inf963 - Foundations of STS Eng.: Cognitive Processes (Complete module description)

inf963 - Foundations of STS Eng.: Cognitive Processes (Complete module description)

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Module label Foundations of STS Eng.: Cognitive Processes
Modulkürzel inf963
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Computing Science
Verwendbarkeit des Moduls
  • Master's Programme Engineering of Socio-Technical Systems (Master) > Fundamentals/Foundations
Zuständige Personen
  • Fränzle, Martin Georg (module responsibility)
  • Herrmann, Christoph Siegfried (module responsibility)
  • Lehrenden, Die im Modul (Prüfungsberechtigt)
Prerequisites

No participant requirement

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
Module contents
  • Part 1 neurocognition: Ward (2015)
  • The Student’s Guide to Cognitive Neuroscience, Psychology Press Part 2 neurophysiology: Kandel et al. (2000).
  • Principles of Neural Science, McGraw-Hill Luck, S.J. (2005).
  • An Introduction to the ERP Technique, The MIT Press Van Drongelen, W. (2006).
  • Signal Processing for Neuroscientists, Academic Press Part 3 cognitive engineering: Paternò, F (2000).
  • Model-Based Design and Evaluation of Interactive Applications Anderson, Matessa & Lebiere (1997).
  • ACT-R: A Theory of Higher Level Cognition and its Relation to Visual Attention. In: Human Computer Interaction Wickens & Hollands (2012).
  • Engineering Psychology & Human Performance Vicente, K (2002).
  • Ecological interface design: progress and challenges. In: Human Factors Vicente, K (1999).
  • Cognitive Work Analysis: Toward Safe, Productive, and Healthy Computer-Based Work Card, Moran & Newell (1983).
  • The Psychology of Human-Computer Interaction
Literaturempfehlungen
Links
Language of instruction English
Duration (semesters) 1 Semester
Module frequency annual
Module capacity unlimited
Reference text

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

Teaching/Learning method V + Ü
Previous knowledge keine
Form of instruction Comment SWS Frequency Workload of compulsory attendance
Lecture 2 WiSe 28
Exercises 2 WiSe 28
Präsenzzeit Modul insgesamt 56 h
Examination Prüfungszeiten Type of examination
Final exam of module

At the End of the lecture periods

Written exam. A bonus system will be employed.