227-0976-00L  Computational Psychiatry & Computational Psychosomatics

SemesterAutumn Semester 2020
LecturersK. Stephan
Periodicityevery semester recurring course
Language of instructionEnglish
CommentNumber 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



Courses

NumberTitleHoursLecturers
227-0976-00 SComputational Psychiatry & Computational Psychosomatics
Permission from lecturers required for all students.
**together with University of Zurich**

Online
Courses on 14.10., 21.10., 04.11., 25.11. and 16.12.2020
from 16h15 – 17h45
60s hrs
14.10.16-18ON LI NE »
21.10.16-18ON LI NE »
04.11.16-18ON LI NE »
25.11.16-18ON LI NE »
16.12.16-18ON LI NE »
K. Stephan

Catalogue data

AbstractThis 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
ObjectiveUnderstanding strengths and weaknesses of current trends in the development of clinically relevant computational tools and their application to problems in psychiatry and psychosomatics.
ContentThis 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.
LiteratureLiterature for additional self-study of the topics presented in this seminar will be provided by the presenters and will be available online at https://www.tnu.ethz.ch/de/teaching
Prerequisites / NoticeParticipants 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).

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits2 credits
ExaminersK. Stephan
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examinationWritten 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.

Learning materials

 
Main linkSee TNU website:
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

GeneralPermission from lecturers required for all students

Offered in

ProgrammeSectionType
Biomedical Engineering MasterRecommended Elective CoursesWInformation
Biomedical Engineering MasterRecommended Elective CoursesWInformation