Science IT Support

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).

All listed courses are currently planned as in-person classes. Should it be required, they will be organized online via teleconferencing instead.

We provide 2 ECTS certificates to attendees of R Bootcamp 1-3, Data Science Fundamentals 1-3 (DSF) and DSF 4-5 and Data Science Ethics 1-4 (DSE) who successfully present a project (nominal work load is 30 hours). CCF = Cloud Computing Fundemntals. Days with own Ilias links can be attended indiviually.

Outlook for offers in August and September (registration not yet open), MM = Mathematical Methods, DS = Data Science, ML = Machine Learning:

  • 2020-08-17 (09:00-17:00) DSF 1 Introduction to Python Programming
  • 2020-08-18 - 2020-08-21 MM for DS and ML (09:00-12:30)
  • 2020-08-19 - 2020-08-21 CAS ADS Module 1 (09:00-12:30)
  • 2020-08-25 - 2020-08-28 CAS ADS Module 2 (09:00-12:30) 
  • 2020-08-25 - 2020-08-28 CAS AML Module 1 (09:00-12:30) 
  • 2020-09-01 - 2020-09-04 CAS AML Module 2 (09:00-12:30) 
  • 2020-09-07 (09:00-17:00) DSF 1 Introduction to Programming
  • 2020-09-08 (09:00-17:00) DSF 2 Object Oriented Programming
  • 2020-09-09 (09:00-17:00) DSF 3 NumPy and DASK
  • 2020-09-10 (09:00-17:00) DSF 4 Statistics with Python
  • 2020-09-11 (09:00-17:00) DSF 5 Machine Learning with Python
  • 2020-09-07 (09:00-17:00) HPC 1 Linux for users
  • 2020-09-08 (09:00-17:00) HPC 2 Linux for owners
  • 2020-09-09 (09:00-12:30) HPC 3 Introduction to HPC
  • 2020-09-09 (13:30-17:00) HPC 4 Advanced HPC Topics
  • 2020-09-10 (09:00-17:00) HPC 5 Parallel Programming Paradigms
  • 2020-09-11 (09:00-17:00) HPC 6 GPU Programming - CUDA
  • 2020-09-26 ~ 2020-10-02 CAS AML Module 3 (Mallorca)

With contributions from:

  • University of Bern: Mathematical Institute, Informatikdienste, Institute of Philosophy
  • External: Swiss Data Science Center, ETHZ, SWITCH, MathWorks, Dataiku, Amanox Solutions, Google 

Registration

It happens via the eLearning platform ILIAS (direct links above), which requires login with your campus or AAI account to register. People without these accounts need to write us an email. Registered participants will receive further information by email.

About trainings

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.