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Advanced AI Techniques - Overview

Lecturers: Prof. Dr. Wolfram Burgard, Prof. Dr. Luc De Raedt, Prof. Dr. Bernhard Nebel and Prof. Dr. Lars Schmidt-Thieme

Exercises: Alexander Scivos

NEWS (16 Feb 2006)

Exercises: The lecture has ended. The last tutorial will be in the second lecture hour, on Tuesday, Feb. 14.

Here will be published an extra exercise sheet at the beginning of March which will be a good preparation for the exam

Exam: The exam took place on Tue, April 4, 10:00 - 12:00 in the mensa building, ground floor, with 8 participants. Although correction already started, it will take until after Easter for us to have all Profs involved to check the marking. Please be patient.

Basic Information

Lectures: Will start on Oct 28th with an introductory lecture. The lectures are divided into 4 parts of approximately four weeks duration each (see below). Each instructor teaches one part. There will be more detailed information during the first (introductory) lecture on Friday, Oct 28 th.
The first topic starts on Nov. 4th, 9:15-11:00 (Lars Schmidt-Thieme, Bayesian Networks)

Recordings: All lectures shall be recorded. All recordings are accessible from the recordings page.

Exercises: There will be no tutorial this Friday as it was already held on Tuesday this week.

Time

Lectures: Tuesday 16:15-17:45 and Friday 9:15-10:00
Exercise sessions: Friday 10:00-11:00
Exam: Tue, 4 April 2006 10:00 - 12:00 mensa building, ground floor

Location

Lectures and Exercise sessions: Room 00-036 in building 101

Language

Lectures, slides, assignments and the exam will be in English.
Participants may ask questions and write down their exercise and exam results in English or German.

This course covers some of the topics that are left out or are only scratched on the surface in the "Foundations of Artificial Intelligence" course:

Modelling and reasoning with Bayesian networks.
Probabilistic approaches to natural language understanding.
Probabilistic approaches in robotics.
Game-theoretic approaches to multi-agent systems.

Each of these topics will be covered in roughly four weeks.

Prerequisites

This course is targetted at advanced students (second half of the "Diplom" degree, ACS). Participants are expected to have knowledge in AI as taught in the "Foundations of Artificial Intelligence" course.

Exam and Assignments

In order to obtain a "benoteten Schein" or credit points (as applicable), participants are required to pass a written exam on April 4, from 10:00 - 12:00 in the mensa building.
The course is worth six credit points.

Exercises

In addition to the exam, there will be weekly theoretical assignments and exercise sessions. Students are encouraged to actively participate in these in order to further their understanding of the course material.
Probably, we will follow the following procedure, but this is not a final decision yet: The exercises will be published here on Wednesdays. They are always due on Tuesday, 16:15 o'clock. Please hand in the solutions to the exercises before the lecture. Please work on the exercises in groups of 3 students each. Please hand in a joint solution. It will be corrected until the following Friday and discussed in the exercise session. The last tutorial is on Tue, Feb. 14 - there is no turorial on Friday, Feb. 17