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
Continuous assessment of course work
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).
- Registration is open from Tu 28.02.2023 16:34 to Fr 03.03.2023 12:00
- Deregistration possible until Fr 03.03.2023 12:00
Details
Language: German
Lecturers
Classes
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
Aims, contents and method of the course
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
Assessment and permitted materials
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
Minimum requirements and assessment criteria
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.
Examination topics
Reading list
This will be updated soon
Association in the course directory
Last modified: Tu 07.03.2023 14:10