The first year of the programme consists of courses on a number of advanced techniques for intelligent systems, such as machine learning, robot sensing and control, and automatic decision-making, planning and scheduling. Students aiming for a one-year Master's programme conclude the year with a 15-ECTS MSc thesis project.
The courses are divided into four periods of 10 weeks each, and in each period two courses are given in parallel.
The optional second year has a higher focus on project work. The third semester is to a large part dedicated to Integrated Project Work, where you will work together with your course mates, deepening your understanding of the topics studied earlier by implementing a group project. The semester also contains a unique course on Mobile Robot Olfaction, which covers sensing and modelling of concepts as dynamic as turbulent gas flows. Finally, in the fourth semester you will complete a 30-ECTS MSc thesis, typically embedded in one of our ongoing international research projects or in cooperation with industrial partners.
|Year 1||Parallel courses|
|Period 1 (Sep-Oct)||Intro to Robotics & Intelligent Systems||Sensors and Sensing|
|Period 2 (Nov-Jan)||Advanced AI||Robot Modelling and Control|
|Period 3 (Jan-Mar)||Machine Learning||Probabilistic Robotics|
|Period 4 (Apr-Jun)||Multi-Agent Systems||Planning and Scheduling||option: 60-ECTS MSc Thesis|
|Period 1 (Sep-Oct)||Integrated Project Work||Mobile Robot Olfaction|
|Period 2 (Nov-Jan)|
|Period 3 (Jan-Mar)||120-ECTS MSc Thesis|
|Period 4 (Apr-Jun)|
The course plans are available below: