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270078 VO+UE Machine learning for molecules and materials (2019W)
with an introduction to python
Continuous assessment of course work
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first serve).
- Registration is open from Su 01.09.2019 08:00 to We 25.09.2019 23:59
- Deregistration possible until We 25.09.2019 23:59
max. 25 participants
When? Always Thursdays 10h00
Where? PC-Pool room 203, Währinger Str. 17, 1090 Wien
Assessment and permitted materials
Performance will be assessed through short tests and an oral presentation as well as the participation during the computer exercises and the lecture. It is possible to prove the performance by solving a problem in chemistry through machine learning.
Minimum requirements and assessment criteria
Basic knowledge of theoretical chemistry (Bachelor level: Hartree-Fock, harmonic oscillator, mathematical basics, etc.) is required. The grade consists of the average results of the short tests (30%), the oral presentation (30%) and the participation (40%).
Content of the lecture.
- C. Bishop, Pattern recognition and machine Learning
Research articles as discussed during the oral presentations.
PC-4, D.4, MC-3, D.3, Doktorat
Last modified: Th 26.09.2019 00:05