Main content

This entry is from Winter semester 2022/23 and might be obsolete. No current equivalent could be found.

CS 632 — Large Specialization Module Software Engineering
(dt. Großes Vertiefungsmodul Softwaretechnik)

Level, degree of commitment Specialization module, compulsory elective module
Forms of teaching and learning,
workload		 Lecture (4 SWS), recitation class (2 SWS),
270 hours (90 h attendance, 180 h private study)
Credit points,
formal requirements		 9 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. Business Informatics.
Duration,
frequency		 One semester,
irregular
Person in charge of the module's outline Prof. Dr. Gabriele Taentzer

Contents

Based on the basic modules in computer science, more in-depth topics from the field of software engineering are considered.


Qualification Goals

The students shall

  • acquire in-depth knowledge and skills in the field of software engineering,
  • Practice working methods from modern software development (recognizing problems, developing solutions, training abstraction skills, using tools, iterative development),
  • learn about and apply the development of theoretical concepts and empirical studies in the field of software engineering,
  • 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. Business Informatics.

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 2022/23. 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.