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TUM Department of Informatics
Technical University of Munich

Technical University of Munich

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Seminar: Data Assimilation

Seminar for computer science master students (IN2107).

Description

Data assimilation is the process of fitting dynamical systems (physical models) to observational data. As such, these algorithms are a key component in numerical weather prediction systems, which are used, for example, at the ECMWF. We will understand the problem statement and evaluate several solution strategies. To implement these algorithms, we will work with the paradigm of differentiable programming.

After an initial meeting, the seminar will be held as a one week block seminar in the middle of the semester.

Material and Schedule

Seminar material and the schedule can be accessed here.

Organization

General
Pre-meeting
  • Date: Tuesday, July 14, 2020
  • Time: 10am
  • Location: Online, Zoom-Link and password are provided in the TUM Online description of this seminar; you need to be logged in to see this
Initial meeting
  • Date: Tuesday, November 10, 2020
  • Time: 12pm
  • In this meeting, we will distribute topics.
Registration
  • Registration is done via the TUM matching platform
  • Attendance in the seminar sessions is mandatory
  • Preference is given to students with a pertinent background in relevant fields of applied mathematics (Linear Algebra, Analysis, Numerical Optimization, Probability/Stats) and experience with scientific programming in Python (numpy, scipy).
  • Important: When registering at the TUM matching platform, please also send an email to DA-seminar@vision.in.tum.de in which you write your full name, matriculation number and where you state and prove prior exposure to these topics, e.g., with a transcript of records, prior course projects etc..
Block Seminar Week
  • We will hold a block seminar, December 14 - December 16, 12-1.30pm.
  • This way the seminar does not conflict with the exam period and the evening times hopefully avoid conflicts with other lectures.
  • All talks are held in English.
Final Report

Final reports should be written in LaTeX. A template will be provided.

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Chair of Computer Vision & Artificial Intelligence

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85748 Garching info@vision.in.tum.de

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