CST401 ARTIFICIAL INTELLIGENCE- 2019 Scheme

Syllabus

Module – 1 (Introduction)
Introduction – What is Artificial Intelligence(AI) ? The Foundations of AI, History of AI,
Applications of AI. Intelligent Agents – Agents and Environments, Good behavior: The concept of rationality, nature of Environments, Structure of Agents.

Module – 2 (Problem Solving)
Solving Problems by searching-Problem solving Agents, Example problems, Searching for
solutions, Uninformed search strategies, Informed search strategies, Heuristic functions.

Module – 3 (Search in Complex environments)
Adversarial search – Games, Optimal decisions in games, The Minimax algorithm, Alpha-Beta pruning. Constraint Satisfaction Problems – Defining CSP, Constraint Propagation- inference in CSPs, Backtracking search for CSPs, Structure of CSP problems.

Module – 4 (Knowledge Representation and Reasoning)
Logical Agents – Knowledge based agents, Logic, Propositional Logic, Propositional Theorem proving, Agents based on Propositional Logic. First Order Predicate Logic – Syntax and Semantics of First Order Logic, Using First Order Logic, Knowledge representation in First Order Logic. Inference in First Order Logic – Propositional Vs First Order inference, Unification and Lifting, Forward chaining, Backward chaining, Resolution.

Module – 5 (Machine Learning)
Learning from Examples – Forms of Learning, Supervised Learning, Learning Decision Trees,
Evaluating and choosing the best hypothesis, Regression and classification with Linear
models.

Text Book

1. Stuart Russell and Peter Norvig. Artificial Intelligence: A Modern Approach, 3rd Edition.
   Prentice Hall.

Check out my Youtube Channel

Order my book based entirely on this syllabus

Important Topics to Study(Exam Special PPT)