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Foundations of Artificial Intelligence - Overview

Lecturers: Prof. Dr. Wolfram Burgard, Prof. Dr. Bernhard Nebel and Dr. Andreas Karwath

Assistants: Barbara Frank and Dr. Gabriele Röger

Time

Lectures: Tuesday, 9:15-11:00 and Friday 9:15-10:00.
Exercise sessions: Four groups Friday, 10:15-11:00
Exam: Tuesday, September 29, 2009, 14:00-16:00.
Post-exam review: Friday, Oktober 23, 2009, 9:30-11:00.

Locations

Lectures: Building 101, Room 00-026.
Exercise sessions: Building 101, Rooms 00-026, 00-010/14 ,01-009/13 and Building 052, Room 02-017.
Exam: Building 101, Rooms 00-026 and 00-036.
Post-exam review: Building 79, Seminar room.

Credit Points

6 ECTS points

Aims of the lecture

The participants should get an overview of the different techniques used in Artificial Intelligence.

Contents of the lecture

This course will introduce basic concepts and techniques used within the field of Artificial Intelligence. Among other topics, we will discuss:

Introduction to and history of Artificial Intelligence
Agents
Problem solving and search
Logic and knowledge representation
Planning
Representation of and reasoning under uncertainty
Machine learning

Exam

There will be a written exam after the lecture. Bonus points for the exam can be obtained by working on the exercise sheets and presenting at least one solution in an exercise session.

Bibliography

Stuart Russell and Peter Norvig: Artificial Intelligence, A Modern Approach.