Introduction
Jupyter as a Service from dataLAB offers lecturers and students a well integrated environment for data science, machine learning and programming classes. Each class gets its own fully customized JupyterHub with guarantied hardware resources necessary to solve the given exercises.
Features Summary
- Tuwel integration
- Exercise distribution and grading with our Grader Service
- Individual software stack for each class
- Virtual Desktop for GUI applications
- VSCode Server in Browser
- Powerful hardware platform
- GPU Support (starting winter term 2023)
Hands on video
Useful Links
- https://jupyterlab.readthedocs.io/en/latest/
- https://grader-service.readthedocs.io/en/latest/
- https://jupyterbook.org/intro.html
Mailing List
Get a JupyterHub for your lecture
Lectures using JupyterHubs
WS 2024
- AKNUM Scientific Computing
- 105.618 Praxis der Optimierung 2024W
- 120.030 Microwave Remote Sensing
- 120.060 Auswertung von geophysikalischen Daten
- 120.109 Topographische und hydrographische Modelle
120.116 Einfuehrung in das Programmieren I fuer Geodaesie,Geoinformation und Umweltingenieurwesen
- 120.136 Model-Data Integration in Earth System Science
- 122.426 Angewandte Fernerkundung
- 138.100 Steuerung und Auswertung von Experimenten
- 165.008 Physik/Physikal.-chem. Praktikum
- 165.144 Simulation von kondensierter Materie
- 165.166 Introduction to theoretical chemistry
- 188.995 Datenorientierte Programmierparadigmen
- 191.125 Scientific Programming with Python
- 192.039 Deep Learning for Natural Language Processing
- 192.103 Grundkonzepte der Datenanalyse und Visualisierung
- 194.154 Generative AI
- 194.025 Einführung in Machine Learning
- 194.039 Intelligent Audio and Music Analysis
- 194.050 Social Network Analysis
- 194.150 Probabilistic Programming and AI
- 222.565 Hydraulik
- 259.014 Instruments and Scientific Writing
- 259.078 Building Monitoring and Diagnostics
- 259.090 Wahlseminar Current Topics in Building Physics
- 317.017 Einführung in die Finite Elemente Methoden
- 322.085 Numerische Methoden der Strömungsmechanik
- 362.129 Halbleiterphysik
- 389.204 Machine Learning Algorithms
- Interdisciplinary Project in Datascience at the ILSB
- Data Science Projects in Remote Sensing
- Python4Natur
- Quantitatives Analytisches Praktikum - Statistik Beispiel
- Bachelor and Master Thesis in Remote Sensing
- 790103 Praktischer Einstieg in die Programmierung
- 790303 Computing skills for biotechnology
- 790396 Introduction to programming
- 814329 Meteorological data analysis and visualization
- 814335 Atmospheric and climate modelling
- 857323 Advanced methods in remote sensing: Machine learning and cloud computing
SS 2024
- 105.632 Model-based Decision Support (VU 2,0) 2024S
- 105.730 Modellierung dynamischer Umweltsysteme (VU 2,0) 2024S
- 120.081 Klima- und Umweltfernerkundung (VU 2,0) 2024S
- 120.110 Data Retrieval in Earth Observation (VU 2,0) 2024S
- 120.112 Einführung in das Programmieren II für Geodäsie und Geoinformation (VU 2,0) 2024S
- 120.113 Python-Programmierung für Geowissenschaften (VU 2,0) 2024S
- 136.094 Physics of 2D Materials (VO 2,0) 2024S
- 138.128 Machine Learning in Physics (VU 3,0) 2024S
- 164.373 Progammieren für Chemiker:Innen (VU 2,0) 2024S
- 186.143 Informationsvisualisierung (UE 1,0) 2024S
- 192.039 Deep Learning for Natural Language Processing
- 194.035 Recommender Systems (VU 2,0) 2024S
- 194.164 Advanced Topics in Recommender Systems and Generative AI
- 222.587 Statistik für Umweltingenieurwesen (VU 1,5) 2024S
- 317.046 Numerische Methoden der Ingenieurwissenschaften 1 (VO 2,0) 2024S
- 322.087 Numerische Methoden der Strömungs- und Wärmetechnik (VU 4,0) 2024S
- 322.089 Numerische Methoden der Ingenieurwissenschaften 2
- 325.100 Modalanalyse (VU 2,0) 2024S
- 330.282 Industrial Data Science
- 731139 An introduction to scientific programming
- 814328 Meteorological hazards and climate extremes
- 814338 Climate lab in Engl.