Module PY4231-KP04

Duration

1 Semester

Turnus of offer

on request

Credit points

4

Course of studies, specific fields and terms:

• Master Psychology - Clinical Psychology and Psychotherapy 2022, optional subject, psychology
• Master Psychology - Cognitive Systems 2022, optional subject, psychology
• Master Psychology 2016, optional subject, psychology

Classes and lectures:

• PY4231 Artificial Intelligence in health sciences (seminar, 2 SWS)

Workload:

• 30 hours in-classroom work
• 90 hours private studies

Contents of teaching:

• Introduction into the basic principles and background of mathematical modelling and Artificial Intelligence.
• Advances in analyzing real-world data (from text to brain)
• Application in the research of healthy subjects and mental disorders (Stress, Psychosis and Depression)

Qualification-goals/Competencies:

• Students gain in-depth insights into the principles and methods of Artificial Intelligence.
• Students can understand and evaluate studies that make use of the learned computational methods
• Students understand the relevance of computational modeling for the research on mental disorders

Grading through:

• B-Certificate (not graded)
• active participation in the exercises

Responsible for this module:

• Prof. Dr. rer. nat., Dipl.-Psych. Frieder Paulus

Teacher:

• Clinic of Psychiatry and Psychotherapy
• Dr.-Ing. Alexandra Korda

Literature:

• Varun H Buch, Irfan Ahmed and Mahiben Maruthappu : Artificial intelligence in medicine: current trends and future possibilities British Journal of General Practice 2018; 68 (668): 143-144. DOI /li>

Language:

• offered only in English

Notes:

Last Updated:

28.11.2025