Course name (ID): Artificial Inteliigence (MC4112)

Description: Artificial Intelligence (AI) technologies are entering the mainstream of technological innovation. These technologies include search, machine learning, natural language processing, robotics and computer vision.

Course objective:

The primary objective of this course is to introduce the basic principles, techniques, and applications of Artificial Intelligence. Projects are assigned to encourage a practical method for comprehension, along with providing a stimulating path for investigation and innovation.

• Gain a historical perspective of AI and its foundations
• Become familiar with basic principles of AI toward problem solving, inference, perception, knowledge representation, and learning.
• Investigate applications of AI techniques in intelligent agents, expert systems, artificial neural networks and other machine learning models.
• Experiment with a machine learning model for simulation and analysis.

Prerequisites:

A background in basic mathematics including:

• Programming skills in a high-level language
• Basic probability and statistics
• Linear Algebra
• Calculus
• Data structure and Algorithms

Lecture slides and readings:

Topic	Recommended Readings	Lecture Slides
Introduction to AI	UNIT-1: Fundamentals, History, Application of AI	Fundamantals of AI
Problem Solving and Searching	UNIT-2: Chapter-1 and Chapter-2 (from AIMA )	Chapter-1a     Chapter-2a Chapter-2b
Searching and Local Search	UNIT-2: Chapter-3 (from AIMA)	Chapter-3a     Chapter-3b Chapter-3c     Chapter-4
Constraint Satisfaction Problems	UNIT-3: Chapter - 6 (from AIMA)	Chapter-6     Map/Node coloring and Crypto puzzle
Propositional Logic and First Order Logic	UNIT-3	Propositional Logic and First Order Logic or Predicate Logic
Perceptron, MLP, ANN, Genetic Algorithm, Planning	UNIT-4	Artifical Neural Networks, MLP, Genetic Algorithms, Planning

Handouts of uninformed search and informed search.

Textbooks and Reference Materials:

• S.J. Russell & P. Norvig, Artificial Intelligence: A modern Approach ( AIMA ), 4th edition, Pearson, 2022
• Nils J. Nilsson, Artificial Intelligence: A new Synthesis, 1stEdition, Elsevier, 1997
• P.H Winston, Artificial Intelligence, 3rd edition, Addison Wesley, 2011.
• E Rich &K Knight, Artificial Intelligence, McGraw Hill Education; 3rd Edition, 2017.