580012 SE Deep-learning topics in the field of computer-aided drug design (2023S)
1.50 ECTS (1.50 SWS), SPL 58 - Doktoratsstudium Pharmazie, Ernährungswissenschaften und Sportwissensch
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Di 28.02.2023 16:34 bis Fr 03.03.2023 12:00
- Abmeldung bis Fr 03.03.2023 12:00
Details
Sprache: Deutsch
Lehrende
Termine
The lectures will take place every Tuesday between 3:15PM-4:15PM
The first lecture will take place on the 7th of March in room 2D313, UZA II, Josef-Holaubek-Platz 2, 1090 Wien
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
The aim of this lecture is to get a basic understanding of DL methods in general and then focus on a particular topic within the CADD area. Students need to present at least one publication during the course
Art der Leistungskontrolle und erlaubte Hilfsmittel
Attendance and active participation (You are allowed to miss one lecture)
Written short text about what has been done throughout the semester - this will be talked about more in detail in the first lecture
Written short text about what has been done throughout the semester - this will be talked about more in detail in the first lecture
Mindestanforderungen und Beurteilungsmaßstab
There will be a crash course in the beginning about what DL is and some concepts - without that, it might be difficult to follow.
The most important pre-requirement is that you are willing to learn sth new and are interested in the topic.
The most important pre-requirement is that you are willing to learn sth new and are interested in the topic.
Prüfungsstoff
Literatur
This will be updated soon
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Di 07.03.2023 14:10