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 2019/2020 Examination
Lecture
Exercises
  • No access 2.01.963 - Seminar Foundations of STS Eng.: Cognitive Processes Show lecturers
    • Dr. Sebastian Feuerstack

    Thursday: 12:00 - 14:00, weekly (from 14/11/19)
    Overview of the Seminar on cognitive engineering as part of the module “Foundations of Socio-Technical Systems Engineering: Cognitive Processes” 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 *additional* related work, and to prepare a presentation (15 min + 5 min discussion). All given material has to be read till mid of the semester. One meeting on an individual basis is mandatory to discuss the presentation and to resolve open questions. Prior to this meeting, a *written* presentation structure has to be delivered, which also refers to additional found material. The results will then be presented in a block seminar and discussed with all other participants. Additionally, students have the option to perform a small exercise. The result should bebe added to the presentation (+5 min presentation time). The block seminar is performed with three presenters for each block. Active participation (listening to the other presentations and asking questions or participating the discussion) is mandatory for all students.
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