227-0976-00L  Computational Psychiatry & Computational Psychosomatics

SemesterFrühjahrssemester 2020
DozierendeK. Stephan
Periodizitätjedes Semester wiederkehrende Veranstaltung
LehrspracheEnglisch
KommentarNumber of participants limited to 24.

Information for UZH students:
Enrolment to this course unit only possible at ETH Zurich.
No enrolment to module BMT20002.

Please mind the ETH enrolment deadlines for UZH students: Link


KurzbeschreibungThis seminar deals with the development of clinically relevant computational tools and/or their application to psychiatry and psychosomatics. Complementary to the annual Computational Psychiatry Course, it serves to build bridges between computational scientists and clinicians and is designed to foster in-depth exchange, with ample time for discussion
LernzielUnderstanding strengths and weaknesses of current trends in the development of clinically relevant computational tools and their application to problems in psychiatry and psychosomatics.
InhaltThis seminar deals with the development of computational tools (e.g. generative models, machine learning) and/or their application to psychiatry and psychosomatics. The seminar includes (i) presentations by computational scientists and clinicians, (ii) group discussion with focus on methodology and clinical utility, (iii) self-study based on literature provided by presenters.
LiteraturLiterature for additional self-study of the topics presented in this seminar will be provided by the presenters and will be available online at Link
Voraussetzungen / BesonderesParticipants are expected to be familiar with general principles of statistics (including Bayesian statistics) and have successfully completed the course “Computational Psychiatry” (Course number 227-0971-00L).