Main content
CS 220 — Programming Lab
(dt. Programmierpraktikum)
Level, degree of commitment | Practical module, required module |
Forms of teaching and learning, workload |
Internship (4 SWS), 180 hours (60 h attendance, 120 h private study) |
Credit points, formal requirements |
6 CP Course requirement(s): Software development. Attendance is compulsory. Examination type: Presentation |
Language, Grading |
German,The module is ungraded in accordance with the examination regulations for the degree program B.Sc. Computer Science. |
Duration, frequency |
One semester, each summer semester during the lecture-free period |
Person in charge of the module's outline | Prof. Dr. Gabriele Taentzer, Prof. Dr. Bernhard Seeger |
Contents
In this module, the competences acquired in Practical Computer Science I and II are to be deepened and practiced on the basis of larger tasks. In particular, the following aspects should be addressed in the tasks being solved in small groups on site:
- Requirement specification
- Object-oriented development methods
- Design patterns in object-oriented programming
- Use of efficient data structures
- Generic programming with Lambdas.
- Components and modularization
- Quality assurance (e.g. module and integration tests)
Qualification Goals
Students are able to
- solve larger programming problems,
- deal with software development environments and the reuse of software libraries to create larger programs,
- select, test, evaluate and apply appropriate computer science methods to given problems,
- process and document the results achieved in writing in an appropriate manner,
- solve tasks in an organized manner using teamwork.
Prerequisites
None. The competences taught in the following modules are recommended: Object-oriented Programming, Declarative Programming, Algorithms and Data Structures.
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
- BA Minor Computer Science
When studying B.Sc. Data Science, this module must be completed in the study area Practical Modules.
Recommended Reading
(not specified)
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.