inf900 - Group Project

inf900 - Group Project

Department of Computing Science 24 KP
Semester courses
Form of instruction: Project group
  • No access 2.01.9010 - Show lecturers
    • Prof. Dr. Jorge Marx Gómez
    • Marius Wybrands

    Monday: 13:00 - 14:00, weekly (from 01/04/19), Wöchentliches PG Treffen mit Betreuern
  • No access 2.01.9011 - Show lecturers
    • Prof. Dr. Susanne Boll-Westermann
    • Dr. rer. nat. Marion Koelle
    • Christian Kowalski, M. Sc.
    • Sebastian Weiß

    Dates on Monday, 01.04.2019 15:00 - 16:00, Friday, 05.04.2019 09:00 - 15:00
  • No access 2.01.9012 - Show lecturers
    • Prof. Dr. Jorge Marx Gómez

    Dates on Thursday, 06.06.2019 17:00 - 22:00, Tuesday, 31.03.2020 15:00 - 18:00
  • No access 2.01.9013 - Show lecturers
    • Prof. Dr. Axel Hahn
    • Dr.-Ing. Sovanna Chhoeung
    • Dr.-Ing. Arne Lamm
    • David Reiher, M. Sc.

    Thursday: 14:00 - 16:00, weekly (from 11/04/19), Treffen und Besprechung mit den Betreuern im OFFIS Softwarelabor
    Dates on Thursday, 04.04.2019 14:00 - 16:00
  • No access 2.01.9014 - Show lecturers
    • Prof. Dr. Sebastian Lehnhoff
    • Dr.-Ing. Eric Veith
    • Lars Fischer

    The course times are not decided yet.
  • No access 2.01.9019 - Show lecturers
    • Prof. Dr. Werner Damm
    • Prof. Dr. Martin Georg Fränzle
    • Dr.-Ing. Willem Hagemann
    • Günter Ehmen
    • Stefan Puch

    The course times are not decided yet.
Hinweise zum Modul
Prerequisites
- Programming course
- Software Engineering
- Soft Skills
Prüfungszeiten
At the End of the semester term
Module examination
Active involvement, presentation, final report, project assessment
Skills to be acquired in this module
The students get familiar with different software development aspects in a team. Apart from software engineering knowledge and skills they develop key competences like project management, teamwork, problem solving competence and conflict management. Additionally, students develop special knowledge, skills and competences from the project group topic.
Professional competence
The students:
  • characterise and apply computer science basics (algorithms, data structures, programming, basics of practical, technical and theoretical computer science)
  • define und describe essential mathematical, logical and physical basics of computer science
  • define and illustrate the core disciplines of computer science (theoratical, practical and technical computer science)
Methodological competence
The students:
  • examine problems, use formal methods to phrase and analyze them appropriately
  • evaluate problems by the use of technical and scientific literature
  • reflect on a scientific topic and write a scientific seminar paper under guidance and present their findings
Social competence
The students:
  • integrate criticism into their own actions
  • respect team decisions
  • communicate with users and experts convincingly
Self-competence
The students:
  • take on project management tasks
  • pursue the overall and special computer science development critically
  • implement innovative professional activities effectively and independently 
  • recognise their abilities and extend them purposefully
  • reflect their self-perception and actions with regard to professional, methodological and social aspects
  • develop and reflect self-developed hypotheses to theories independently
  • work in their field independently

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