Crash Course: Scientific Software
These courses are made available to you depending on faculty members' interest and availability. They are taught in English.
All hands-on sessions take place in the faculty's computer lab ("grosser PC-Raum", HG, WWZ).
Pre-requisites apply only if you are working on your own computer. Otherwise, all software is already installed on the computers of the university.
If you are interested in attending a course, please register by sending an e-mail of interest to the responsible tutor no later than Sunday, September 28th. Registration helps us determine the demand for each course.
- LaTeX
- contact: Jakob Roth
- hands-on: October 8th (Tuesday), 16:00 to 18:00, grosser PC-Raum
- software: set up a (free) Overleaf account
- MATLAB
- contact: Lars Fluri
- software: student licences available at https://asknet.unibas.ch
- no hands-on course will be provided, slides and implementation examples will be provided upon request
- Python
- contact: Léo Picard
- hands-on: October 4th (Friday) and 11th (Friday), 8:15 to 10:00, grosser PC-Raum
- software: Anaconda
- material: GitHub repository
- R
- contact: Dr. Patrick Schmidt
- no registration needed
- hands-on: September 30th (Monday) and October 7th (Monday), 14:00 to 16:00, grosser PC-Raum
- software: r-project.org and RStudio
- material: via OLAT
- Stata
- contact: Dr. Matthias Krapf
- hands-on: October 11th (Friday), 13:00 to 17:00, grosser PC-Raum
- software: https://www.stata.com
- course material from previous presentations here