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This entry is from Winter semester 2019/20 and might be obsolete. No current equivalent could be found.

CS 673 — Small Specialization Module Databases
(dt. Kleines Vertiefungsmodul Datenbanksysteme)

Level, degree of commitment Specialization module, compulsory elective module
Forms of teaching and learning,
workload
Lecture (2 SWS), recitation class (2 SWS),
180 hours (60 h attendance, 120 h private study)
Credit points,
formal requirements
6 CP
Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises.
Examination type: Written or oral examination
Language,
Grading
German,
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Data Science.
Duration,
frequency
One semester,
irregular
Person in charge of the module's outline Prof. Dr. Bernhard Seeger

Contents

Continuation of the contents of an intermediate module, exemplary treatment of current results under inclusion of newer research literature.

The topics originate from the field of database and information systems.


Qualification Goals

The students shall

  • know about current research problems and results,
  • learn how to deal with research literature,
  • gain insight into the emergence of new results from the field of database and information systems,
  • deepen their knowledge of computer science in a specific area,
  • strengthen the competence to independently acquire current scientific contributions from national and international scientific publications,
  • practice IT methods for data management (development and application of basic solution strategies and their formal description, training of abstraction skills, system development),
  • improve their oral communication skills in the exercises by practicing free speech in front of an audience and during discussion.

Prerequisites

None.


Applicability

Module imported from M.Sc. Data Science.

It can be attended at FB12 in study program(s)

  • B.Sc. Data Science
  • B.Sc. Computer Science
  • B.Sc. Business Informatics
  • M.Sc. Data Science
  • M.Sc. Computer Science
  • M.Sc. Mathematics
  • M.Sc. Business Informatics
  • M.Sc. Business Mathematics

When studying B.Sc. Data Science, this module can be attended in the study area Compulsory Elective Modules in Computer Science.


Recommended Reading

  • Depending on topic



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.