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Reveal.js-Präsentation (mit Markdown Preview Enhanced) für die GitLab-Schulung an der TUHH, 21./22.11.2017

Reveal.js-Präsentation (mit Markdown Preview Enhanced) für die GitLab-Schulung an der TUHH, 21./22.11.2017

Begleitende Präsentation für den GitLab-Workshop an der HAW, 03.07.2018

Begleitende Präsentation für den GitLab-Workshop an der TUHH, 21. und 22. November 2018

Strukturierende Folien für den HOS-Workshop am 25.04.2019 an der TUHH

TU-interne Fortbildung "Forschen und Lehren mit Jupyter Notebook"

Präsentationsbeitrag "Didaktische Potenziale und ethische Implikationen von KI und Video in der Hochschullehre", ViTeach 2022

Vortrag zu "Tools, Formate und Workflows im Bereich Single-Source-Publishing" auf der Mediale Hamburg 2022 an der BMK Hamburg, 22.09.2022

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.

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.

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.

Example plain HTML site using GitLab Pages: https://pages.gitlab.io/plain-html

Scripts to automate account applications at the TUHH

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.