Education
Extension Programme Scientific Computing
The extension programme Scientific Computing is combined with bachelor's and master's or diploma degree programmes in other subject areas or attended after graduation in those. Students gain scientific qualifications in the fundamentals of scientific computing.
We ask interested parties and participants in the extension program to subscribe to the mailing list epsc-students@lists.uibk.ac.at. There we provide information about courses, workshops and other training opportunities. Simply send an e-mail with the subject “subscribe epsc-students@lists.uibk.ac.at” to sympa@lists.uibk.ac.at (or use the prepared link).
Winter semester courses for 2025/26
- 198701 VO2 (2 ECTS) Introduction to Scientific Computing and Gender Competence
- 198702 VU2 (3 ECTS) Software Management for Scientific Computing
- 198703 VU3 (5 ECTS) Basics of Scientific Computing
- 198705 VU3 (5 ECTS) C and C++ in Simulation Development
- 198706 VU3 (5 ECTS) Numerics of Partial Differential Equations
- 198707 VU3 (5 ECTS) Numerics of Selected Problems
Summer semester courses for 2026
- 198704 VU3 (5 ECTS) Modelling as Basis for Simulation
- 198708 VU3 (5 ECTS) Numerics for HPC
- 198709 VU3 (5 ECTS) HPC-Implementation A: Parallelisation
- 198710 VU3 (5 ECTS) HPC-Implementation B: Accelerators
- 198711 PJ3 (5 ECTS) Applied HPC
- 198712 VU3 (5 ECTS) Management and Visualisation of Simulation Data
- 198713 VO2 (2 ECTS) Case Studies of HPC
A Primer in Applied Quantum Computing
With basic knowledge of linear algebra and a programming language, anyone can learn to program a quantum computer, and this lecture demonstrates how. A novel feature is that it is accessible to students of all levels.
Winter semester courses for 2025/26
- 800680 VU3 (5 ECTS) A Primer in Applied Quantum Computing ... for bachelor's students
- 800780 VU3 (5 ECTS) A Primer in Applied Quantum Computing ... for masters's students
- 800941 VU3 (5 ECTS) A Primer in Applied Quantum Computing ... for PhD students
DK Computational Interdisciplinary Modelling
Founded in 2010, the doctoral programme Computational Interdisciplinary Modelling (DK CIM) offers excellent doctoral students a solid, research-oriented and interdisciplinary program in computational modeling and high-performance computing in the fields of mathematics, physics, chemistry, atmospheric sciences, materials science and engineering.
Winter semester courses for 2025/26
Training
Training on various aspects of programming for scientific computing purposes is typically provided in close collaboration with the ASC Training and Education program. In addition, independent courses are offered on various occasions:
Scientific Coding with Julia (2022)
This workshop was originally designed for the DK CIM/DP DOCC Summer School 2022 as part of the doctoral college Computational Interdisciplinary Modelling (DK CIM) and intended to last about 12 hours - it was prepared and held by: Gregor Ehrensperger, Peter Kandolf and Jonas Kusch.
Please find all course material at https://discdown.org/fabulousjulia/
OpenMP Workshop (2024)
This workshop was presented at the DK CIM Summer School 2024 as part of the doctoral college Computational Interdisciplinary Modelling (DK CIM) and intended for two days - it was prepared by Lukas Einkemmer and held together with Philipp Gschwandtner.
Please find all course material at http://www.einkemmer.net/training.html