Universität Wien
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580013 SE Deep-learning topics in the field of computer-aided drug design (2023W)

1.50 ECTS (1.50 SWS), SPL 58 - Doktoratsstudium Pharmazie, Ernährungswissenschaften und Sportwissensch
Continuous assessment of course work
Moodle

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).

Details

Language: German

Lecturers

Classes

The lectures will take place every second Tuesday between 3:15PM-4:30PM
The first lecture will take place on the 10th of October in room 2D313, UZA II, Josef-Holaubek-Platz 2, 1090 Wien

The enrollment will be open between the 25th of September and 8th of October

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

The seminar will follow one particular topic which will be decided on the first day of the meeting.

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

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.

Examination topics

Reading list

Association in the course directory

Last modified: Sa 21.10.2023 14:48