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Artificial Intelligence. Instructors: Prof. Anupam Basu and Prof. Sudeshna Sarkar, Department of Computer Science and Engineering, IIT Kharagpur.
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English [CC]
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Description
The course will cover basic ideas and techniques underlying the design of intelligent computer systems. Topics include: Introduction to AI and intelligent agents; Solving problems by searching, heuristic search techniques, constraint satisfaction problems, stochastic search methods; Knowledge and reasoning: propositional logic, first order logic, situation calculus; Theorem proving in first order logic; Planning, partial order planning; Uncertain knowledge and reasoning; Learning: overview of different forms of learning, learning decision trees, neural networks; Introduction to natural language processing. (from nptel.ac.in)
Course content
- Lecture 01 – Introduction to Artificial Intelligence Unlimited
- Lecture 02 – Intelligent Agents Unlimited
- Lecture 03 – State Space Search Unlimited
- Lecture 04 – Uninformed Search: Depth First Search, Breadth First Search Unlimited
- Lecture 05 – Informed Search: Heuristics – A*, Greedy Search, Uniform-Cost Search Unlimited
- Lecture 06 – Informed Search: A* Search, Iterative-Deepening A* Unlimited
- Lecture 07 – Two Player Games: Game Tree Search Unlimited
- Lecture 08 – Two Player Games: Game Tree Search (cont.) Unlimited
- Lecture 09 – Constraint Satisfaction Problems Unlimited
- Lecture 10 – Constraint Satisfaction Problems (cont.) Unlimited
- Lecture 11 – Knowledge Representation and Logic: Propositional Logic Unlimited
- Lecture 12 – Interface in Propositional Logic Unlimited
- Lecture 13 – First Order Logic Unlimited
- Lecture 14 – Reasoning using First Order Logic Unlimited
- Lecture 15 – Resolution in First Order Predicate Logic Unlimited
- Lecture 16 – Rule Based Systems Unlimited
- Lecture 17 – Rule Based Systems (cont.) Unlimited
- Lecture 18 – Semantic Net Unlimited
- Lecture 19 – Reasoning in Semantic Net Unlimited
- Lecture 20 – Frames Unlimited
- Lecture 21 – Introduction to Planning Problems Unlimited
- Lecture 22 – Planning: Forward Search, Backward Search, Strips Planning Unlimited
- Lecture 23 – Planning: Partial Order Planning (cont.) Unlimited
- Lecture 24 – Planning Graph and Graphplan Algorithm Unlimited
- Lecture 25 – Rule Based Expert System Unlimited
- Lecture 26 – Reasoning with Uncertainty: Certainty Factors Unlimited
- Lecture 27 – Reasoning with Uncertainty: Certainty Factors (cont.) Unlimited
- Lecture 28 – Reasoning with Uncertainty: Basics of Probability Theory Unlimited
- Lecture 29 – Reasoning with Uncertainty: Bayes’ Rule, Belief Network Unlimited
- Lecture 30 – Fuzzy Reasoning: Fuzzy Logic, Fuzzy Sets Unlimited
- Lecture 31 – Fuzzy Reasoning: Fuzzy Sets (cont.) Unlimited
- Lecture 32 – Introduction to Learning – Definition of Machine Learning, Concept Learning Unlimited
- Lecture 33 – Introduction to Learning – The Problem of Concept Learning Unlimited
- Lecture 34 – Rule Induction and Decision Trees I Unlimited
- Lecture 35 – Rule Induction and Decision Trees II Unlimited
- Lecture 36 – Learning using Neural Networks I Unlimited
- Lecture 37 – Learning using Neural Networks II Unlimited
- Lecture 38 – Probabilistic Learning Unlimited
- Lecture 39 – Natural Language Processing I Unlimited
- Lecture 40 – Natural Language Processing II Unlimited
Instructor
