Course Objectives
The course introduces the ideas and techniques underlying the principles and design of artificial intelligent systems. The course covers the basics and applications of AI including: design of intelligent agents, problem solving, searching, knowledge representation systems, Expert Systems and fuzzy logic.
Lecture Slides
Course Textbooks
Artificial Intelligence A Guide to Intelligent Systems (3rd Edition) by Michael Negnevitsky
Artificial Intelligence A Modern Approach, Global Edition by Stuart J. Russell, Peter Norvig
Artificial Intelligence Illuminated by Ben Coppin)
Artificial Intelligence. A Systems Approach by M. Tim Jones
Assessment and Grading
Course assessment includes quizzes that will be offered through the course, homework assignments, and two exams - midterm and final.
The final exam is not cumulative. You final grade has four components: class attendance, assignments, quizzes, midterm exam grade, and final exam grade.
1.Class attendance 10%
2.Assignments 30%
3.Midterm Exam 20%
4. Final exam 40%