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.
2
Intelligent Agents.
Agent design.
Environment Properties.
3
4
Problem formulation.
Search strategies.
5
Un-informed Search strategies.
Breadth-first search.
Uniform-cost search.
6
Uniform-cost search.
Depth-first search.
Depth-limited search.
Iterative deepening search.
Bidirectional search.
7
Informed Search Strategies.
Heuristics.
Best first search Algorithms.
Greedy Search.
A* Search.
Optimality of A* Search Algorithm.
8
Local search Algorithms.
Hill climbing local search.
Genetic Algorithm.
9
Constraint Satisfaction Problems.
Backtracking for CSP.
Improving backtracking efficiency.
10
Needs for Machine Learning.
What is Machine Learning.
Machine Learning Definitions.
Machine Learning Process.
Types of Machine Learning.
Linear Regression.
Simple Demo.