This is a specific focus of the curriculum Computational Modeling and Digital Twins.
| Courses | ECTS | |
|---|---|---|
| I year (60 ECTS) | ||
| I semester | ||
| Probability and Statistics for Scientific Computing | 6 | |
| High Performance Computing (+) | 6 | |
| Cloud Computing (+) | 6 | |
| Introduction to Machine Learning (*) or Probabilistic Machine Learning | 6 | |
| Advanced Programming (*) or Software Development Methods | 6 | |
| Numerical Analysis (*) or Mathematical Optimization | 6 | |
| #colspan# | ||
| II semester | ||
| Deep Learning | 6 | |
| Advanced Numerical Analysis | 6 | |
| Computational Fluid Dynamics | 6 | |
| #colspan# | ||
| II year (60 ECTS) | ||
| Advanced Topics in Scientific Computing | 6 | |
| Physics and Modelling of Turbulence | 6 | |
| Computational Solid Mechanics | 6 | |
| Two elective courses | 12 | |
| Internship | 12 | |
| Thesis | 24 | |
(+): Integrated courses (modules combined in a single course)
(*) These courses contain introductory material and they cannot be inserted in the study plan if a course with a corresponding content has been attended during the bachelor or in other educational programs. Please ask the program coordinator if you are unsure.
You have to add in the study plan elective courses from the following group:
| Elective Courses | ECTS |
|---|---|
| Unsupervised Machine Learning | 6 |
| Data Management | 6 |
| Advanced Deep Learning and Kernel Methods | 6 |
| Advanced HPC | 6 |
| GPU and Parallel Programming | 6 |
| Environmental Fluid Mechanics | 6 |