inf963 - Foundations of STS Eng.: Cognitive Processes (Course overview)

inf963 - Foundations of STS Eng.: Cognitive Processes (Course overview)

Department of Computing Science 6 KP
Module components Semester courses Wintersemester 2017/2018 Examination
Lecture
  • No access 5.02.614 - Introduction to Cognitive Neuroscience Show lecturers
    • Dr. rer. nat. Carsten Gießing
    • Prof. Dr. Christiane Margarete Thiel

    Monday: 08:00 - 10:00, weekly (from 04/12/17), Location: A07 0-031
    Thursday: 08:00 - 10:00, weekly (from 07/12/17), Location: A07 0-031
    Dates on Wednesday, 11.10.2017 09:00 - 10:00, Monday, 05.03.2018 14:00 - 16:00, Monday, 12.03.2018 09:00 - 11:00, Wednesday, 09.05.2018 14:00 - 16:00, Location: W03 1-152, A07 0-031, A07 0-030 (Hörsaal G) (+1 more)
    Die Veranstaltung ist Teil von verschiedenen Modulen in den Studiengängen Biologie, Neuroscience, Neurocognitive Psychology und Engineering in Sociotechnical Systems. Die Veranstaltung ist die gleiche, die Modulteile sind jedoch unterschiedlich
  • No access 6.02.170_1 - Neurophysiology and Neuroanatomy Show lecturers
    • Prof. Dr.-Ing. habil. Christoph Siegfried Herrmann, Dipl.-Ing.
    • Prof. Dr. Stefan Debener, Dipl.-Psych.

    Monday: 14:00 - 16:00, weekly (from 16/10/17)
Exercises
  • No access 2.01.351 - Teilnahme am Hyperloop-Wettbewerb IV Show lecturers
    • Dr. Ute Vogel-Sonnenschein

    The course times are not decided yet.
  • No access 2.01.963 - Seminar Foundations of STS Eng.: Cognitive Processes Show lecturers
    • Dr. Sebastian Feuerstack

    Dates on Monday, 23.10.2017, Monday, 15.01.2018 12:00 - 14:00, Tuesday, 30.01.2018 14:00 - 16:30
    The seminar is offered for students in the International Masters Programme " Critical Systems Engineering in Socio-Technical Systems”. Teaching language is English. The seminar will be given as a block seminar at the end of the semester. There will be one lecture in the beginning of the semester in that the topics will be introduced to the students. Each student is requested to choose one topic, to read the suggested papers, to search for related work, and to perform a modeling task, which is for most of the topics an air traffic controller use case. The results will then be presented in the block seminar and discussed with all other participants. Additionally, students have the option to elaborate a written report that summarizes their modeling and findings on 10 pages max (bonus).
Notes on the module
Prerequisites

No participant requirement
Reference text

The module will be offered in winter terms and should be completed within one semester. Both parts will run in parallel
Prüfungszeiten

At the End of the lecture periods
Module examination

Written exam. A bonus system will be employed.
Skills to be acquired in this module

The module aims to provide an overview of theories of cognitives processes.
Part 1 will be a lecture on neurocognition. Students will first acquire a general understanding of the brain mechanisms of different cognitive functions and the methods used to study these functions:

  • brain and cognition, methods of cognitive neuroscience
  • attention, learning and memory
  • emotional and social behavior
  • language, executive functions

Part 2 will be a lecture on neurophysiology. Students will acquire specific knowledge about neurophysiology and neuroanatomy, learn the fundamental concepts of multi-channel EEG analysis, and acquire hands-on skills in using EEGLAB, an open-source software toolbox for advanced EEG analysis. Competencies:

  • understanding of basic concepts of biomedical signal processing;
  • using EEG analysis tools interactively and independently;
  • understanding the complete chain of EEG analysis steps, from data import to the illustration of results;
  • ability to use open source tools for EEG analysis;
  • application of theoretical knowledge to practical problems of physiology.


Part 3 will be a seminar on cognitive engineering. Students will be introduced to methods, tools, and techniques (MTTs) to evaluate and predict human performance in small use cases in different domains (Aviation, Air Traffic Control, Automotive, Maritime, or Healthcare). Each student is expected to study and apply the MTT based on material and software provided and present and discuss the modeling approach and the results achieved with the other participants and experts in the seminar.
Professional competences
The students:

  • neuropsychological / neurophysiological knowledge

Methodological competences
The students:

  • interdisciplinary knowledge & thinking

Social competences
The students:

  • written and oral presentation and discussion of scientific and technical results with others.

Self-competences
The students:

  • reading, understanding, summarizing and critically evaluating scientific texts/literature