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 Reinforcement Learning (II semester) | 6 | |
| Advanced Programming (*) or Software Development Methods | 6 | |
| Numerical Analysis (*) or Global and Multi-Objective Optimization | 6 | |
| #colspan# | ||
| II semester | ||
| Deep Learning | 6 | |
| Stochastic Modelling and Simulation | 6 | |
| Algorithms for Scientific Computing (*) or Advanced Algorithms for Scientific Computing | 6 | |
| Modelling and Control of Cyber-Physical Systems I | 6 | |
| #colspan# | ||
| II year (60 ECTS) | ||
| Simulation Intelligence and Learning in Autonomous Systems | 6 | |
| One Course from Table A | 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.
Table A
| Courses | ECTS |
|---|---|
| Mathematical Optimization | 6 |
| Probabilistic Machine Learning | 6 |
| Reinforcement Learning | 6 |
You have to add in the study plan elective courses either from Table A or from the following group:
| Courses | ECTS |
|---|---|
| Advanced Deep Learning and Kernel Methods | 6 |
| Advanced HPC | 6 |
| Computer Vision | 6 |
| Bayesian Statistics | 6 |
| Data Management | 6 |
| Information Retrieval and Data Visualisation | 6 |