back to search

TUM Data Innovation Lab

MA8113Master's Modules10 ECTSGerman/EnglishWintersemester/SommersemesterDepartment Mathematics
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

In the TUM Data Innovation Lab you work in your Master's program in small, interdisciplinary teams on real data-driven projects from science or industry. In the end you will be able to process, analyze and visualize data, implement numerical solutions, and present your results both technically and in an understandable way.

What you will be able to do

  • Formulate practical questions mathematically and develop solution approaches
  • Apply data analysis and technical methods
  • Implement numerical algorithms
  • Evaluate different solution methods
  • Assess and interpret results with respect to the application
  • Create project plans and monitor progress
  • Apply project management techniques
  • Present results scientifically and non-scientifically
  • Collaborate interdisciplinarily in a team

What the module consists of

  • Praktikum/ProjektarbeitWorking on a concrete data-related project in teams (3–4 students)
  • PresentationOral presentation of the project results to an audience
  • Written reportDetailed documentation of the project (approx. 25 pages)

Teaching method

  • Teamwork under supervision of a mentor and lab coordinatorEnables collegial collaboration, regular coordination and supervision
  • Independent research and selection of solution toolsEnsures the development of practically applicable approaches
  • Project management with milestonesStructures the work and ensures progress until the end of the internship
  • Regular meetings and feedbackEnable control, development and constructive criticism
No dates in the current semester
There are no course dates for this module this semester, or they haven't been matched yet.
Show TUMonline data
Sprache
Deutsch/Englisch
Turnus
Wintersemester/Sommersemester
Modulniveau
Master
Moduldauer
Einsemestrig
Gesamtstunden
300
Präsenzstunden
90
Eigenstudiumstunden
210
Organisationsname
Department Mathematics

Courses

  • TUM Data Innovation Lab
  • TUM Data Innovation Lab

Official page in TUMonline · Details are not binding.