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

CS 340 — Software Engineering
(dt. Softwaretechnik)

Level, degree of commitment Advanced module, required 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): Oral or written examination
Examination type: Successful completion of at least 50 percent of the points from the weekly exercises as well as at least 2 presentations of the tasks.
Language,
Grading
German,
The grading is done with 0 to 15 points according to the examination regulations for the degree program B.Sc. Computer Science.
Duration,
frequency
One semester,
each winter semester
Person in charge of the module's outline Prof. Dr. Gabriele Taentzer

Contents

Basic concepts, techniques, methods and processes for the development of larger software systems are taught.


Qualification Goals

Basic knowledge and skills regarding concepts, techniques, methods and processes for the development of larger software systems. These include basic knowledge and skills with regard to

  • the analysis and modelling of problems from application areas,
  • data and process modeling,
  • design principles, modularization and software architecture,
  • test procedures for software systems,
  • version management of software systems,
  • project management, quality assurance and software evolution.

Prerequisites

Translation is missing. Here is the German original:

Keine. Empfohlen werden die Kompetenzen, die in den Modulen Objektorientierte Programmierung und Datenstrukturen und Algorithmen vermittelt werden.


Applicability

Module imported from B.Sc. Computer 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. Mathematics
  • M.Sc. Business Mathematics
  • LAaG Computer Science

When studying B.Sc. Data Science, this module must be completed in the study area Advanced Modules in Computer Science.


Recommended Reading

  • Will be announced in the module announcement.



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.