Course Catalog 2009-2010 International Basic Pori International Postgraduate Open University |Degrees|     |Study blocks|     |Courses|

Person responsible

Tapio Elomaa, Antti Valmari

Implementations

	Lecture times and places	Target group recommended to
Implementation 1	Per 4, 5 : Tuesday 12 - 14, TB214 Thursday 12 - 14, TB219

Requirements

Weekly exercises, course work, and exam
Completion parts must belong to the same implementation

Learning outcomes

The course introduces different areas of artificial intelligence. The content can be adapted according to student interests.

Content

Content	Core content	Complementary knowledge	Specialist knowledge
1.	Logic, knowledge, and reasoning	propositional and first-order logic	knowledge bases
2.	Problem solving and search	heuristic search	algorithm A*
3.	Uncertain knowledge and reasoning	probabilistic reasoning	decision making
4.	Machine learning	learning from observations	statistical learning

Evaluation criteria for the course

Exam, course work, and weekly exercises

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Partial passing:

Completion parts must belong to the same implementation

Study material

Type	Name	Author	ISBN	URL	Edition, availability, ...	Examination material	Language
Book	Artificial Intelligence: A Modern Approach	S. Russell, P. Norvig	0-13-080302-2				English

Prerequisites

Correspondence of content

More precise information per implementation

	Description	Methods of instruction	Implementation
Implementation 1		Lectures Seminar work Excercises Practical works	Contact teaching: 50 % Distance learning: 0 % Self-directed learning: 50 %

Last modified	19.06.2009
Modifier	Tapio Elomaa