• Module title: Master’s Seminar ScaDS.AI
• University: Leipzig University
• Faculty: Faculty of Mathematics and Computer Science
• Degree: Master of Science (M.Sc.)
• Applicability: Data Science (M. Sc.)
• Language: German, partly English

Module specifications (show more)

Module form:

Recommended for:

Duration:

Module frequenzy:

Teaching methods:

 

 

Compulsory

4th semester

1 semester

every semester

Seminar “Masterseminar ScaDS.AI” (2 SWS) = 30h attendance time and 120 h self-study = 150 h
Workload

 

 

Qualification goals:

After active participation in the “Master’s Seminar ScaDS.AI” module, students are able to familiarize themselves independently with current research topics at ScaDS.AI Dresden/Leipzig. They can independently select and analyze the relevant literature and present the topic appropriately in a group. They learn to present the core content of their work in a presentation.

Content:

The students take part in the internal 2-weekly working group seminars of ScaDS.AI Dresden/Leipzig. The seminars deal with current research topics at ScaDS.AI Dresden/Leipzig. The research topics vary. A current overview of topics can be found here. Students choose from the topics and take part in the seminars. During one of the seminar sessions, students present the current state of their Master’s thesis, discuss their research progress, and answer questions from the audience.

Participation requirements:

Students must have officially registered their Master’s thesis.

Literature:

Information on literature references will be provided in the courses.

Examinations and prerequisites:

Module examination: Graded presentation (45 minutes); the presentation grade constitutes 100% of the module grade