[ 993TALSALSK19 ] KV (*)Artificial Intelligence in Life Sciences
|
|
|
|
| (*) Leider ist diese Information in Deutsch nicht verfügbar. |
 |
| Workload |
Ausbildungslevel |
Studienfachbereich |
VerantwortlicheR |
Semesterstunden |
Anbietende Uni |
| 3 ECTS |
M1 - Master 1. Jahr |
Informatik |
Günter Klambauer |
2 SSt |
Johannes Kepler Universität Linz |
|
|
|
| Detailinformationen |
| Quellcurriculum |
Masterstudium Artificial Intelligence 2019W |
| Ziele |
(*)This course presents artificial intelligence methods in Life Sciences, concretely in drug discovery, pharmacology, toxicology and bioinformatics. The course will demonstrate the application and use of machine learning in Life Sciences, with the focus on the field of small molecules and drug design. Both theoretical foundations of methods as well as basics of the implementation of those will be given.
|
| Lehrinhalte |
(*)- Basic machine learning methods in Life Sciences
- Molecular representation
- Chemical structure information
- Chemical descriptors and fingerprints
- Advanced machine learning methods in Life Sciences
- Molecule kernels
- QSAR
- Virtual Screening
- Drug target prediction
- Graph convolutions
- Multi-task learning
- Active learning
- Generative models for molecules
|
| Beurteilungskriterien |
|
| Abhaltungssprache |
Englisch |
| Lehrinhalte wechselnd? |
Nein |
|
|
|
| Präsenzlehrveranstaltung |
| Teilungsziffer |
- |
| Zuteilungsverfahren |
Direktzuteilung |
|
