Julia for Data Science and Scientific Computing

Ein Student sitzt am Schreibtisch und arbeitet mit einem Notebook.

Julia is a beautiful and relatively new open-source programming language that attempts to solve the two-language problem by combining the simplicity and expressiveness of high-level languages like Python or R with the speed of low-level languages like C or Fortran. This is particularly useful in the fields of data science and scientific computing.

The course provides an introduction to the core principles of using Julia for data science and scientific computing. Previous knowledge in another programming language such as R or Python is not a prerequisite for participation, but highly recommended.

Enrollment in HIS/LSF is mandatory (ID 10211291). Course slides will be in English. Lectures will be given in either English or German, depending on the wishes of the groups.

Instructor: Dr. Philipp Adämmer
When: 30.09. – 02.10.2024
Time: 09:00 – 16:00 h
Where: URZ, Felix-Hausdorff-Straße 18, Multi-Media-Hörsaal
Participants: max. 15

Moodle 
HIS / LSF 

Further information
Graduiertenakademie der Universität Greifswald
Domstraße 11, Eingang 4, Raum 3.24, 17489 Greifswald
Telefon +49 3834 420 1618
graduiertenakademieuni-greifswaldde

 

Organisator

  • Graduiertenakademie der Universität Greifswald

Veranstaltungsort

  • Universitätsrechenzentrum