Vorlesung
2 SemesterwochenstundenBTU-Vorlesungsverzeichnis ↗- Dienstag06 Okt 2026 bis 26 Jan 202711:30 bis 13:00
Titel auf Englisch: Foundations of Psychophysiology
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.
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.
Keine
Keine
Written test, 90 minutes
Wahlpflichtkomplex: Learning and Reasoning
Wahlpflichtkomplex: Kognitions- und Neurowissenschaft
Wahlpflichtkomplex: Data Science Applications
| Studiengang | Abschluss | Wahlpflichtkomplex |
|---|---|---|
| Artificial Intelligence | M.Sc. | Learning and Reasoning |
| Künstliche Intelligenz Technologie | M.Sc. | Kognitions- und Neurowissenschaft |
| Mathematical Data Science | M.Sc. | Data Science Applications |
Was Studierende über dieses Modul sagen. Die BTU hat damit nichts zu tun — hier schreiben nur Studierende, und jede Bewertung ist die Meinung einer einzelnen Person.