 12 
 
CLO’s  Course Learning Outcomes  PLO’s  Bloom Taxonomy 
 
CLO1  To be able to construct an aligned laser cavity and display a laser running on a single transverse mode.  PLO1 (Engineering Knowledge)  P3 
 
CLO2  To be able to identify the characteristics of a laser beam, measure laser power and spectral output, and estimate laser irradiance.  PLO2 (Problem Analysis)  C2 
 
CLO3  To assemble the laser diodepumping setup, display intracavity second harmonic generation phenomena and can sketch the difference between single and multiple spatial mode lasers through experimental work  PLO4 (Investigation)  P4 
 
CLO4  To study the approach for focusing, collimation and endorse safe use of lasers for the environment in developing solution for an engineering problem  PLO3 (Design/Development of Solutions)  A3 
 
CLO5  To be able to employ laser tools (such as Optosci EDLASE) for analysis and operate laser for various industrial applications including cutting, engraving, marking, cleaning and surface treatment.  PLO4 (Investigation)  C3 
 
LAB EQUIPMENT / APPARATUS 
 
CO_{2} Laser source with power supply, slides, Gratings with different number of lines, stage graticule, Optical bench, Convex lens, class IV lasers with an opaque chamber, lasers with different mode of operation, optical chopper, optical beam splitter, mirrors, Optosci EDLASE trainer kit 
 
PARTICULAR  TOTAL (Tentative) 
Lab Performance  40% 
Open Ended Lab  15% 
Lab Final  45% 
Total  100% 
Textbook(s):
Reference Book(s):
Lab safety:
INSTRUCTIONS FOR STUDENTS
Benchmark
https://creol.ucf.edu/ose4520llaserengineeringlaboratory/
 ES443L: Laser Engineering (1 CH) 
 
 Lab Instructors  Dr. ABC 
 
 Lab Engineers  Engr. XYZ  ABC@giki.edu.pk 
 
 Lab Hours  Monday (02:30pm to 05:30pm)  Students per workstation  02 
 
 Batch  28  Office  G45  Extension  2719 
 
 SPRING 2021 
 
 LAB OBJECTIVE 
 
 The objective is to experimentally highlight basic laser phenomena (cover photons; emission; laser cavities and modes; laser threshold; laser beams, focusing and collimation; and second harmonic generation), fundamental issues in designing a laser and its engineering applications. The students will get a handson experience in aligning, characterizing, analyzing and applying laser beams. 
 
 LAB CONTENTS 
 
 Gas Laser (CLO1 & CLO2) The objective of this experiment is to understand gas laser (CO_{2}) principles, basic resonator concepts and resonator modes.  Lab 1 
 
 Characterization of Laser Diodes by measuring the output power as a function of pump power for various cavity configurations (CLO1, CLO2 & CLO5) The objective is to practice handling precautions and investigate properties of a laser diode as an “optical pump” and familiarize student with the tool Optosci EDLASE.  Lab 2 
 
 The Solid State Laser (CLO2 & CLO3) This experiment involves spectroscopy of Nd:YAG crystal, evaluation of Diode Pumped Nd:YAG Laser and study of properties of the gain medium, resonator alignment and mode matching.  Lab 3 
 
 Nonlinear frequency conversion (CLO1 & CLO3) The objective of this experiment is to study the property of the nonlinear crystal and the phenomena of intracavity second harmonic generation  Lab 4 
 
 Measurement of effect of intracavity loss and output coupling ratio for a fiber laser (CLO2 and CLO3) The objective is to evaluate the effect of different factors such as intracavity loss and output coupling ratio on key performance indicators such as output power, threshold conditions and slope efficiency. This also involves determination of intracavity loss and finding the optimum coupling ratio using EDLase trainer kit  Lab 5 
 
 Investigation of laser onset time and relaxation oscillations (CLO3 and CLO4) This experiment involves investigation of the upper state lifetime, laser onset time when pump is switched from zero to above threshold and relaxation oscillations in a fiber laser using EDLase  Lab 6 
 
 Pulsed operation of the laser (CLO2 & CLO4) This lab involves settingup experimental setup for direct modulation of the pump laser diode, External cavity modulation and Intracavity modulation (Qswitching)  Lab 7 
 
 Pulsed second harmonic generation (CLO2 & CLO3) The objective is to introduce nonlinear optics by focusing pulsed laser beam to a nonlinear crystal to generate second order hormonics.  Lab 8 
 
 Intensity dependence of the doubled frequency (CLO2 & CLO3) The objective is to characterize beam characteristics of the residual fundamental and second harmonic beams.  Lab 9 
 
EDF ring laser (CLO2 and CLO4) The objective is to investigate the nonlinear wave mixing and observe the spectrum of an erbiumdoped fiber ring laser.  Lab 10  
Nonlinear Frequency Generation (CLO2 & CLO3) The objective is to introduce advanced applications of nonlinear effects and role of polarization  Lab 11  
Industrial applications of Lasers (CLO4 & CLO5) The objective is to learn the use laser for marking and engraving for industrial applications and setup a laser range finder system  Lab 12 
 
CLO’s  Course Learning Outcomes  PLO’s  Bloom Taxonomy 
 
CLO1  To be able to construct an aligned laser cavity and display a laser running on a single transverse mode.  PLO1 (Engineering Knowledge)  P3 
 
CLO2  To be able to identify the characteristics of a laser beam, measure laser power and spectral output, and estimate laser irradiance.  PLO2 (Problem Analysis)  C2 
 
CLO3  To assemble the laser diodepumping setup, display intracavity second harmonic generation phenomena and can sketch the difference between single and multiple spatial mode lasers through experimental work  PLO4 (Investigation)  P4 
 
CLO4  To study the approach for focusing, collimation and endorse safe use of lasers for the environment in developing solution for an engineering problem  PLO3 (Design/Development of Solutions)  A3 
 
CLO5  To be able to employ laser tools (such as Optosci EDLASE) for analysis and operate laser for various industrial applications including cutting, engraving, marking, cleaning and surface treatment.  PLO4 (Investigation)  C3 
 
LAB EQUIPMENT / APPARATUS 
 
CO_{2} Laser source with power supply, slides, Gratings with different number of lines, stage graticule, Optical bench, Convex lens, class IV lasers with an opaque chamber, lasers with different mode of operation, optical chopper, optical beam splitter, mirrors, Optosci EDLASE trainer kit 
 
PARTICULAR  TOTAL (Tentative) 
Lab Performance  40% 
Open Ended Lab  15% 
Lab Final  45% 
Total  100% 
Textbook(s):
Reference Book(s):
Lab safety:
INSTRUCTIONS FOR STUDENTS
Benchmark
https://creol.ucf.edu/ose4520llaserengineeringlaboratory/
 ES474L: Optoelectronics (1 CH)  
 Lab Instructors  Dr. ABC  
 Lab Engineers  Engr. XYZ  ABC@giki.edu.pk  
 Lab Hours  Monday (02:30pm to 05:30pm)  Students per workstation  02  
 Batch  28  Office  G45  Extension  2719  
 SPRING 2021  
 LAB OBJECTIVE  
 This lab is aim to investigate and obtain a basic specification of semiconductor optoelectronic devices including photodiodes, lightemitting diodes, laser diodes, CCDs. Applications include solar cells, displays, photodetection, and optical communications. The advantages and disadvantages of various types of diodebased photodetectors (APD vs. PIN) and light sources (LEDs vs. lasers) are quantitatively studied in the lab.  
 LAB CONTENTS  
 Characterization of LEDs and Laser Diodes (CLO1, CLO2 & CLO3) The objective is to practice lab safety rules and study Red, green and blue LEDs and Laser diodes in terms of · Lightcurrent characteristics and power efficiency · Subthreshold and above threshold output/emission spectra  Lab 1  
 Advanced operation of LDs (CLO2 & CLO3) The objective of this experiment is further explore the operation of LDs and investigate · Characteristic temperature · Small, largesignal and pulsecode modulation and differential gain  Lab 2  
 Optoelectronic Receivers (CLO1 & CLO3) The experiment involves characterization of various type of Photoconductors and understand the Optoelectronic effect for light detection  Lab 3  
 Optoelectronic numerical displays (I) (CLO2 & CLO3) The objective of this experiment is to characterize LED numerical displays  Lab 4  
 Optoelectronic numerical displays (II) (CLO2 & CLO3) The objective of this experiment is to characterize LCD numerical displays  Lab 5  
 Fabrication and characterization of a Photovoltaic Cell (CLO2 & CLO3) The objective of this experiment is to fabricate and characterize a solar cell and its usage in practical applications such as power generation  Lab 6  
 Freespace Optical transmitter (CLO3 & CLO4) This experiment involves the investigation of optical modulation and measurement of optical output for free space transmission  Lab 7  
 Characterization of Freespace optical channel and receiver (CLO3 & CLO4) This experiment involves the experimental measurements related to freespace channel for an optical signal and its detection using a Quadrant photodiode  Lab 8  
Open Ended Lab (CLO4 & CLO5) Problem given by instructor.  Lab 9 
 
CLO’s  Course Learning Outcomes  PLO’s  Bloom Taxonomy 
 
CLO1  To experimentally assemble various optoelectronic systems, measure their figure of merits by complying with the safety instructions.  PLO1 (Engineering Knowledge)  P3 
 
CLO2  To be able to demonstrate lightcurrent characterization of semiconducting light sources (LEDs and LDs) and discover their emission spectra  PLO4 (Investigation)  C3 
 
CLO3  To be able to analyze advanced specifications (such as modulation bandwidth) of optoelectronic devices and identify them for industrial applications  PLO3 (Design/Development of Solutions)  C4 
 
CLO4  To be able to organize and learn measurement techniques to characterize optoelectronic devices (LED, laser diodes, LCD and photodiodes) in different modes of operation.  PLO4 (Investigation)  P3 
 
CLO5  Contribute to an optoelectronic system based multidisciplinary project consisting of a transmitter and receiver  PLO8 (Ethics)  A3 
 
LAB EQUIPMENT / APPARATUS 
 
LEDs, Laser Diodes, Photodiodes, LCDs, current source, voltage source, solar cells, free space optics setup (beam transmitter, mirrors, beam detector, quadrant photodiode), Oscilloscope Others: Analogue and digital multi meters (ammeter, voltmeters), power supplies 
 
PARTICULAR  TOTAL (Tentative) 
Lab Performance  40% 
Open Ended Lab  15% 
Lab Final  45% 
Total  100% 
Optoelectronics and Photonics: Principles and Practices, S. O. Kasap, 2nd Edition, Pearson, NJ, USA, 2013. ISBN: 9781299924482
Lab safety:
INSTRUCTIONS FOR STUDENTS
Benchmark: https://creol.ucf.edu/ose4410loptoelectronicslaboratory/
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