227-0976-00L  Computational Psychiatry & Computational Psychosomatics

SemesterFrühjahrssemester 2021
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



Lehrveranstaltungen

NummerTitelUmfangDozierende
227-0976-00 SComputational Psychiatry & Computational Psychosomatics
Bewilligung der Dozierenden für alle Studierenden notwendig.
**together with University of Zurich**

Room: SOF-E-7 (UZH): SOF-E-7 Schönberggasse 1 8001 Zurich
Link
60s Std.
17.03.16:15-18:00UNI ZH .
14.04.16:15-18:00UNI ZH .
28.04.16:15-18:00UNI ZH .
05.05.16:15-18:00UNI ZH .
19.05.16:15-18:00UNI ZH .
K. Stephan

Katalogdaten

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).

Leistungskontrolle

Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs
ECTS Kreditpunkte2 KP
PrüfendeK. Stephan
Formbenotete Semesterleistung
PrüfungsspracheEnglisch
RepetitionRepetition nur nach erneuter Belegung der Lerneinheit möglich.
Zusatzinformation zum PrüfungsmodusWritten assessment: Participants are expected to submit an essay (5 pages max.) that provides a detailed discussion of one of the computational approaches presented in the seminar, with a particular focus on strengths, weaknesses, assumptions and potential for translation into clinical applications.

Lernmaterialien

Keine öffentlichen Lernmaterialien verfügbar.
Es werden nur die öffentlichen Lernmaterialien aufgeführt.

Gruppen

Keine Informationen zu Gruppen vorhanden.

Einschränkungen

AllgemeinBewilligung der Dozierenden für alle Studierenden notwendig

Angeboten in

StudiengangBereichTyp
Biomedical Engineering MasterWahlfächer der VertiefungWInformation
Biomedical Engineering MasterWahlfächer der VertiefungWInformation