Main content

German original

Project Work Data Science
(dt. Projektarbeit Data Science)

Level, degree of commitment in original study programme Practical module, required module
Forms of teaching and learning,
workload
Selbstständige Einarbeitung und Ausführung der ges,
360 hours (360 h private study)
Credit points,
formal requirements
12 CP
Course requirement:
Examination type: Software development (joint delivery of the developed system) with internship report (documentation of the developed solutions or solution approaches) and oral presentation of the results.
Language,
Grading
German oder nach Absprache mit dem Betreuer in English.,
Das Modul ist unbenotet gemäß der Prüfungsordnung für den Studiengang M.Sc. Data Science.
Original study programme M.Sc. Data Science / Profil- und Praxismodule
Duration,
frequency
Two semesters,
each semester
Person in charge of the module's outline All lecturers of Computer Sciences und 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

Unchecked automatic translation:
- Working on an extensive task from computer science / data science in a team of several students; development, adaptation, extension and development of problem-relevant methods; instruction of participants to learn, plan and work independently,

  • Practice of project management and monitoring methods, e.g.: goal descriptions, planning, milestones, keeping minutes, deadlines, delegation, controlling; practice of team-related social skills: Cooperation, team development, leadership, motivation, well-structured team, working under deadline pressure,
  • Mastery of methods of documentation and presentation of IT projects for users and third parties in the form of program documentation, project reports and, if necessary, publications.

Prerequisites

None.


Recommended Reading

  • Je nach Entwicklungsaufgabe



Please note:

This page describes a module according to the latest valid module guide in Wintersemester 2020/21. 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:

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.