Cognitive Systems
Module IN2222
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
Basic Information
IN2222 is a semester module in English language at Master’s level which is offered in summer semester.
This Module is included in the following catalogues within the study programs in physics.
- Catalogue of non-physics elective courses
| Total workload | Contact hours | Credits (ECTS) |
|---|---|---|
| 150 h | 60 h | 5 CP |
Content, Learning Outcome and Preconditions
Content
Basic concepts (perception - cognition - action), transfer of cognitive skills (sensors, algorithms, behaviour patterns), study of prototypes of existing systems available at TUM.
Learning Outcome
Upon successful completion of the module, students understand fundamental principles of human cognition and are able to transfer to technical systems. They are able to apply these mathematical and algorithmic methods to obtain cognitive qualities in technical systems, especially in the area of robotics. These methods include architectures for cognitive systems, knowledge representation and reasoning, handling of uncertain knowledge, perception, planning, and action execution.
Preconditions
no info
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
| Type | SWS | Title | Lecturer(s) | Dates | Links |
|---|---|---|---|---|---|
| VO | 3 | Cognitive Systems (IN2222) |
Learning and Teaching Methods
Basic terms and concepts of the subject area are introduced in the lecture with presentation slides and discussed on the basis of examples. During the exercise, the acquired knowledge will be deepened by studying and discussing the contents of conference papers and professional articles. In addition, relevant tools for the implementation of the concepts presented will be presented interactively and applied to typical tasks.
Media
Slide show, blackboard, online programming experiments, animations
Literature
- VERNON, David. Artificial cognitive systems: A primer. MIT Press, 2014.
- WILSON, Robert Andrew; KEIL, Frank C. (Hg.). The MIT encyclopedia of the cognitive sciences. MIT press, 2001.
- GERSTNER, Wulfram; KISTLER, Werner M. Spiking neuron models: Single neurons, populations, plasticity. Cambridge University Press, 2002.
- WILSON, Robert Andrew; KEIL, Frank C. (Hg.). The MIT encyclopedia of the cognitive sciences. MIT press, 2001.
- GERSTNER, Wulfram; KISTLER, Werner M. Spiking neuron models: Single neurons, populations, plasticity. Cambridge University Press, 2002.
Module Exam
Description of exams and course work
The exam takes the form of a 75 minutes written test. Questions allow to assess acquaintance with basic concepts of the perception - cognition - action loop in biological as well as in technical cognitive systems.
Exam Repetition
The exam may be repeated at the end of the semester.