Course Plan

Course Code: CS 5109

Course Name: Artificial Intelligence

Semester:  Second Semester (Core) - M.Tech. (CSE)

L-T-P-C: 3-0-0-3

Date of Starting:: Jan 09, 2026

Course Faculty:
Dr. Partha Pakray
Associate Professor
Department of Computer Scienc & Engineering
National Institute of Technology Silchar, Assam, INDIA

Text Books:
1. Artificial Intelligence - Rich, Knight (TMH)
2. Principles of Artificial Intelligence - Nilson N. J. (Narosa)
3. Paradigms of AI programming - Norvig P. (Elsevier)
4. Introduction to Expert System - Jackson P. (Addison-Wesley)

Course Plan/ Lecture Plan

Course Plan
UNIT	Descriptions	Lecture Hours	Week	CO
Unit-1	Introduction: Introduction and techniques of AI, Importance of AI	3	Week 1	CO-1
	Agents and rationality, task environments, agent architecture, Application of AI.	3	Week 2	CO-1
Unit-2	Search strategies: Search space, Uninformed Search technique,	3	Week 3	CO-2
	Bread First Search, Depth First search, Informed Search, Heuristic Search technique, constraint satisfaction problems, stochastic search methods,			CO-2
	Hill climbing, backtracking, graph search, A* algorithm, monotone restriction, production systems,	3	Week 4	CO-2
	AO* algorithm	3	Week 5	CO-2
	Searching game trees: MINIMAX procedure, alpha-beta pruning.			CO-2
Unit-3	Knowledge representation: Knowledge representation and reasoning,	3	Week 6	CO-2
	Propositional logic, First Order logic, Situation calculus, and backward chaining.	3	Week 7	CO-2
	Theorem Proving in First Order Logic, Resolution Tree	3	Week 8	CO-2
	Theorem Proving in First Order Logic, Resolution Tree	3	Week 9	CO-2
	STRIPS robot problem solving system, Structured representations of knowledge (Semantic Nets, Frames, Scripts), Rule based representations, forward			CO-3
Unit-4	Uncertain Knowledge and Reasoning: Non monotonic & monotonic reasoning	3	Week 10	CO-2
	Confidence factors, Bayes theorem,	3	Week 11	CO-2
	Dempster & Shafers Theory of evidence, Probabilistic inference, Fuzzy reasoning			CO-2
Unit-5	Application: AI in Natural Language Processing and Understanding,	3	Week 12	CO-3
	Ecommerce, E-tourism, Industry, Healthcare, vision and Robotics	3	Week 13	CO-3
Discussion		1	Week 14
Total		40

 

Course Outcome (CO):

After completion of this course, the students are expected to     
    1. Student will demonstrate knowledge of the building blocks of AI. 
    2. Ability to apply Artificial Intelligence techniques for problem solving.
    3. Student will participate in the design of systems by applying knowledge representation, reasoning techniques to real-world problems that act intelligently and learn from AI experience.

 

Class Notes & PPTs

1. - PPT