703111 Artificial Intelligence
winter semester 2015/2016 | Last update: 12.05.2016 | Place course on memo listGraduates of this module have a solid overview of the main themes and concepts of artificial intelligence. They know and understand different methods and techniques for intelligent system design, and can apply them.
Basic topics of artificial intelligence; Problem solving and search strategies, information and data representation, machine learning, planning, and logical reasoning.
Lecture, assessment is based on a single examination at the end of the course.
Final examination at the end of lecture based on course materials/slides. The test is passed if the total score of at least 50% of the highest score.
Görz et. al. (eds.): Handbuch der Künstlichen Intelligenz, Oldenbourg Verlag, 2000
Luger: Artificial Intelligence – Structures and Strategies for Complex Problem Solving, Addision Wesley, 2005, Fifth edition
No special requirements.
- Faculty of Mathematics, Computer Science and Physics
Group 0
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Date | Time | Location | ||
Mon 2015-10-12
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12.15 - 14.00 | HS 10 HS 10 | Barrier-free | |
Mon 2015-10-19
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12.15 - 14.00 | HS 10 HS 10 | Barrier-free | |
Mon 2015-11-09
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12.15 - 14.00 | HS 10 HS 10 | Barrier-free | |
Mon 2015-11-16
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12.15 - 14.00 | HS 10 HS 10 | Barrier-free | |
Mon 2015-11-23
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12.15 - 14.00 | HS 10 HS 10 | Barrier-free | |
Mon 2015-11-30
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12.15 - 14.00 | HS 10 HS 10 | Barrier-free | |
Mon 2015-12-07
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12.15 - 14.00 | HS 10 HS 10 | Barrier-free | |
Mon 2015-12-14
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12.15 - 14.00 | HS 10 HS 10 | Barrier-free | |
Mon 2016-01-11
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12.15 - 14.00 | HS 10 HS 10 | Barrier-free | |
Mon 2016-01-18
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12.15 - 14.00 | HS 10 HS 10 | Barrier-free | |
Mon 2016-01-25
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12.15 - 14.00 | HS 10 HS 10 | Barrier-free | |
Mon 2016-02-01
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12.15 - 14.00 | HS 10 HS 10 | Barrier-free | |
Tue 2016-04-05
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14.00 - 16.00 | HSB 1 HSB 1 | Barrier-free | 2. Prüfung |
Mon 2016-06-27
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15.15 - 17.00 | HSB 4 HSB 4 | Barrier-free | 3. Termin |