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KCDS Virtual Open House

Author

Uwe Ehret, Martin Frank

Participating institute

KIT-Zentrum Mathematik in den Natur-, Ingenieur- und Wirtschaftswissenschaften (KIT-Zentrum MathSEE)

Genre

Veranstaltung

Description

Meet KIT Graduate School Computational and Data Science in our virtual open house! Find out more about the graduate school and current doctoral projects.

Published on

31.03.2023

Subject area

Computer science

License

Creative Commons Attribution – NonCommercial – ShareAlike 4.0 International

Note

You can subscribe to the contributions of this series as a podcast.

Embed Code

<iframe width="640" height="360" src="https://medienportal.bibliothek.kit.edu/play/DIVA-2023-C3" allowFullScreen="true" style="border: 0; overflow: hidden;"></iframe>

Episodes 1-7 of 7

KCDS Virtual Open House - Introduction and presentation of KCDS

KCDS Virtual Open House - Project 04 Exploring the Potential of machine learning methods for improving operational hydrological forecasting and prediction (EPOforHydro)

KCDS Virtual Open House - Project 03 Optimization and acceleration of aerosol dynamics and chemistry subprocesses in weather and climate models

KCDS Virtual Open House - Project 02 Deep Boltzmann - Structure-preserving deep neural networks to accelerate the solution of the Boltzmann equation

KCDS Virtual Open House - Project 01 Logics for dynamical systems and practical theorem proving tools

KCDS Virtual Open House - How To Apply to KCDS

KCDS Virtual Open House - Project 06 Theoretical and Empirical Analysis of Matheuristics