Training and Workshops (running)
Digital Skills Training - Upcoming
Improve your digital skills with tailored training in science IT, big data management, data analytics and data science. Training directory in ILIAS with direct links for registration and information: Science IT Support. You may also consult the Transferable Skills training programme (only for PhD students and Post Docs from the University of Bern).
- 2019-12-03 (13:00-16:30) openBIS training for users
- 2020-01-13 (09:00-17:00) Python for Non-Programmers (FULL)
- 2020-01-14 - 2020-01-15 Statistical Data Analysis 1* (1 ECTS with project)
- 2020-01-16 - 2020-01-17 Statistical Data Analysis 2* (1 ECTS with project)
- 2020-01-20 (09:00-17:00) Linux for Users
- 2020-01-21 (09:00-17:00) Image Processing with Python
- 2020-01-22 (09:00-17:00) Introduction to GPU Programming and CUDA
- 2020-01-23 (09:00-17:00) TBC
- 2020-01-24 (09:00-17:00) Cloud Day (TBC)
- 2020-01-27 - 2020-01-31 Bern Winter School on Machine Learning (FULL)
- 2020-02-06/07 (13:30-17:00) R Workshop for L’Institut de français (restricted)
- 2020-02-10 (09:00-12:30) High Performance Computing (HPC) and UBELIX
- 2020-02-11 (09:00-12:30) Introduction to MATLAB
- 2020-02-11 (13:30-17:00) Scalable analytics with Python (DASK)
- 2020-02-12 (09:00-12:30) Deep Learning - a practical Approach with MATLAB
- 2020-02-13 (09:00-12:30) Advanced HPC Topics
- 2020-02-14 (09:00-18:30) Machine Learning with Dataiku (with Dataiku certification)
- 2020-02-17 (13:00-16:30) openBIS training for users
- 2020-02-24 (09:00-17:00) Python for Non-Programmers
- 2020-03-02 - 2020-03-06 Bern Winter School on Machine Learning
Courses in January and February 2020 will take place at Uni Mittelstrasse, Mittelstrasse 43, room 120. Further already planned courses for which registration is not yet opened:
- 2020-04-24 (09:00-10:30) What is new in MATLAB ? (lecture, TBC)
- 2020-06-01 - 2020-06-03 R Bootcamp (3 full days and project work, 2 ECTS)
* Registration open just for GCB students until the 15th of December 2019. After that it will be open for the public.
With contributions from:
- University of Bern: Mathematical Institute, Informatikdienste, Philosophy
- External: Swiss Data Science Center, SWITCH, MathWorks, Dataiku, Amanox Solutions, Google
Training sessions are in the format from half day crash courses to weekly block courses and teach practical skills to boost the research or work of the participants.
Both internal and external experts are used as lecturers. All sessions require own laptops and in some cases your own research code and tools. If nothing else is indicated, courses are for free.
Courses are normally given for at least 10 and at the most of 24 participants on a first come first served principle. We repeat popular trainings on demand and maintain waiting lists.
We can also help organising or developing discipline specific trainings for your group or project.