Robotics and Drone Technology

Specialisering:

Robotics and Drone Technology

Specialisation Coordinator

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

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 & Entrepreneurship Autonomous Agents and Multi-agent Systems Explainable Statistical Learning SWROB-02 Autonomous Mobile Robots
2(F) Research Methodology Security & Privacy Deep Learning Advanced Control Systems Internet Of Things STTROB1-01 Robotprogrammering og Kinematik
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 Internet Of Things STTROB1-01 Robotprogrammering og Kinematik
2(S) Systems Engineering Innovation & Entrepreneurship Autonomous Agents and Multi-agent Systems Explainable Statistical Learning SWROB-02 Autonomous Mobile Robots
3(F) Elective Elective Elective Elective Elective Elective
4(S) Master Thesis

Specialisation Electives

The specialisation is comprised of 40 ECTS core courses.

Spring

Course Specialisation Type Course Title ECTS Semester Level
Core course Explainable statistical learning 5 Spring M
Core course SWROB2 Autonomous mobile robots 5 Spring B

Fall

Course Specialisation Type Course Title ECTS Semester Level
Core course Advanced control systems 5 Autumn B
Core course Deep Learning 10 Autumn M
Core course Autonomous agents and multi-agent systems 5 Autumn M
Core course Internet of Things 5 Autumn B
Core course STTROB1-01 Robotprogrammering og kinematik 5 Autumn B