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Advanced Seminar Operations & Technology: Machine Learning

MGTHN0195Digital Technology6 ECTSEnglishWintersemester/SommersemesterProfessur für Transportation Analytics (Prof. Li) (TUM Campus Heilbronn)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

In this Advanced Seminar you will explore current Machine Learning topics from fundamentals-oriented methods to modern Deep Learning approaches. By the end you will be able to understand important research papers of the last years, present scientifically, and compose short reviews as well as assess first applications in industrial contexts.

What you will be able to do

  • Understanding front-tier Machine-Learning-Papers
  • Fundamental understanding of ML models and research approaches
  • Assessing the application of ML results in industrial contexts
  • Scientific presentation
  • Scientific writing (Review Essay)

What the module consists of

  • Seminarregular group presentations and discussions on paper reviews
  • In-class Tasksshort, group-based tasks at the end of each session for in-depth study

Teaching method

  • Reverse ClassroomFoundations are prepared outside the session; presence time serves for presentation, discussion and task work
  • Gruppenarbeitcollaborative preparation and presentation of research works

Dates

SeminarAdvanced Seminar Operations & Technology: Machine Learning (MGTHN0195)

  • Tue14:15–17:45B.0.23, Seminarraum (1910.EG.023B)
    8× · 13.10.–26.01.
    • 13.10.
    • 27.10.
    • 10.11.
    • 24.11.
    • 08.12.
    • 22.12.
    • 12.01.
    • 26.01.

From the current semester, not binding.

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Official page in TUMonline · Details are not binding.