Es ist eine neuere Version 2021W dieser LV im Curriculum Masterstudium Artificial Intelligence 2024W vorhanden.
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload
Ausbildungslevel
Studienfachbereich
VerantwortlicheR
Semesterstunden
Anbietende Uni
1,5 ECTS
M1 - Master 1. Jahr
Informatik
Günter Klambauer
1 SSt
Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum
Masterstudium Artificial Intelligence 2020W
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
Äquivalenzen
(*)in collaboration with 993TALSALSU20: UE Artificial Intelligence in Life Sciences (1.5 ECTS) equivalent to 993TALSALSK19: KV Artificial Intelligence in Life Sciences (3 ECTS)
