- 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

- Earlier course exams: 2011, 2012
- First information on the essay
- Teemu's instructions on essay
- Information on the programming exercise

- A course on programming
(e.g., OHJ-1156
Programming II) is an obligatory prerequisite.

Courses OHJ-2156 Analysis of Algorithms and OHJ-2306 Introduction to Theoretical Computer Science help to follow the lectures and are, thus, recommended prerequisites.

- The lectures are based on the textbook:
Russell & Norvig: Artificial Intelligence: A Modern Approach, Third ed., Pearson, 2010.

Week Dates Slide 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

- We intend to cover the following chapters from the textbook:
Lecture week Topic 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

- Exam (May 23, 2013) maximum 30 points
- Programming exercise (DL: April 28, 2013) maximum 10 points
- Voluntary essay (DL: May 26, 2013) maximum 6 points
- Voluntary presentation on essay topic maximum 4 points

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

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