Main content
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 examination (individual examination) or written examination |
Language, Grading |
English,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
Students will
- Have an understanding of the differences between textual and visual languages,
- know methods for defining visual languages,
- have basic knowledge of using designer tools for visual languages,
- are able to familiarize themselves with an unfamiliar visual language and evaluate it using a small test application,
- are able to apply scientific working methods when independently identifying, formulating and solving problems,
- are able to speak freely about scientific content, both in front of an audience and in a 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. Data Science, this module can be attended in the study area Free Compulsory Elective Modules.
The module is assigned to Computer Science. Further information on eligibility can be found in the description of the study area.
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 2023/24. 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.