|Module label||Foundations of STS Eng.: Cognitive Processes|
|Credit points||6.0 KP|
|Faculty/Institute||Department of Computing Science|
|Used in course of study||
|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:
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.
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.
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
|Language of instruction||English|
|Duration (semesters)||1 Semester|
|Module frequency||Once a year|
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|
|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.