Emre Ugur


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

  • 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.