13942 - Foundations of Psychophysiology Modulübersicht

Module Number: 13942
Module Title:Foundations of Psychophysiology
  Grundlagen der Psychophysiologie
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: Every semester
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 different mental states. They furthermore understand the principles of experimental design in the context of psychophysiology, and have experience reading, critiquing, and writing psychophysiological research literature.
Contents:The module consists of lectures and a seminar. The lectures cover relevant aspects of general human physiology as well as more specific processes that can be measured using electrocardiography (ECG, heart activity), electromyography (EMG, muscle activity), electrodermal activity (EDA, skin conductance), eye tracking, as well as brain activity through functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG). The techniques behind each of these 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. Ethical, social and legal issues arising from research into the use of psychophysiological data will be discussed. This includes the recording of data, data security, transparency and ethical issues relating to experiments.
In the seminar, students will read, present and discuss relevant papers published in scientific journals, reflecting different experiments involving physiological data. Additionally, students will write an essay on a related topic.
Recommended Prerequisites:
Mandatory Prerequisites:None
Forms of Teaching and Proportion:
  • Lecture / 2 Hours per Week per Semester
  • Seminar / 2 Hours per Week per Semester
  • Self organised studies / 120 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
  • Selected scientific papers
Module Examination:Continuous Assessment (MCA)
Assessment Mode for Module Examination:
  • active participation by asking questions during or after the classes (20%)
  • moderated discussion of selected topics related to the lecture, 45 minutes (15%)
  • term paper in single work, 5 pages (15%)
  • written exam, 60 minutes (50%)
Evaluation of Module Examination:Performance Verification – graded
Limited Number of Participants:72
Part of the Study Programme:
  • Abschluss im Ausland / Artificial Intelligence / keine PO
  • Master (research-oriented) / Artificial Intelligence / PO 2022
  • Abschluss im Ausland / Energietechnik und Energiewirtschaft / keine PO
  • Master (research-oriented) / Künstliche Intelligenz Technologie / PO 2022
  • Bachelor (research-oriented) / Medizininformatik / PO 2016
  • Master (research-oriented) / Micro- and Nanoelectronics / PO 2024
Remarks:
  • 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: Foundations of Psychophysiology
  • Accompanying seminar
Components to be offered in the Current Semester: