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This entry is from Winter semester 2019/20 and might be obsolete. You can find a current equivalent here.

CS 695 — Introduction to Scientific Working Data Science
(dt. Selbstständiges wissenschaftliches Arbeiten Data Science)

Level, degree of commitment Profile module, required module
Forms of teaching and learning,
workload
Private study under guidance,
270 hours (270 h private study)
Credit points,
formal requirements
9 CP
Course requirement(s):
Examination type: Written assignment (summary of the publications considered in the literature search).
Language,
Grading
German,
The module is ungraded in accordance with the examination regulations for the degree program M.Sc. Data Science.
Duration,
frequency
One semester,
each semester
Person in charge of the module's outline All lecturers of Computer Science

Contents

  • Independent scientific work in a field of specialization
  • Individual content and technical preparatory work for the Master's thesis

Qualification Goals

  • Students should acquire the ability to independently examine and expand the state of knowledge in a scientific field on the basis of literature recommendations and to obtain an overview of the state of research,
  • they acquire knowledge of subject-specific methods of literature search,
  • they get to know systems supporting their scientific work in the field of the master thesis.

Prerequisites

None. The skills taught in the intermediate and advanced modules are recommended.


Applicability

The module can be attended at FB12 in study program(s)

  • M.Sc. Data Science

When studying M.Sc. Data Science, this module must be completed in the study area Profile and Practical Modules.


Recommended Reading

  • Depending on the area of the Master's thesis.



Please note:

This page describes a module according to the latest valid module guide in Winter semester 2019/20. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.