DM533 – Introduction to Artificial Intelligence

Schedule

Autumn 2009, second quarter:
Tuesday 16.00-17.45 in IMADA Seminarrum
Thursday 16.00-17.45 in IMADA Seminarrum
First lecture: November 3, 2009.

Topics

Lec. Date Topic Slides Literature and Assignments
0. 04.05.2009 Course Presentation 2x2
1. 03.11.2009 Introduction + Intelligent Agents 2x2 [A1, B1, chp. 1, 2] [Python] [Assignment 0]
2. 05.11.2009 Uninformed Search 2x2 [B1, chp. 3]
3. 10.11.2009 Informed Search see previous [B1, chp. 4, 5]
4. 12.11.2009 Games and Adversarial Search 2x2 [B1, chp. 6]
5. 17.11.2009 Propositional Logic and inference in PL 2x2 [B1, chp. 7] [Assignment 1]
6. 19.11.2009 First Order Logic 2x2 [B1, chp. 8, sec. 10.3] [Python]
7. 24.11.2009 Inference in FOL and Logic Programming 2x2 [B1, chp. 9]
8. 26.11.2009 Uncertainty: Probability Theory 2x2 [B1, chp. 13]
9. 01.12.2009 Baysian Networks, Inference in BNN 2x2 [B1, chp. 13,14]
10. 03.12.2009 Inference in BNN 1x1 2x2 [B1, chp. 14 sec. 1,2,3,4,5] [Assignment 2]
11. 08.12.2009 Hidden Markov Models and Supervised Learning 1x1 2x2 [chp. 15 sec.1,2,3] [B1, chp. 18]
12. 10.12.2009 Decision Trees 1x1 2x2 [B1, chp. 18]
13. 15.12.2009 Statistical Learning 1x1 2x2 [B1, chp. 20] [Assignment 3]
14. 17.12.2009 Neural Networks 1x1 2x2 [B1, chp. 20]

Course Material

Books

  • [B1] S. Russell and P. Norvig. Artificial Intelligence: A Modern Approach. Prentice Hall, 2003

Articles

Links

Assignments

Code

Aima Python code with corrections for passing tests

Exam

Written Exam: Monday, January 4, 2010

Course Evaluation