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Cognitive Systems

Module IN2222

This Module is offered by TUM Department of Informatics.

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 workloadContact hoursCredits (ECTS)
150 h 60 h 5 CP

Content, Learning Outcome and Preconditions


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.


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Courses, Learning and Teaching Methods and Literature

Courses and Schedule

VI 4 Cognitive Systems (IN2222) Knoll, A. Walter, F. Thu, 16:00–18:00, PH HS1
Tue, 14:30–16:00, MW 1801
Thu, 16:30–18:00, MSB E.126
Tue, 14:00–16:00, MSB E.126
and singular or moved dates

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.


Slide show, blackboard, online programming experiments, animations


- 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.

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.

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