LFU:online

Participants of this module are able work in a methodologically correct manner on different areas of computer science and present the results of this analysis in textual and verbal form.

Deep analysis of one branch of computer science; preparation of talk and seminar work, which goes beyond the content which is addressed in the remaining curriculum.

Continuous assessment (based on regular written and/or oral contribution by participants).

Course examination according to § 6, statute section on "study-law regulations"

Will be discussed in the first lesson.

Completion of the course Introduction to Scientific Working before the start of the Specialisation Seminar!

Group 1: Thomas Fahringer - DPS

Group 2: Günther Specht / Michael Müller - DBIS

Group 3: Radu Prodan - Edge AI
Introduction to Federated Learning

Group 4: Dominik Amschwand - NESC
A hands-on introduction to Bayesian statistics and inference

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Allocation of places in courses with a limited number of participants (PS, SE, VU, PJ)

In courses with a limited number of participants, course places are allocated as follows:

1. Students for whom the study duration would be extended due to the postponement are to be given priority.

2. If the criteria in no. 1 do not suffice, first, students for whom this course is part of a compulsory module are to be given priority, and second, students for whom this course is part of an elective module.

3. If the criteria in no. 1 and 2 do not suffice, the available places are drawn by random.

Curriculum BA Computer Science 2019