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This entry is from Winter semester 2016/17 and might be obsolete. You can find a current equivalent here.
CS 507 — Modern Methods of System Development
(dt. Moderne Methoden der Systementwicklung)
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): 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 M.Sc. Computer Science. |
Duration, frequency |
One semester, irregular |
Person in charge of the module's outline | All lecturers of Computer Science |
Contents
Contents of the newer research from the area of system development are treated. The special technical orientation of the module is determined by the lecturer.
Qualification Goals
The aim of the module is the communication of new research results published in national and international journals as well as at conferences in the field of practical computer science. In addition, scientific working methods (recognizing, formulating, solving problems, training abstract ability) are practiced and oral communication skills are trained 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 Objektorientierte Programmierung sowie Algorithmen und Datenstrukturen vermittelt werden
Applicability
Module imported from M.Sc. Computer Science.
It can be attended at FB12 in study program(s)
- B.Sc. Computer Science
- M.Sc. Data Science
- M.Sc. Computer Science
- M.Sc. Mathematics
- M.Sc. Business Informatics
- LAaG Computer Science
When studying M.Sc. Data Science, this module can be attended in the study area Specialization Modules in Computer Science.
Recommended Reading
- Depending on thematic focus.
Please note:
This page describes a module according to the latest valid module guide in Winter semester 2016/17. 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:
- Winter 2016/17
- Summer 2018
- Winter 2018/19
- Winter 2019/20
- Winter 2020/21
- Summer 2021
- Winter 2021/22
- Winter 2022/23
- Winter 2023/24
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.