Technische Universität München Robotics and Embedded Systems
 

Cognitive Systems Summer Semester 2017

 
Lecturer Prof. Dr.-Ing. Alois Knoll, Florian Walter
Module IN2222
Type Lecture
Semester SS 2017
ECTS 5.0
SWS 3V+1Ü
Audience Obligatory course in Robotics, Cognition, Intelligence (Master's Program)
Elective course in Informatics (Master's program)
Elective course in Games Engineering (Master's program)
Elective course in Data Engineering and Analytics (Master's program)
Elective course in Mathematics in Science and Engineering (Master's program)
Elective course in Automotive Software Engineering (Master's program)
Elective course in Biomedical Computing (Master's program)
Elective course in Technologie- u. Managementorientierte BWL (Master's program)
Time & Place Mon 14:15 - 16:45 (bi-weekly) Interimshörsaal 1
Tue 14:07 - 15:37 MW 1801
Exercise Mon 14:15 - 16:45 (bi-weekly) MW 1801

News

Description

Cognitive systems are devices that are designed to mimic cognitive skills of higher developed biological organisms at varying levels of complexity and performance. Models of these skills can either be abstract functional descriptions from the vast field of cognitive science or detailed simulations of brain circuits from neuroscience. While only little progress was made with the former type of models in the last decade, the steadily increasing availability of cheap computing resources and novel hardware designs have recently yielded remarkable results with the latter. The goal of this course is to provide a definitive introduction to the theory of cognitive systems. Drawing from advances in brain research, the topic is approached from a computational-neuroscientific perspective rather than an abstract-psychological one, bridging the gap between the physical structure of the brain and the logical organization of its cognitive capabilities. Special focus is put on the role of robotics as a means to ground cognitive function in bodies that physically interact within different types of environments.

Course Materials

Course materials are available on Moodle.