13357 - Psychophysiology: Theory and Data Analysis Modulübersicht

Module Number: 13357 - Phase-out Module
Module Title:Psychophysiology: Theory and Data Analysis
  Psychophysiologie: Theorie und Datenanalyse
Department: Faculty 1 - Mathematics, Computer Science, Physics, Electrical Engineering and Information Technology
Responsible Staff Member:
  • Prof. Dr. rer. nat. Zander, Thorsten
Language of Teaching / Examination:English
Duration:1 semester
Frequency of Offer: On special announcement
Credits: 6
Learning Outcome:After successfully completing the module, students possess an understanding of the physiological processes in the human body that lead to biomarkers of specific mental states. They furthermroe understand the principles of experimental design in the context of psychophysiology, and have applied this understanding in the design, implementation, data collection, and analysis of an actual experiment.

Contents:The module consists of lectures and a project. The lectures cover relevant aspects of general human physiology as well as more specific processes that can be measured using electrocardiography (heart activity), electromyography (muscle activity), electrodermal activity (skin conductance), and electroencephalography (brain activity). The techniques behind each of these monitoring methods are discussed as well, along with properties of the recorded signal and some known correlates of that signal to mental processes or psychological states. The project seminar and self-study hours will be used to plan, design, implement, and analyse the data of an actual neurophysiological experiment.
Recommended Prerequisites:
  • Programming experience, MATLAB in particular
Mandatory Prerequisites:None
Forms of Teaching and Proportion:
  • Lecture / 4 Hours per Week per Semester
  • Seminar / 2 Hours per Week per Semester
  • Self organised studies / 90 Hours
Teaching Materials and Literature:
  • Andreassi, J. (2007). Psychophysiology: Human Behavior and Physiological Response (5th Edition). New York, NY, USA: Psychology Press
  • Gramann, K. & Schandry, R. (2009). Psychophysiologie (4. Auflage). Basel, Switzerland: Beltz
  • Wissenschaftliche Aufsätze
Module Examination:Continuous Assessment (MCA)
Assessment Mode for Module Examination:
  • Project (neurophysiological experiment) (80%)
  • Active participation (20%)
Evaluation of Module Examination:Performance Verification – graded
Limited Number of Participants:None
Part of the Study Programme:
  • Master (research-oriented) / Artificial Intelligence / PO 2022
  • Master (research-oriented) / Informatik / PO 2008 - 2. SÄ 2017
  • Master (research-oriented) / Informations- und Medientechnik / PO 2017
  • Master (research-oriented) / Künstliche Intelligenz Technologie / PO 2022
  • Bachelor (research-oriented) / Medizininformatik / PO 2016
Remarks:
  • Study programme Medizininformatik: B.Sc.: Compulsory elective module in complex „Medizininformatik"
  • Study programme Informatik M.Sc.: Compulsory elective module in complex „Praktischer Informatik" (level 400)
  • Study programme Information- und Mediatechnik M.Sc.: Compulsory elective module in complex „Kognitive Systeme"
  • Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex „Learning and Reasoning“
  • Study programme Künstliche Intelligenz Technologie M.Sc.: Compulsory elective module in complex „Kognitions- und Neurowissenschaft“
Module Components:
  • Lecture: „Psychophysiology: Theory and Data Analysis“
  • Accompanying project seminar
Components to be offered in the Current Semester:
  • no assignment
Follow-up Module/s: Phase-out module since: 10.01.2023