| 13-3-2023 |
1.5 hours |
Definition of AI, approaches to AI, Foundations of AI, History of AI |
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1.5 hours |
Basic component of AI, Identifying AI systems, branches of AI, etc. types of problems addressed. |
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| 20-3-2023 |
1.5 hours |
Discuss various schools of thoughts on artificial intelligence including weak artificial intelligence, strong artificial intelligence, and neat artificial intelligence. |
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1.5 hours |
Applications and Success stories on artificial Intelligence. Discuss the technological singularity and role of artificial intelligence. |
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| 27-3-2023 |
1.5 hours |
Good behavior: the concept of rationality, The nature of environments |
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1.5 hours |
Structure of agents, agent programs, simple reflex agents, model-based reflex agents, goal-based agents, |
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| 3-4-2023 |
1.5 hours |
utility-based agent, learning agents, how the components of agent programs work |
Quiz #1 |
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1.5 hours |
Problem-solving agents, problem formulation, example problems, searching for solutions, Uninformed searching: Breadth-first search, Depth-first search |
Assignment # 1 |
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| 10-4-2023 |
1.5 hours |
Depth-limited search, Iterative deepening depth-first search, Bidirectional search |
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1.5 hours |
Informed searching: Greedy best-first search, A* search, Memory-bounded heuristic search |
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| 17-4-2023 |
1.5 hours |
Heuristics, Local searching, Min-max algorithm, Alpha beta pruning, Game-playing |
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1.5 hours |
Hill climbing algorithm and its variations. Constraint satisfaction problems. |
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| 24-4-2023 |
1.5 hours |
Genetic algorithms |
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1.5 hours |
Belief Networks. Bayesian theorem and its applications. Uncertainty in environment and possibilities for designing intelligent agents that can work in uncertain environments |
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| 1-5-2023 |
1 Hour |
Mid Term |
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| 8-5-2023 |
1.5 hours |
Knowledge Representation Schemas: Logic, propositional logic, first-order logic |
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1.5 hours |
Knowledge Representation: frames, semantic nets, scripts. knowledge graphs |
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| 15-5-2023 |
1.5 hours |
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1.5 hours |
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| 22-5-2023 |
1.5 hours |
Reasoning in logic programming: unification, horn clause logic, and resolution, fuzzy modeling based expert system design and implementation. |
Quiz # 2 |
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1.5 hours |
Problems in knowledge representation. Expert systems |
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| 29-5-2023 |
1.5 hours |
Case Studies: General Problem Solver, Eliza |
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1.5 hours |
Case Studies: Student, Macsyma |
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| 5-6-2023 |
1.5 hours |
Machine Learning: Introduction, unsupervised learning, supervised learning, reinforcement learning, decision trees |
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1.5 hours |
Bayesian classification, artificial neural networks. |
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| 12-6-2023 |
1.5 hours |
Methods to implement machine learning. Neural Networks. Structure and working of human brain. Supervised learning algorithms. |
Assignment # 2 |
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1.5 hours |
Language Models (N-Gram Character Models, Smoothing N-Gram Models, Model Evaluation, N-Gram Word Models), |
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| 19-6-2023 |
1.5 hours |
Text Classification, Information Retrieval, Information Extraction |
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1.5 hours |
Phrase Structure Grammars, Parsing, Augmented Grammars and Semantic Interpretation, |
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| 26-6-2023 |
1.5 hours |
Machine Translation, Speech Recognition |
Quiz #3 |
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1.5 hours |
Image processing, perception generation (object recognition), vision |
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| 3-7-2023 |
2 Hour |
Final Term |
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