inf900 - Group Project (Course overview)

inf900 - Group Project (Course overview)

Department of Computing Science 24 KP
Semester courses Wintersemester 2022/2023
Lehrveranstaltungsform: Project group
  • No access 2.01.900-N - Projektgruppe MARVEL Show lecturers
    • Janusz Andrzej Piotrowski, M. Sc.
    • Prof. Dr. Axel Hahn

    Tuesday: 10:00 - 16:00, weekly (from 19/04/22), Freies Arbeiten
    Tuesday: 10:15 - 11:45, weekly (from 18/10/22)
    Tuesday: 12:15 - 17:45, weekly (from 18/10/22)
    Tuesday: 16:00 - 18:00, weekly (from 26/04/22), Wöchentliches Treffen
  • No access 2.01.900-O - Projektgruppe MANGO Show lecturers
    • Christian Julius Möller
    • Prof. Dr. Axel Hahn

    Friday: 13:00 - 15:00, weekly (from 22/04/22)
  • No access 2.01.900-Q - Projektgruppe Energieinformatik Show lecturers
    • Prof. Dr. Sebastian Lehnhoff
    • Frauke Oest
    • Jörg Bremer
    • Emilie Frost

    Dates on Thursday, 12.05.2022 10:00 - 16:00, Friday, 13.05.2022 14:00 - 18:00, Tuesday, 07.06.2022, Tuesday, 14.06.2022, Tuesday, 21.0 ...(more)
  • No access 2.01.900-R - Projektgruppe Data Science VLBA Show lecturers
    • Prof. Dr. Jorge Marx Gómez
    • Rene Kessler, M. Sc.
    • Marius Wybrands
    • Michael Mattern
    • Dr.-Ing. Andreas Solsbach

    Dates on Thursday, 07.04.2022, Thursday, 14.04.2022, Thursday, 21.04.2022, Thursday, 28.04.2022, Thursday, 05.05.2022, Thursday, 12.05.2 ...(more)
  • No access 2.01.9001 - PG INFRASense Show lecturers
    • Barbara Bremer-Rapp
    • Prof. Dr. Jorge Marx Gómez
    • Johannes Schering

    The course times are not decided yet.
  • No access 2.01.9004 - PG Multimodal Multisensor Interaction - II Show lecturers
    • Prof. Dr. Daniel Sonntag
    • Bengt Lüers
    • Michael Barz, M. Sc.

    The course times are not decided yet.
  • No access 2.01.9005 - PG How to grow plants online (fast) Show lecturers
    • Prof. Dr. Andreas Winter
    • Oliver Theel
    • Marvin Banse
    • Florian Schmalriede

    Dates on Thursday, 05.10.2023 10:00 - 16:00
Hinweise zum Modul
Prerequisites
- Programming course
- Software Engineering
- Soft Skills
Reference text
Die zur Auswahl stehenden Themen der Projektgruppen werden in der Regel zum Ende der Vorlesungszeit des vorangehenden Semesters vorgestellt.
Im Anschluss daran besteht die Möglichkeit zur Anmeldung zu einem Thema.
Nur die Themen, die eine Mindestzahl von Anmeldungen haben, werden tatsächlich als Veranstaltungen angeboten.
 
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