Artificial Intelligence (CSC266) — Notes, Syllabus & Past Questions

Introduction to machine learning, search algorithms, and intelligent agents.

Core Course6 Chapters
Chapter 1Past Questions

Introduction

Artificial Intelligence (AI), AI Perspectives: acting and thinking humanly, acting and thinking rationally, History of AI, Foundations of AI, Applications of AI.

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Chapter 2Past Questions

Intelligent Agents

Introduction of agents, Structure of Intelligent agent, Properties of Intelligent Agents, Configuration of Agents, PEAS description of Agents, Types of Agents: Simple Reflexive, Model Based.

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Chapter 3Past Questions

Problem Solving by Searching

Problem as a state space search, Problem formulation, Search Strategies, Uninformed Search: DFS, BFS, DLS, IDS, Bidirectional Search, Informed Search: Greedy Best first, A* search, Hill Climbing.

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Chapter 4Past Questions

Knowledge Representation

Knowledge Representation Systems, Semantic Nets, Frames, Scripts, Rule Based Systems, Propositional Logic, Predicate Logic (FOPL), Inference using Resolution, Backward and Forward Chaining.

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Chapter 5Past Questions

Machine Learning

Introduction to Machine Learning, Supervised, Unsupervised and Reinforcement Learning, Naive Bayes Model, Genetic Algorithm, Neural Networks: Biological vs Artificial, Mathematical Model of ANN.

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Chapter 6Past Questions

Applications of AI

Expert Systems, Development of Expert Systems, Natural Language Processing: NLU and NLG, Steps of NLP, Machine Vision Concepts, Robotics.

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Related Study Resources for Artificial Intelligence (CSC266)

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