Introduction to AI

Introduction to Artificial Intelligence and its applications towards Knowledge-Based Systems; Introduction to Reasoning and Knowledge Representation, Problem Solving by Searching – Informed searching, Uninformed searching, Heuristics, Local searching, Adversarial Search, Min-max algorithm, Alpha-beta pruning, Game-playing; Case Studies: General Problem Solver, Eliza, Student, Macsyma; Learning from examples; Natural Language Processing; Recent trends in AI and applications, Prolog programming language to explore and illustrate various issues and techniques in Artificial Intelligence.

Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course