Artificial Intelligence-1-2021

AI course (CS-324P) for 3rd year students, Computer Science Department, Faculty of Computers and Information,Mansoura University, Egypt.

Day	Lecture Objectives	Lecture Materials
1	Course Outlines. Course Projects Requirements. Why AI?. History of AI. Turing Test. AI vs. ML vs. DL. Agent/Rational Agent.	Lecture 1 Lecture 1 Video
2	Intelligent Agents. Agent design. Environment Properties.	Lecture 2 Lecture 2 Video
3	Agents Types.	Lecture 3 Lecture 3 Video
4	Problem formulation. Search strategies.	Lecture 4 Lecture 4 Video
5	Un-informed Search strategies. Breadth-first search. Uniform-cost search.	Lecture 5 Lecture 5 Video
6	Uniform-cost search. Depth-first search. Depth-limited search. Iterative deepening search. Bidirectional search.	Lecture 6 Lecture 6 Video
7	Informed Search Strategies. Heuristics. Best first search Algorithms. Greedy Search. A* Search. Optimality of A* Search Algorithm.	Lecture 7 Lecture 7 Video
8	Local search Algorithms. Hill climbing local search. Genetic Algorithm.	Lecture 8 Lecture 8 Video Part 1 Lecture 8 Video Part 2 Lecture 8 Video Part 3
9	Constraint Satisfaction Problems. Backtracking for CSP. Improving backtracking efficiency.	Lecture 9 Lecture 9 Video Part 1 Lecture 9 Video Part 2 Lecture 9 Video Part 3
10	Needs for Machine Learning. What is Machine Learning. Machine Learning Definitions. Machine Learning Process. Types of Machine Learning. Linear Regression. Simple Demo.	Lecture 10 Lecture 10 Video Part 1 Lecture 10 Video Part 2 Lecture 10 Video Part 3 Lecture 10 Video Part 4