The following courses are part of study year one.
The course application codes and study periods are valid for the academic year 2024/2025. For other academic years, different application codes and study periods may apply
General Courses
The following course requirements need to be satisfied to get a degree:
- all common mandatory courses of 30 credits
- all mandatory courses of 15 credits depending on track
- at least 21 credits of the conditionally elective courses depending on the track
- at least one project course completed
- degree project equivalent to 30 credits completed
- freely elective courses up to 120 credits
Compulsory and conditionally elective courses from one track are recommended on all other tracks.
A course can only be listed once below and is listed only as compulsory if it is compulsory on one track and only conditionally elective on another. Please use the course list for each separate track for a complete account of the conditionally elective courses.
Mandatory courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2410 Introduction to Robotics | 7.5 credits | 7.5 | ||||
| EL2820 Modelling of Dynamical Systems | 7.5 credits | 7.5 | ||||
| EL2220 The Sustainable Systems and Control Engineer | 3.0 credits | 0.4 | 0.4 | 0.3 | 0.4 | |
| EL2520 Control Theory and Practice, Advanced Course | 60453 | 7.5 credits | 7.5 |
Recommended courses
Specialisations
Track, Learning, Decision and Control Systems (LDCS)
Courses (LDCS)
Compulsory and conditionally elective courses from one track are recommended on all other tracks.
A course can only be listed once below and is listed only as compulsory if it is compulsory on one track and only conditionally elective on another. Please use the course list for each separete track for a complete account of the conditionally elective courses.
Mandatory courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| EL2450 Hybrid and Embedded Control Systems | 60458 | 7.5 credits | 7.5 |
Choose at least 21 credits from the list of conditionally elective courses.
Conditionally elective courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2380 Artificial Intelligence | 6.0 credits | 6.0 | ||||
| DD2415 Safe Robot Planning and Control | 6.0 credits | 6.0 | ||||
| DD2434 Machine Learning, Advanced Course | 7.5 credits | 7.5 | ||||
| EL2425 Automatic Control, Project Course, Smaller Course | 7.5 credits | 7.5 | ||||
| EL2620 Nonlinear Control | 7.5 credits | 7.5 | ||||
| EL2805 Reinforcement Learning | 7.5 credits | 7.5 | ||||
| EQ2300 Digital Signal Processing | 7.5 credits | 7.5 | ||||
| SF2832 Mathematical Systems Theory | 7.5 credits | 7.5 | ||||
| DD2421 Machine Learning | 61577 | 7.5 credits | 7.5 | |||
| DD2437 Artificial Neural Networks and Deep Architectures | 61667 | 7.5 credits | 7.5 | |||
| EL2810 Machine Learning Theory | 60482 | 7.5 credits | 7.5 | |||
| EQ2401 Adaptive Signal Processing | 60418 | 7.5 credits | 7.5 | |||
| SF2842 Geometric Control Theory | 60457 | 7.5 credits | 7.5 | |||
| SF1691 Complex Analysis | 60178 | 7.5 credits | 3.7 | 3.8 | ||
| DD2424 Deep Learning in Data Science | 60207 | 7.5 credits | 7.5 | |||
| SF2822 Applied Nonlinear Optimization | 60422 | 7.5 credits | 7.5 |
Track, Robotics and Autonomous Systems (RASM)
Courses (RASM)
Compulsory and conditionally elective courses from one track are recommended on all other tracks.
A course can only be listed once below and is listed only as compulsory if it is compulsory on one track and only conditionally elective on another. Please use the course list for each separete track for a complete account of the conditionally elective courses.
Mandatory courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2423 Image Analysis and Computer Vision | 7.5 credits | 7.5 | ||||
| EL2320 Applied Estimation | 7.5 credits | 7.5 |
Choose at least 21 credits from the list of conditionally elective courses.