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CSE Seminar

IN2183Scientific Computing - Required Modules5 ECTSEnglishWintersemester/SommersemesterDepartment Computer Science
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 from Computational Science and Engineering (CSE). You independently work on a subtopic, present your results to the group, and write an accompanying seminar paper. In the end you can select scientific literature, summarize a topic, and present it both in writing and orally in an understandable way.

What you will be able to do

  • Acquire knowledge on a clearly defined CSE topic independently
  • Scientific writing (structure and style of papers)
  • Scientific presentation (presentation structure and use of media)
  • Identify and evaluate relevant professional literature
  • Write a seminar paper (8–10 pages)
  • Identify and discuss aspects of reproducibility
  • Give and receive constructive feedback
  • Strengthen discipline-specific communication skills

What the module consists of

  • SeminarYou work on a single topic, present to the plenary and discuss your fellow students' presentations; partly collaboration on closely related topics
  • SelbststudiumIndependent research and elaboration of the seminar paper and the presentation

Teaching method

  • Themenauswahl durch LehrendeDetermines the overarching seminar topic and the individual topics of the participants
  • Einzel- und GruppenarbeitYou independently work on individual subtopics; for closely related topics you coordinate with other students
  • Tutorielle BetreuungTeachers and tutors support in literature selection and subject-specific questions
  • PlenumssitzungenPresentations and subsequent discussions to practise presentation technique and technical exchange
  • Peer-ReviewMutual feedback on seminar papers and presentations to foster communication and assessment skills

Dates

SeminarSeminar - Selected Topics in Machine Learning Research (IN2107, IN4872)

  • Tue14:00–16:0001.13.010, Seminarraum (5613.01.010)
    15× · 13.10.–02.02.
    • 13.10.
    • 20.10.
    • 27.10.
    • 03.11.
    • 10.11.
    • 17.11.
    • 24.11.
    • 01.12.
    • 08.12.
    • 15.12.
    • 22.12.
    • 12.01.
    • 19.01.
    • 26.01.
    • 02.02.

SeminarSeminar - Deep Learning in Computer Graphics (IN2107, IN0014, IN4858)2 groups to choose from

  • ATue14:00–16:0002.13.010, Seminarraum (5613.02.010)
    15× · 13.10.–02.02.
    • 13.10.
    • 20.10.
    • 27.10.
    • 03.11.
    • 10.11.
    • 17.11.
    • 24.11.
    • 01.12.
    • 08.12.
    • 15.12.
    • 22.12.
    • 12.01.
    • 19.01.
    • 26.01.
    • 02.02.
  • BMon13:00–15:00Online: Videokonferenzonce on 29.06.

SeminarSeminar Energy Informatics (IN0014, IN2017, IN2183, EI8040)

  • Wed15:00–16:30N3815, Seminarraum (0108.03.815)
    15× · 14.10.–03.02.
    • 14.10.
    • 21.10.
    • 28.10.
    • 04.11.
    • 11.11.
    • 18.11.
    • 25.11.
    • 02.12.
    • 09.12.
    • 16.12.
    • 23.12.
    • 13.01.
    • 20.01.
    • 27.01.
    • 03.02.

SeminarSeminar Computational Aspects of Machine Learning (IN2107,IN0014, IN2183)2 groups to choose from

  • AThu13:00–13:3002.07.023, Seminarraum (Inf. 2/5) (5607.02.023)once on 02.07.
  • BWed10:00–12:0002.07.023, Seminarraum (Inf. 2/5) (5607.02.023)
    14× · 14.10.–03.02.
    • 14.10.
    • 21.10.
    • 04.11.
    • 11.11.
    • 18.11.
    • 25.11.
    • 02.12.
    • 09.12.
    • 16.12.
    • 23.12.
    • 13.01.
    • 20.01.
    • 27.01.
    • 03.02.

SeminarSeminar - Deep Learning in Physics (IN2107, IN0014, IN4939)2 groups to choose from

  • AWed14:00–16:0002.13.010, Seminarraum (5613.02.010)
    15× · 14.10.–03.02.
    • 14.10.
    • 21.10.
    • 28.10.
    • 04.11.
    • 11.11.
    • 18.11.
    • 25.11.
    • 02.12.
    • 09.12.
    • 16.12.
    • 23.12.
    • 13.01.
    • 20.01.
    • 27.01.
    • 03.02.
  • BMon13:00–15:00Online: Videokonferenzonce on 29.06.

SeminarScientific Seminar Quantum Networks

  • Mon11:30–13:00N0116, Seminarraum (0101.EG.116)
    15× · 12.10.–01.02.
    • 12.10.
    • 19.10.
    • 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.

LectureComputational Flow Stability and Transition

  • Wed12:45–15:151701, Seminarraum (5507.01.701)
    15× · 14.10.–03.02.
    • 14.10.
    • 21.10.
    • 28.10.
    • 04.11.
    • 11.11.
    • 18.11.
    • 25.11.
    • 02.12.
    • 09.12.
    • 16.12.
    • 23.12.
    • 13.01.
    • 20.01.
    • 27.01.
    • 03.02.

ExerciseExercises on Computational Flow Stability and Transition

  • Thu10:00–11:301701, Seminarraum (5507.01.701)
    14× · 15.10.–04.02.
    • 15.10.
    • 22.10.
    • 29.10.
    • 05.11.
    • 12.11.
    • 19.11.
    • 26.11.
    • 10.12.
    • 17.12.
    • 07.01.
    • 14.01.
    • 21.01.
    • 28.01.
    • 04.02.

SeminarScientific Seminar Quantum Information Processing Devices

  • Thu11:30–13:00N0116, Seminarraum (0101.EG.116)once on 15.10.
  • Thu11:30–13:00N0507, Seminarraum-MST/LSR (0105.EG.507)
    13× · 22.10.–04.02.
    • 22.10.
    • 29.10.
    • 05.11.
    • 12.11.
    • 19.11.
    • 26.11.
    • 10.12.
    • 17.12.
    • 07.01.
    • 14.01.
    • 21.01.
    • 28.01.
    • 04.02.

SeminarSeminar in Methods for Molecular Dynamics (IN2107, IN218308)

  • Tue12:00–14:0000.08.055, Seminarraum (5608.EG.055)
    15× · 13.10.–02.02.
    • 13.10.
    • 20.10.
    • 27.10.
    • 03.11.
    • 10.11.
    • 17.11.
    • 24.11.
    • 01.12.
    • 08.12.
    • 15.12.
    • 22.12.
    • 12.01.
    • 19.01.
    • 26.01.
    • 02.02.

Advanced seminarScientific Seminar Quantum Engineering and Machine Learning

  • Wed09:45–11:15Online: Videokonferenz
    14× · 14.10.–03.02.
    • 14.10.
    • 21.10.
    • 04.11.
    • 11.11.
    • 18.11.
    • 25.11.
    • 02.12.
    • 09.12.
    • 16.12.
    • 23.12.
    • 13.01.
    • 20.01.
    • 27.01.
    • 03.02.

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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