Universität Wien
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262006 UE Introduction to Computational Biology and Drug Discovery - Exercises (2024W)

3.00 ECTS (2.00 SWS), SPL 26 - Physik
Continuous assessment of course work
Moodle
Th 23.01. 15:00-18:15 Seminarraum 9, Kolingasse 14-16, OG01

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 28.11. 15:00 - 18:15 Seminarraum 9, Kolingasse 14-16, OG01
  • Thursday 05.12. 15:00 - 18:15 Seminarraum 9, Kolingasse 14-16, OG01
  • Thursday 12.12. 15:00 - 18:15 Seminarraum 9, Kolingasse 14-16, OG01
  • Thursday 09.01. 15:00 - 18:15 Seminarraum 9, Kolingasse 14-16, OG01
  • Thursday 16.01. 15:00 - 18:15 Seminarraum 9, Kolingasse 14-16, OG01

Information

Aims, contents and method of the course

This course provides hands-on sessions on the methods and topics discussed in the accompanying lecture series “262005 VO Introduction to Computational Biology and Drug Discovery”

Important! Students will be using scientific software that requires a laptop running Linux or macOS. If you plan to participate in the exercises but do not have access to a compatible laptop, please inform the instructors as early as possible so alternative resources can be arranged.

Assessment and permitted materials

Each session is accompanied by assignments and course work, which is completed at home and submitted for marking before a specified due date.

Minimum requirements and assessment criteria

Minimum requirements: Familiarity with the content presented in the lecture series “262005 VO Introduction to Computational Biology and Drug Discovery”. Students will find a background in biology and/or chemistry enormously helpful.

Assessment criteria: Attendance and active participation 30%; course work 40%; case studies 30%. Attendance is mandatory; absence during one course unit is permitted.

Examination topics

Content presented in the course; course work; case studies.

Reading list

Association in the course directory

ICBD

Last modified: Fr 01.11.2024 16:46