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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 (27 Jan 2005)
Lectures: There is a corrected version of Luc's slides on stochastical logical programming (SLP).
Exercises:
- We merge both tutorial groups. Participants of Group 1 have to move to Group 2.
- The lecture will be held from 14:15-15:00.
- Tutorial group 2 will be held in English from 15:05-16:00.
Lecture and tutorial group are both held in the lecture hall (building 101, lecture hall 036).
Time
Lectures: Tuesday 16:15-17:45 and Thursday 14:15-15:00
Exercise sessions: Thursday 15:00-15:45
Exam: beginning of April 2005 (to be announced)
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.
Contents
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 at the end of the
semester.
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.
The exercises will be published here on Thursdays.
They are always due on Thursday, 15 o'clock.
Please hand in the solutions to the exercises before the lecture in SR
036 ("Schick-Saal").
Please work on the exercises in groups of 3 students each. Please hand in a
joint solution. It will be corrected until the following Thursday and discussed
in the exercise session.
There is a second regular exercise session: Thursday
13:15-14:00 in the same room (building 101, lecture room 036).