Emre Ugur
Ph.D.
CMPE480 Introduction to Artificial Intelligence
MTT 412
Aim: General problem solving methods in artificial intelligence. Search methods. Production systems. Games and heuristics. Knowledge representation. Artificial Intelligence Languages.
Text Book: Russell and Norvig, Artificial Intelligence: A Modern Approach, 3rd ed.
Lecture slides: Available at the course page.
Instructor: Emre Ugur (contact)
Mailing-list: Please send email if you are not registered!
Schedule (subject to change):
| Agents & Uninformed search | Slides | |
| A* search, heuristics; local search; search-based agents | Slides | |
| Genetic Algorithms, Game playing, constraint satisfaction problems | Slides | |
| Propositional logic: semantics and inference; logical agents | Slides | |
| First-order logic (FOL) | Slides | |
| Inference in FOL, PDDL | Slides | |
| Midterm 1 | ||
| Probability | Slides | |
| Bayes nets, inference | Slides | |
| Prob, Bayes nets edited slides | Slides | |
| Bayes nets, Variable Elimination, Approximate Inference | Slides, Edited Slides | |
| Inference in Markov Models | Slides | |
| Intro to Machine Learning | Slides | |
| Advanced Topics: Robotics and Deep Learning |
Grading:
- Quizzes and in-class participation: 30%
- Homeworks: 30%
- Midterm: 20%
- Final: 20%
Cheating: Any sharing or copying will be considered as cheating. Please do not cheat! See CMPE procedures for cheating behavior.