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