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This entry is from Winter semester 2016/17 and might be obsolete. No current equivalent could be found.

CS 694 — Project Work
(dt. Projektarbeit)

Level, degree of commitment Practical module, required module
Forms of teaching and learning,
workload
Independent familiarization and execution of the assigned task,
360 hours (360 h private study)
Credit points,
formal requirements
12 CP
Translation missing. German original:
Softwareerstellung (gemeinsame Auslieferung des erstellten Systems). Praktikumsbericht (Dokumentation der erarbeiteten Lösungen bzw. Lösungsansätze) und mündliche Präsentation der Ergebnisse.
Language,
Grading
German or nach Absprache mit dem Betreuer in English.,
The module is ungraded in accordance with the examination regulations for the degree program M.Sc. Data Science.
Duration,
frequency
Two semesters,
each semester
Person in charge of the module's outline All lecturers of Computer Science and Mathematics

Contents

Knowledge, methods and techniques from sub-areas of computer science are applied to a concrete problem. Procedure:

  • Familiarisation with and study of the literature relevant to the project
  • Project definition, planning and presentation of the project and its parts in the form of seminar presentations after the induction phase.
  • Structuring of the project into partial problems, scheduling of the processing of partial problems and the integration of partial solutions, definition of subgroups for the processing of partial tasks, definition of interfaces, etc.
  • Documentation and operating instructions for software systems
  • Monitoring the progress of the work and adherence to the schedule.
  • Preparation of a final report containing a systematic description of the problem dealt with and the solution adopted, a description of the factual and temporal structuring of the problem handling and the compilation and discussion of the results obtained.
  • Presentation of the completed project in a public lecture

Qualification Goals

  • Working on a comprehensive problem from the field of computer science in a team of several students; working out, adapting, extending and developing methods relevant to the problem; guiding participants to learn, plan and work independently
  • Practicing project management and monitoring methods, e.g.: goal descriptions, planning, milestones, keeping minutes, deadlines, delegation, controlling; practicing team-related social skills: Collaboration, team development, leadership, motivation, well-structured staff team, working under deadline pressure.
  • Mastery of methods of documenting and presenting information technology projects to users and third parties in the form of program documentation, project report, and publications as appropriate.

Prerequisites

None


Applicability

The module can be attended at FB12 in study program(s)

  • M.Sc. Data Science

When studying M.Sc. Data Science, this module must be completed in the study area Profile and Practical Modules.


Recommended Reading

  • Depending on the development task



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 (no corresponding element)
  • Winter 2018/19 (no corresponding element)
  • Winter 2019/20 (no corresponding element)
  • Winter 2020/21 (no corresponding element)
  • Summer 2021 (no corresponding element)
  • Winter 2021/22 (no corresponding element)
  • Winter 2022/23 (no corresponding element)
  • Winter 2023/24 (no corresponding element)

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.