IS 723: Seminar Data-Science II

Contents
The achievement of the learning goals is pursued by practicing on the basis of personally assigned in-depth scientific topics as well as by actively participating in the presentation dates. The organizer will choose subject areas within the field of Data-Science and provide scientific papers to students to work through.

Learning outcomes
Skills: On the basis of suitable literature, in particular original scientific articles, students independently familiarize themselves with a topic in data-science, classify and narrow down the topic appropriately and develop a critical evaluation. Students work out concepts, procedures and results of a given topic clearly and with appropriate formalisms in a timely manner and to a defined extent in depth in writing; Evidence of independent development by presenting self-selected examples. Descriptive oral presentation of an in-depth data science topic using suitable media and examples in a given format

Necessary prerequisites
–

Recommended prerequisites
lectures offered by the chair

Examiner Performing lecturer

Prof. Dr. Markus Strohmaier Prof. Dr. Markus Strohmaier, Marlene Lutz