227-0976-00L Computational Psychiatry & Computational Psychosomatics
| Semester | Autumn Semester 2020 |
| Lecturers | K. Stephan |
| Periodicity | every semester recurring course |
| Language of instruction | English |
| Comment | Number 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
| Number | Title | Hours | Lecturers | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 227-0976-00 S | Computational 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 |
| K. Stephan |
Catalogue data
| Abstract | This 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 |
| Learning objective | Understanding strengths and weaknesses of current trends in the development of clinically relevant computational tools and their application to problems in psychiatry and psychosomatics. |
| Content | This 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. |
| Literature | Literature 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 / Notice | Participants 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 credits | 2 credits |
| Examiners | K. Stephan |
| Type | graded semester performance |
| Language of examination | English |
| Repetition | Repetition only possible after re-enrolling for the course unit. |
| Additional information on mode of examination | Written 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 link | See TNU website: |
| Only public learning materials are listed. | |
Groups
| No information on groups available. |
Restrictions
| General | Permission from lecturers required for all students |
Offered in
| Programme | Section | Type | |
|---|---|---|---|
| Biomedical Engineering Master | Recommended Elective Courses | W |  |
| Biomedical Engineering Master | Recommended Elective Courses | W | |