Artificial-Intelligence-and-Expert-System

All the materials(notes, slide, handouts, books, code), you will find in the course home page.

Course Home

- Mid Term

+ Lecture 1: Chapter 1 -- Introduction
+ Lecture 2: Chapter 2 -- Intelligent Agents
+ Lecture 3: Chapter 3 -- Solving Problems by Searching: 3.1 Problem-Solving Agents, 3.2 Example Problems
+ Lecture 4: Chapter 4 -- Solving Problems by Searching: 3.3 Searching for Solutions, 3.4 Uninformed Search Strategies
+ Lecture 5: Chapter 5 -- Solving Problems by Searching: 3.5 Informed (Heuristic) Search Strategies, 3.6 Heuristic Functions
+ Lecture 6: Chapter 4 -- Beyond Classical Search: 4.1 Local Search Algorithms and Optimization Problems(Hill-climbing Search, Simulated Annealing, Local Beam Search.)

- Final Term

+ Lecture 7: Chapter 4 -- Beyond Classical Search: 4.1.4 Genetic algorithms
+ Lecture 8: Chapter 5 -- Adversarial Search
+ Lecture 9: Chapter 6 -- Constraint Satisfaction Problems
+ Lecture 10: Chapter 13 -- Quantifying Uncertainty
+ Lecture 11: Chapter 14 -- Probabilistic Reasoning
+ Lecture 12: Chapter 19 -- Artificial Neural Networks