OHJ-2556 Artificial Intelligence, 6 cr

Prof. Tapio Elomaa

Spring 2012, Jan. 10 - May, 10

Lectures: Tue 12-14 TB219 and Thu 12-14 TB223
Exercise group: M.Sc. Teemu Heinimäki (Tue 14-14 TC133 and) Wed 14-16 TC128
Course exam: Mon May 21, 2012, 9-12

- 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. 10 and 12 1 - 36 1 Introduction, 2 Intelligent Agents
2 Jan. 17 and 19 37 - 65 3 Solving Problems by Searching
3 Jan. 24 and 26 66 - 101 4 Beyond Classical Search, 5 Adversarial Search
4 Jan. 31 and Feb. 2 103 - 134 7 Logical Agents
5 Feb. 7 and 9 135 - 164 7, 8 First-Order Logic, 9 Inference in First-Order Logic
6 Feb. 14 and 16 165 - 190 9, 13 Quantifying Uncertainty
7 Feb. 21 and 23 191 - 218 13, 14 Probabilistic Reasoning
8 Feb. 28 and Mar. 1 219 - 252 14
9 Mar. 13 and 15 253 - 281 16 Making Simple Decisions, 17 Making Complex Decisions
10 Mar. 20 and 22 282 - 303 17, 18 Learning from Examples
11 Mar. 27 and 29 304 - 326 18.4, 18.5
12 Apr. 3 and 12 327 - 348 18.6 - 18.8
13 Apr. 17 and 19 349 - 374 18.9, 18.10, 20 Learning Probabilistic Models
14 Apr. 24 and 26 375 - 405 20, 21 Reinforcement Learning
15 May 3 Student presentations:
- Egor Goloshchapov & Alex Fedorov
- Oski Kervinen
- Matus Varacka, Radek Los, Michael Horak, & Antoine Smolders
16 May 8 and 10 Student presentations
- Sanjeev P.C., Bishwa prasad subedi, Trailokya Raj ojha
- Tomi Äijö
- Praveen Manandhar

- Weekly Exercises

There are two exercise sessions per week. They are concerned with topics that were lectured the previous week.
Questions to next week's exercises are published on this page on previous Wednesday the latest.

You should answer the questions by yourself in advance.
The "correct" answer is checked at the excercise session.
Be prepared to tell your answer to the other students.

ExerciseProblems
1 Jan. 24-25, 2012
2 Jan. 31-Feb. 1, 2012
3 Feb. 7-8, 2012
4 Feb. 14-15, 2012
5 Feb. 21-22, 2012
6 Feb. 28-29, 2012
7 Mar. 14, 2012
8 Mar. 21, 2012
9 Mar. 28, 2011
10 Apr. 4, 2012
11 Apr. 18, 2012
12 Apr. 25, 2012

- 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
6 Constraint Satisfaction Problems
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 8, 2012 http://www.cs.tut.fi/~elomaa