Faculty Of Engineering Sciences

Undergraduate

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BS in Engineering Science

Introduction

Bachelor of Science in Engineering Sciences is a unique multidisciplinary Engineering Program in Pakistan, duly recognized by the Pakistan Engineering Council. The 4-year engineering degree encompasses some of the most modern fields of engineering, split into two specializations, namely, (i) Photonics and Microelectronics, and (ii) Modeling, Simulation, and Machine Learning. Both areas of concentration require in-depth exposure to both science and engineering. The goal of this program is to develop each student’s ability to think analytically across disciplines and develop a knowledge base well-suited to tackle future technical challenges that will require a thorough understanding of a discipline in the physical sciences combined with engineering. Over the years, Engineering Sciences graduates have gone on to become successful engineers, managers, researchers, and academicians, working in fields such as medical imaging, optical communications, instrumentation, sensors, control, chip design, operations management, data science, artificial intelligence, and software solutions.

The vigorous growth of the photonic industries, lasers, semiconductor and microelectronics, Instrumentation and process control, simulation of systems, data analytics, and machine learning has created a demand for engineers who can completely cope with the present and future demands of the modern industry. Light, in particular, laser, has become the workhorse and the instrument of choice both in research and industry, covering engineering applications from communications to instrumentation. Importance of Semiconductors and Microelectronics continues to grow and the introduction of software-based design of devices as the new “fabless” industry is bringing new opportunities to Pakistan. Simulation and Machine Learning are now the key design and decision-making tools being used across the world.

The graduates of Engineering Sciences will be suitable for industry that is involved not only in production but also in research and development both within the country and abroad. Already, within the country, several organizations are pursuing R&D work and production in engineering field of technologies. At present the main power for such organizations in these fields is either trained or the assistance of foreign consultants is sought. The graduates of this faculty will be well equipped to fill this gap in national expertise and can look forward to highly rewarding careers both locally and globally.

Thrust Areas

The undergraduate program of Faculty of Engineering Sciences is duly accredited under Washington Accord Level-II category of Outcome Based Education (OBE) system by the Pakistan Engineering Council. To complete the degree requirement, students must complete 19 credit hours in one of the specialization fields mentioned below. Students are assigned projects and suitable advanced elective courses to develop expertise in the specialized areas. Students are required to opt for the specialization in the third year (5th Semester) of their undergraduate degree plan. Following are the two specialization streams offered by FES:

  • Photonics and Microelectronics
  • Modeling, Simulation, and Machine Learning

Degree Requirements

A student majoring in Engineering Sciences must complete the following courses (Click here for course details):

(A) General Education Requirements (52 Credit Hours)
Course Title Course Code Credit Hours
Basic Engineering MM101, MM141, CH161, IF101, IF102 06
Computing CS101, CS101L, CS112, CS112L 07
English Language PH101, PH102, PH101L, PH102L 06
Humanities HM211, HM321, HM322 09
Mathematics MT101, MT102, ES111, MT202, MT203, ES304 18
Sciences PH101, PH101L, CH101 06
(B) Core Requirements (50 Credit Hours)
Course Title Course Code Credit Hours
Circuit Analysis I ES211/EE211 3
Circuit Analysis Lab ES211L/EE211L 1
Logic Design ES212/EE221 3
Logic Design Lab ES212L/ES221L 1
Computer Architecture ES213/EE222 3
Computer Architecture Lab ES213L/EE222L 1
Circuit Analysis II ES214/EE212 3
Data Structures and Algorithms ES221/CS221 3
Electronics I ES231/EE231 3
Electronics I Lab ES231L/EE231L 1
Thermodynamics ES232/ME231 3
Microprocessor Systems and Interfacing S314/EE221/CE324 3
Microprocessor Systems and Interfacing Lab ES314L/EE221L 1
Signals and Systems ES332/CS341 3
Signals and Systems Lab ES332L/CS341L 1
Numerical Analysis ES341 3
Numerical Analysis Lab ES341L 1
Engineering Electromagnetics ES371 3
Instrumentation ES322/EE213/ME202 3
Instrumentation Lab ES322L/EE213L/ME243L 1
Senior Design Project Part-I and II ES481/ES482 6

 

(C) Specialization Requirement (19 Credit Hours)

  1. Photonics and Microelectronics
Course Title Course Code Credit Hours
Foundations of Photonics ES323 3
Foundations of Photonics Lab ES323L 1
Solid State Electronics ES361 3
Solid State Electronics Lab ES361L 1
Optoelectronics ES474 3
Optoelectronics Lab ES474L 1
Fiber-Optic Communications ES425 3
Fiber-Optic Communications Lab ES425L 1
VLSI Design ES426 3
  1. Modeling, Simulation, and Machine Learning
Course Title Course Code Credit Hours
Discrete System Modeling and Simulation ES324 3
Discrete System Modeling and Simulation Lab ES324L 1
Advanced Statistics ES325 3
Model Engineering ES471 3
Model Engineering Lab ES471L 1
Engineering Optimization ES441 3
Engineering Optimization Lab ES441L 1
Machine Learning ES442 3
Machine Learning Lab ES442L 1

(D) Specialization Technical Electives (06 Credit Hours)

  1. Photonics and Microelectronics (Any Two)
Course Title Course Code Credit Hours
Laser Engineering ES443 3
Geometric Optics ES444 3
Biophotonics ES445 3
Imaging & Displays ES461 3
Semiconductor Devices and Applications ES465 3
Introduction to ASIC Design EE422 3
Digital Integrated Circuit Design EE423 3
Materials Characterization MM494 3
lectronic and Magnetic Materials ES463/MM393 3
Nanomaterials and Nanotechnology ES462/MM391 3
Nanotechnology for Energy MM499 3
Microelectronics Manufacturing Engineering ES466 3
Nanosystems and Devices MM495 3
  1. Modeling, Simulation, and Machine Learning (Any Two)
Course Title Course Code Credit Hours
Analysis for Modeling and Simulation ES467 3
Heat Transfer and Modeling ES446 3
Financial Engineering Models ES447 3
Data Science CS439 3
Big Data Analytics DS461 3
Web Mining and Social Media Analysis CS438 3
Web Engineering CS463 3
Computer Graphics CS433 3
Cloud Computing AI408 3
Introduction to Mobile Computing AI426 3
Cyber Security CS420 3
Block Chain CS411 3
Bio-Inspired Computing CS472 3
Medical Image Processing AI420 3
Computational Biology CS476 3
Business and Economic Forecasting MS446 3
Investment and Portfolio Management AF453 3
Financial Risk Management AF454 3
Business Logistics Strategy SC462 3

(E) Management Electives (Any Two) (06 Credit Hours)

Course Title Course Code Credit Hours
Operations Management MS492 3
Industrial Safety MS493 3
Total Quality Management MS494 3
Maintenance Management S495 3
Project Management MS496 3
Technology Management MS426 3
Industrial Management MS449 3
Supply Chain Management MS491 3
Accounting and Finance MS447 3

Apart from the recommended list above, any other management course MS4XX may be chosen with the consultation of the advisor.

(F) Inter-Faculty Electives (03 Credit Hours) These electives have to be chosen from faculties other than that of Engineering Sciences with the consultation of the advisor.

(G) Summer Training/4-8 Weeks Internship (Pass/Fail Grade; Nil Credits) Every student is required to participate in a program of practical training in industry or an R&D organization and submit a formal written report during the summer of Junior Year.

(H) Total Credit Requirements (136 Credit Hours) For the BS degree in Engineering Sciences a student is required to complete 136 credit hours .