Techniques in Artificial Intelligence (IN2062)
Course 240927786 in WS 2013/4
General Data
| Course Type | Lecture w/ Exercise |
|---|---|
| Semester Weekly Hours | 4 SWS |
| Organisational Unit | Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems (Prof. Knoll) |
| Lecturers | |
| Dates |
Thu, 16:00–18:00, Interims I 101 Fri, 12:00–14:00, Interims I 101 and 1 singular or moved dates |
Assignment to Modules
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IN2062: Grundlagen der Künstlichen Intelligenz / Techniques in Artificial Intelligence
This module is included in the following catalogs:- Focus Area Imaging in M.Sc. Biomedical Engineering and Medical Physics
- Catalogue of non-physics elective courses
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | The course gives an overview of application areas and techniques in Artificial Intelligence. The course introduces the principles and techniques of Artificial Intelligence based on the textbook of Russell and Norvig (see below). The course covers the following topics: - design principles and specification mechanisms for rational agents; - problem solving using heuristic search: heuristic search techniques, optimizing search; - problem solving using knowledge-based techniques: logic and inference techniques; reasoning about space and time; representation of ontologies; representation and reasoniong in the common sense world. - problem solving using uncertain knowledge and information: basic concepts of probability and decision theory; Bayesian Networks; planning with Markov decision problems. - action planning: automatic generation of partially ordered action plans; planning and execution - machine learning: learning decision trees; inductive learning; probably approximately correct learning; reinforcement learning. |
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| Links |
Course documents Additional information TUMonline entry |
Equivalent Courses (e. g. in other semesters)
| Semester | Title | Lecturers | Dates |
|---|---|---|---|
| WS 2023/4 | Techniques in Artificial Intelligence (IN2062) | Althoff, M. Külz, J. Lercher, F. Lützow, L. Mair, S. |
Thu, 16:00–18:00, MW 0001 Fri, 13:00–14:30, MW 2001 and singular or moved dates |
| WS 2022/3 | Techniques in Artificial Intelligence (IN2062) | Althoff, M. Gaßner, J. Kulmburg, A. Meyer, E. Würsching, G. |
Thu, 16:00–18:00, MW 0001 Fri, 13:00–14:30, MW 2001 and singular or moved dates |
| WS 2021/2 | Techniques in Artificial Intelligence (IN2062) | Althoff, M. Gaßner, J. Kulmburg, A. Meyer, E. Würsching, G. |
Thu, 16:00–18:00, MW 0001 Fri, 13:00–14:30, MW 2001 |
| WS 2020/1 | Techniques in Artificial Intelligence (IN2062) | Althoff, M. Klischat, M. Mayer, M. Wang, X. |
Thu, 16:00–18:00, virtuell Fri, 13:00–14:30, virtuell Wed, 10:00–12:00, virtuell Thu, 16:00–18:00, virtuell |
| WS 2019/20 | Techniques in Artificial Intelligence (IN2062) | Althoff, M. Klischat, M. Maierhofer, S. Wang, X. |
Thu, 16:00–18:00, MW 0001 Fri, 13:00–14:30, MW 2001 Wed, 10:00–12:00, MI 03.13.010 |
| WS 2018/9 | Techniques in Artificial Intelligence (IN2062) | Althoff, M. |
Wed, 14:00–16:00, MI HS1 Fri, 13:00–14:30, MW 2001 Wed, 11:00–12:00, MI 03.07.023 and singular or moved dates |
| WS 2017/8 | Techniques in Artificial Intelligence (IN2062) | Althoff, M. |
Wed, 14:00–16:00, MI HS1 Fri, 12:45–14:15, MW 0001 and singular or moved dates |
| WS 2016/7 | Techniques in Artificial Intelligence (IN2062) | Althoff, M. |
Wed, 14:00–16:00, MI HS1 Fri, 12:45–14:15, MW 0001 |
| WS 2015/6 | Techniques in Artificial Intelligence (IN2062) |
Wed, 14:00–16:00, MI HS1 Fri, 12:00–14:00, Interims I 101 and singular or moved dates |
|
| WS 2014/5 | Techniques in Artificial Intelligence (IN2062) |
Thu, 16:00–18:00, Interims I 101 Fri, 12:00–14:00, Interims I 101 and singular or moved dates |
|
| WS 2012/3 | Techniques in Artificial Intelligence (IN2062) |