OHJ-2556 Artificial Intelligence, 6 cr

Prof. Tapio Elomaa

Spring 2011, Jan. 11 - May, 5

Lectures: Tue 12-14 TB219 and Thu 12-14 TB223
Exercise group: Tue 16-18 TC163 M.Sc. Teemu Heinimäki
Programming assignment: M.Sc. Timo Aho
Course exam: Wed. May 11, 2011, 9-12 AM

- News

- General Information

- Lectures

The lectures are based on the textbook:

Russell & Norvig: Artificial Intelligence: A Modern Approach, Third ed., Pearson, 2010.

WeekDatesSlide Numbers Chapters in the Course Book
1 Jan. 11 and 13 1 - 24 1 Introduction, 2 Intelligent Agents
2 Jan. 18 and 20 25 - 58 3 Solving Problems by Searching
3 Jan. 25 and 27 59 - 77 3 & 4 Beyond Classical Search
4 Feb. 1 and 3 78 - 108 4 & 5 Adversarial Search
5 Feb. 8 and 10 109 - 136 7 Logical Agents
6 Feb. 15 and 17 137 - 165 7, 8 First-Order Logic, 9 Inference in First-Order Logic
7 Feb. 22 and 24 166 - 190 9, 13 Quantifying Uncertainty
8 Mar. 8 and 10 191 - 209 13
9 Mar. 15 and 17 210 - 240 14 Probabilistic Reasoning
10 Mar. 22 and 24 241 - 266 14, 16 Making Simple Decisions
11 Mar. 29 and 31 267 - 282 17 Making Complex Decisions
Guest Lecture on Watson
12 Apr. 5 and 7 283 - 302 17, 18 Learning from Examples
13 Apr. 12 and 14 303 - 330 18, 20 Learning Probabilistic Models
14 Apr. 19 and 28 ANN and SVM 18.7, 18.9
Student presentations on Thu Apr. 28
Sindhuja Ranganathan: Data stream mining
Hong Liu: Adaptive data stream mining
Georgy Minaev: Artificial neural nerwork - Artificial life
15 Student presentations on Tue May 3
Arturo García: Emotions in AI
Kira Neubehler: Requirements for natural language processing
Martin Fábry: Multiagent systems
Student presentation on Thu May 5
Abhishekh Gupta, D. Veerendra Kumar: Clustering algorithms

- Weekly Exercises

There is just one exercise session per week. It is concerned with topics that were lectured the previous week. Questions to next week's exercises are published on this page on previous Wednesday.

ExerciseProblems
1 Jan. 25, 2011
2 Feb. 1, 2011
3 Feb. 8, 2011
4 Feb. 15, 2011
5 Feb. 22, 2011
6 Mar. 8, 2011
7 Mar. 15, 2011
8 Mar. 22, 2011
9 Mar. 29, 2011
10 Apr. 5, 2011
11 Apr. 12, 2011
12 Apr. 19, 2011

- Home Work

- Topics

We intend to cover the following chapters from the textbook:

Lecture weekTopic
1 I Artificial Intelligence
1 Introduction
2 Intelligent Agents
2-4 II Problem-solving
3 Solving Problems by Searching
4 Beyond Classical Search
5 Adversarial Search
5-7 III Knowledge, reasoning, and planning
7 Logical Agents
8 First-Order Logic
9 Inference in First-Order Logic
10 Classical Planning
11 Planning and Acting in the Real World
8-10 IV Uncertain knowledge and reasoning
13 Quantifying Uncertainty
14 Probabilistic Reasoning
16 Making Simple Decisions
17 Making Complex Decisions
11-14 V Learning
18 Learning from Examples
19 Knowledge in Learning
20 Learning Probabilistic Models
21 Reinforcement Learning

- Course Grading

- Literature

- Links


May 11, 2011 http://www.cs.tut.fi/~elomaa