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This entry is from Winter semester 2018/19 and might be obsolete. No current equivalent could be found.

CS 575 — Small Advanced Module Databases
(dt. Kleines Aufbaumodul Datenbanksysteme)

Level, degree of commitment Advanced 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): Written or oral examination
Examination type: Successful completion of at least 50 percent of the points from the weekly exercises.
Language,
Grading		 German,
The grading is done with 0 to 15 points according to the examination regulations for the degree program B.Sc. Data Science.
Duration,
frequency		 One semester,
irregular
Person in charge of the module's outline Prof. Dr. Bernhard Seeger

Contents

Based on the basic modules in computer science, further topics from the field of database and information systems are dealt with.


Qualification Goals

The students shall

  • acquire basic knowledge and skills in the field of database and information systems,
  • learn learn about the development of theoretical and system-relevant concepts in the field of database and information systems, and experience selected applications,
  • practise IT working 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

Translation is missing. Here is the German original:

Keine. Empfohlen werden die Kompetenzen, die in den Basismodulen (themenabhängig) vermittelt werden.


Applicability

Module imported from B.Sc. Data Science.

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

  • B.Sc. Data Science
  • B.Sc. Computer Science
  • B.Sc. Mathematics
  • 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 M.Sc. Data Science, this module can be attended in the study area Specialization 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 2018/19. 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.