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Structure Tree
Lecture not found in this Term.
Lecture is in Term
WS 2009/10
, Currentterm: SoSe 2024
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- Functions:
There exists no allocation-period.
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Artificial Intelligence
Sprache: German
application required
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Nr.:
3008
Lecture/Practical training
WS 2009/10
4 Hours per week in term
Every Term
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Additional Links:
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Homepage for the AI-Lecture (with video lectures)
Lehrbuch: Grundkurs Künstliche Intelligenz (W. Ertel)
Textbook: Introduction to Artificial Intelligence
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Master-Studiengang:
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Computer Science
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Curricula
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Computer Science, Abschluss 90,
(
1.
Term )
- ECTS-Points : 5
- Category : mandatory subject
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Responsible Instructor:
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Ertel
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There exists no allocation-period.
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Dates/Times/Location:
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Thursday
11:30
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13:00
weekly
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Lecturing Instructor:
Ertel
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Room :
L 028
Building L
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Thursday
16:00
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17:30
weekly
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Room :
L 028
Building L
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| Comment: |
- Introduction, history
- Intelligent agents
- Search, game playing, problem solving
- Reasoning with uncertainty
- Machine learning and data mining
- Neural networks
- Reinforcement learning
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| Literature: |
* W. Ertel, Grundkurs Künstliche Intelligenz, Vieweg Verlag, 2008
* S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach
* T. Mitchell, Machine Learning
* I. Witten and E. Frank, Data Mining, Hanser Verlag München |
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| Remarks: |
The interaction of a variety of very different sciences such as logics, statistics, neural networks and cognitive science contributes to the particular charm as well as to the particular challenge of this subject. Since it is not possible to cover all these fields in detail within 4 semester hours, the most important course objective is to give students an overview of the field of Artificial Intelligence (AI) with its current widespread ramifications. However, some of the topics will be dealt with in more detail. |
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| Exams accredited: |
M benotet (WS 2009/10) |
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