OHJ-2556 Artificial Intelligence, 6 cr

Prof. Tapio Elomaa

Spring 2013, Jan. 8 - May, 7

Lectures: Tue 12-14 TB219 and Thu 12-14 TB223
Exercises: M.Sc. Teemu Heinimäki
Course exam: Thu May 23, 2013

- 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. 8 and 10 1, 21 - 47 1 Introduction, 2 Intelligent Agents
2 Jan. 15 and 17 48 - 81 3 Solving Problems by Searching
3 Jan. 22 and 24 82 - 115 4 Beyond Classical Search, 5 Adversarial Search
4 Jan. 29 and 31 116 - 140 7 Logical Agents
5 Feb. 5 and 7 141 - 170 7, 8 First-Order Logic
6 Feb. 12 and 14 171 - 206 9 Inference in First-Order Logic, 13 Quantifying Uncertainty
7 Feb. 19 and 21 207 - 227 13
8 Feb. 26 and 28 228 - 267 14 Probabilistic Reasoning
9 Mar. 12 Teemu's slides on Watson
Mar. 14 268 - 284 14, 16 Making Simple Decisions
10 Mar. 19 and 21 285 - 324 17 Making Complex Decisions, 18 Learning from Examples
11 Mar. 26 325 - 335 18.3 Learning Decision Trees
Apr. 4 336 - 351 18.4 - 18.5
12 Apr. 9 and 11 352 - 380 18.6 - 18.8
13 Apr. 16 and 18 381 - 412 18.9, 18.10, 20 Learning Probabilistic Models
14 Apr. 23 and 25 413 - 440 20, 21 Reinforcement Learning
15 May 2 Student presentations:
- Davide La Croce
16 May 7 - Jianing Wang
- Pierre-Alain Thiout
- Romanic Thiam

- 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 7, 2013 http://www.cs.tut.fi/~elomaa