Specialisering:
Robotics and Drone Technology
Driven by electrification and digitalisation, the green transition has huge priority in society. The specialisation in Renewable Energy Systems will teach you to integrate electrical systems that can promote a sustainable transition of our energy supply.
You will work with technologies within the production, distribution and storage of electrical energy, as well as the development of smart grids and optimisation of energy consumption. This specialisation combines basic engineering disciplines such as electrical circuits, regulation, simulation and energy conversion with the latest digitalisation opportunities.
You will learn to integrate renewable energy sources such as solar and wind power into existing energy systems, and you will use digital twins and other technologies to simulate and optimise the performance of energy systems. You will also gain a solid understanding of energy markets, storage technologies and the regulatory frameworks that shape the energy solutions of the future and support the development of sustainable energy systems.
Structure
Structure
The following provides an example of a specialisation within Robotics and Drone Technology: 20 ECTS mandatory courses; 40 ECTS specialisation, 30 ECTS elective courses & 30 ECTS MSc. thesis.
Schedule for Winter Start
| 1(S) | Systems Engineering | Innovation and Entrepreneurship in Engineering | Internet Of Things Technology | Explainable Statistical Learning | SWROB2-01 Autonomous Mobile Robots | |
|---|---|---|---|---|---|---|
| 2(F) | Research Methodology | Security & Privacy | Deep Learning | Advanced Control Systems | STTROB1-01 Programming Robots and Kinematics | |
| 3(S) | Elective | Elective | Elective | Elective | Elective | Elective |
| 4(F) | Master Thesis | |||||
Schedule for Summer Start
| 1(F) | Research Methodology | Security & Privacy | Deep Learning | Advanced Control Systems | STTROB1-01 Programming Robots and Kinematics | |
|---|---|---|---|---|---|---|
| 2(S) | Systems Engineering | Innovation and Entrepreneurship in Engineering | Internet Of Things Technology | Explainable Statistical Learning | SWROB2-01 Autonomous Mobile Robots | |
| 3(F) | Elective | Elective | Elective | Elective | Elective | Elective |
| 4(S) | Master Thesis | |||||
Specialisation Electives
Specialisation Electives
The specialisation is comprised of 40 ECTS core courses. Of these a minimum of 15 ECTS must be at level II.
Fall
| Course Specialisation Type | Course Title | ECTS | Semester | Level |
| Specialisation Elective | Advanced Control Systems | 5 | Autumn | I |
| Specialisation Elective | Deep Learning | 10 | Autumn | II |
| Specialisation Elective | Autonomous Agents and Multi-Agent Systems | 5 | Autumn | II |
| Specialisation Elective | STTROB1-01 Programming Robots and Kinematics | 5 | Autumn | I |
