Inhalt
[ 993TALSALSU20 ] UE (*)Artificial Intelligence in Life Sciences
|
|
|
| Es ist eine neuere Version 2025W dieser LV im Curriculum Masterstudium Medical Engineering 2025W vorhanden. |
|
| (*) Leider ist diese Information in Deutsch nicht verfügbar. |
 |
| Workload |
Ausbildungslevel |
Studienfachbereich |
VerantwortlicheR |
Semesterstunden |
Anbietende Uni |
| 1,5 ECTS |
M1 - Master 1. Jahr |
Artificial Intelligence |
Günter Klambauer |
1 SSt |
Johannes Kepler Universität Linz |
|
|
|
| Detailinformationen |
| Quellcurriculum |
Masterstudium Artificial Intelligence 2021W |
| 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 (ML) methods in Life Sciences
- Molecular representations
- QSAR, chemoinformatics, virtual screening, bioassays
- ML methods for drug target, activity and toxicity prediction
- Generative models for molecules
- Models for chemical reactions
- Deep neural networks for genomic and transcriptomic data
- Interpretability
- Machine learning applications for biological images
|
| Beurteilungskriterien |
(*)Assignments
|
| Lehrmethoden |
(*)Presentations, blackboard, code examples, discussoin
|
| Abhaltungssprache |
Englisch |
| Literatur |
(*)Lecture notes, presentation slides, code
|
| Lehrinhalte wechselnd? |
Nein |
| Äquivalenzen |
(*)in collaboration with 993TALSALSV20: VL Artificial Intelligence in Life Sciences (1.5 ECTS) equivalent to
993TALSALSK19: KV Artificial Intelligence in Life Sciences (3 ECTS)
|
|
|
|
| Präsenzlehrveranstaltung |
| Teilungsziffer |
35 |
| Zuteilungsverfahren |
Direktzuteilung |
|
|
|
