Main content
This entry is from Winter semester 2019/20 and might be obsolete. You can find a current equivalent here.
CS 562 — Visual Languages
(dt. Visuelle Sprachen)
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 as well as at least 2 presentations of the tasks. Examination type: Oral or written examination |
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, unregelmäßig |
Person in charge of the module's outline | Prof. Dr. Gabriele Taentzer |
Contents
Software development increasingly uses languages that allow the developer to visually design, implement, test, and manage the software to be developed. These include modeling languages such as the Unified Modeling Language (UML), but also SDL, Petri nets and statecharts. Not quite as well known are visual programming languages such as ProGraph. Visual development environments such as Eclipse and AndroidStudio contain components for the visual management of software projects, for the visual implementation of graphical user interfaces as well as for software visualizations. We will take a closer look at different concrete visual languages and development environments and discuss the advantages and disadvantages of their visual concepts. The possibilities and limits of visual languages in the software development process are discussed.
Qualification Goals
Aim of the module:
- Understanding the differences between textual and visual languages,
- Learning different methods for defining visual languages,
- Basic knowledge of designer tools for visual languages,
- Getting familiar with an unknown visual language and its evaluation using a small test application,
- Practice of scientific working methods (recognition, formulation, solving problems, training of abstraction skills),
- Training of oral communication skills in the exercises by practicing free speech in front of an audience and during discussion.
Prerequisites
None. The competences taught in the following modules are recommended: Object-oriented Programming, either Algorithms and Data Structures or Practical Informatics II: Data Structures and Algorithms for Pre-Service-Teachers, System Software and Computer Communication, Software Engineering, either Software Lab or Software Lab for Business Informatics.
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. Business Informatics, this module can be attended in the study area Specialization 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 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:
- 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.