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13.10.2019 23:17:32
inf963 - Foundations of STS Eng.: Cognitive Processes (Complete module description)
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Module label Foundations of STS Eng.: Cognitive Processes
Module code inf963
Credit points 6.0 KP
Workload 180 h
Faculty/Institute Department of Computing Science
Used in course of study
  • Master's Programme Engineering of Socio-Technical Systems (Master) > Fundamentals/Foundations
Contact person
Module responsibility
Authorized examiners
Entry requirements
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:
  • Neuropsychological / neurophysiological knowledge

Methodological competences:
  • interdisciplinary knowledge & thinking

Social competences:
  • Written and oral presentation and discussion of scientific and technical results with others.

Self-competences:
  • 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
Reader's advisory
Links
Language of instruction English
Duration (semesters) 1 Semester
Module frequency Once a year
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
Modullevel BC (Basiscurriculum / Base curriculum)
Modulart Pflicht o. Wahlpflicht / compulsory or optioal
Lern-/Lehrform / Type of program V+S
Vorkenntnisse / Previous knowledge
Course type Comment SWS Frequency Workload attendance
Lecture 2.00 WiSe 28 h
Seminar 2.00 WiSe 28 h
Total time of attendance for the module 56 h
Examination Time of examination Type of examination
Final exam of module
At the End of the lecture periods
Written exam. A bonus system will be employed.