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270087 VO Machine learning for molecules and materials (2022W)
Labels
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. 24 participants
Language: German
Examination dates
Lecturers
Classes
Lecture and exercises will take place on Mondays from 9:30 to 12:30 in the PC pool, Währinger Str. 17, 2nd floor.
The lecture will be in English.
Information
Aims, contents and method of the course
Assessment and permitted materials
Performance will be assessed either by a final project or a final written test. Short tests and an oral presentation allow for bonus points. If a machine learning project is chosen, an own problem from chemistry by means of machine learning needs to be solved.
Minimum requirements and assessment criteria
Basic knowledge of theoretical chemistry (Bachelor level: Hartree-Fock, harmonic oscillator, mathematical basics, etc.) is required. The grade is defined by the final machine learning project or the written test.
Examination topics
Content of the lecture.
Reading list
- C. Bishop, Pattern recognition and machine Learning
- https://www.deeplearningbook.org/
Research articles as discussed during the oral presentations.
- https://www.deeplearningbook.org/
Research articles as discussed during the oral presentations.
Association in the course directory
CH-MAT-01, PC-4, TC-3,WD3, D.4, Design
Last modified: Mo 13.03.2023 10:09
- Understanding of and overview over machine learning methods for molecular and materials systems.
- Knowledge on solving problems with machine learning codes.