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Wir sammeln Tipps zu CSS & Co.
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Reveal.js-Präsentation (mit Markdown Preview Enhanced) für die GitLab-Schulung an der TUHH, 21./22.11.2017
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Reveal.js-Präsentation (mit Markdown Preview Enhanced) für die GitLab-Schulung an der TUHH, 21./22.11.2017
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Begleitende Präsentation für den GitLab-Workshop an der TUHH, 21. und 22. November 2018
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Strukturierende Folien für den HOS-Workshop am 25.04.2019 an der TUHH
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TU-interne Fortbildung "Forschen und Lehren mit Jupyter Notebook"
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Präsentationsbeitrag "Didaktische Potenziale und ethische Implikationen von KI und Video in der Hochschullehre", ViTeach 2022
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Vortrag zu "Tools, Formate und Workflows im Bereich Single-Source-Publishing" auf der Mediale Hamburg 2022 an der BMK Hamburg, 22.09.2022
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This dataset entails MATLAB code that implements: (1) Bioreactor calibration, (2) Image preprocessing, (3) Lagrangian LED Particle recognition, (4) Image distortion removal and (5) Particle track recognition, written by Maximilian Kamp.
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This dataset entails PYTHON code for fluid mechanic evaluation of Lagrangian Particles with the "Consensus-Based tracking with Selective Rejection of Tracklets" (CSRT) algorithm in the "OpenCV" library, written by Ryan Rautenbach.
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This project entails MATLAB code and further information for Lagrangian particle tracking velocimetry in a 3 L lab scale stirred tank reactor, originally written by Nikki Indresh Lal.
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Example plain HTML site using GitLab Pages: https://pages.gitlab.io/plain-html
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Scripts to automate account applications at the TUHH
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This project describes alternative ways to calculate kinetic parameters of enzymatic reactions based on AED calculation. Currently, the database includes uni-uni reactions as well as bi-bi reactions following a disordered random mechanism.
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