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Seminar Maschinelle Intelligenz

EI77691Examination Performance5 ECTSGerman/EnglishWintersemester/SommersemesterDepartment Computer Engineering
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You engage with a current research topic in artificial intelligence. Together with fellow students you read an introductory book, research the state of the art and extrapolate future research trends in order to summarize the results in the form of a trend report / book.

What you will be able to do

  • Analyze and evaluate current information on artificial intelligence with regard to research relevance
  • Develop and academically present a forward-looking research plan based on current research trends

What the module consists of

  • SeminarDevelopment, discussion and written summary of contents; writing contributions for the trend report book
  • Teamarbeit/RedaktionsteamsProcessing and representation of sub-aspects of the topic
  • PräsentationenRegular presentation of the research progress

Teaching method

  • Gemeinsame Lektüre eines thematisch passenden BuchsIntroduction to the topic and starting point for discussions and essays
  • Recherche und DiskussionDevelopment of the current state of research and identification of trends
  • Teamorientiertes Arbeiten / RedaktionsteamsCreation and alignment of contributions for the trend report
  • Peer-Review von EssaysQuality assurance and feedback process for written contributions

Dates

SeminarWissenschaftliches Seminar Maschinelle Intelligenz2 groups to choose from

  • AMon15:00–16:30Z995, Seminarraum (0509.Z1.995)
    13× · 26.10.–01.02.
    • 26.10.
    • 02.11.
    • 09.11.
    • 16.11.
    • 23.11.
    • 30.11.
    • 07.12.
    • 14.12.
    • 21.12.
    • 11.01.
    • 18.01.
    • 25.01.
    • 01.02.
  • BMon16:45–18:15Z995, Seminarraum (0509.Z1.995)
    2× · 26.10.–02.11.
    • 26.10.
    • 02.11.

From the current semester, not binding. You attend one of several groups; the timetable automatically suggests the one with the fewest clashes.

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Official page in TUMonline · Details are not binding.