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SCR: Curriculum
The Curriculum of the SCR programme is defined in the links below, where batch most often refers to the first registration term at the programme.
- Study programme for batch Autumn 18
- Study programme for batch Autumn 17
- Study programme for batch Autumn 16
- Study programme for batch Autumn 15
- Study programme for batch Autumn 14
- Study programme for batch Autumn 13
- Study programme for batch Autumn 12
- Study programme for batch Autumn 11
- Study programme for batch Autumn 10
- Study programme for batch Autumn 09
- Study programme for batch Autumn 08
A course list that is easier to read can be found in this document for 2016 (PDF). Note however that the PDF does not include information regarding the requirements on project courses and non-technical courses.
The slides that were shown during the welcome meeting are here: slides.pdf
Schedule
To check how the schedule would look like if you took a given set of courses, you can use TimeEdit.
Project Courses
Students starting in 2015 and later need to have taken at least one project course from the study area. The following courses are considered to be SCR project courses in this sense:
- EL2425 Automatic Control Project Course, Smaller Course
- EL2421 Automatic Control Project Course
- DD2419 Project Course in Robotics and Autonomous Systems
- DD2425 Robotics and Autonomous Systems (NO LONGER OFFERED)
- EP2520 Building Networked Systems Security
- SD2231 Applied Vehicle Dynamics Control
- DD2438 Artificial Intelligence and Multi Agent Systems
- DD2430 Project Course in Data Science
- DT2150 Project in Cognitive Systems
Note that DD2411 might qualify, but this depends on the individual assignments, which are different for all students. At the start of the course the examiner will let you know if your assignment involves enough group work.
A project course needs to satisfy the following criteria
- The work is done in groups of more than 1
- The examination of the course needs to be mainly in the form of one or more projects
- The course needs to be on master level (i.e. having a 2 as third character in course code)
Thus your master thesis is not a project course. If you wish to a course to the list above, please contact the program director.
Non-technical Courses
Students need to take one or two non-technical courses, with a total of at most 15 credits. A list of recommended non-technical courses can be found in the links above.
Recently Approved Recommended courses
These courses were recently approved as recommended, but have not yet been added to official lists above. If you think a course should be added below, email the Program Director and suggest it.
- MF2030 Mechatronics basic course
- MF2042 Embedded systems for mechatronics part I
- SF1861 Optimization
- DD1388 Program construction using C++
Examples of the four tracks
Note that the Conditionally elective and Recommended courses below can be replaced by others as long as you satisfy the track requirements.
Robotics and Autonomous Systems (Example)
| Course ID | Name | When | Credits | Type |
| EL2220 | The Sustainable Systems and Control Engineer | Y1-Y2 | 3 | Mandatory |
| EL2820 | Modelling of Dynamical Systems | Y1, P1 | 7,5 | Mandatory |
| DD2410 | Introduction to Robotics | Y1, P1 | 7,5 | Mandatory |
| DD2423 | Image Analysis and Computer Vision | Y1, P2 | 7,5 | Track Mandatory |
| EL2320 | Applied Estimation | Y1, P2 | 7,5 | Track Mandatory |
| DD2419 | Project Course in Robotics and Autonomous Systems | Y1, P3-P4 | 9 | Conditionally Elective (and Project Course) |
| EL2450 | Hybrid and Embedded Control Sys. | Y1, P3 | 7,5 | Recommended |
| DD2421 | Machine Learning | Y1, P3 | 7,5 | Conditionally Elective |
| EL2520 | Control Theory and Practice, adv. | Y1, P4 | 7,5 | Mandatory |
| Year 2 | ||||
| AK2036 | Theory and Methodology of Science | Y2,P1 | 7,5 | Mandatory |
| DD2380 | Artificial Intelligence | Y2, P1 | 6 | Conditionally Elective |
| XXYYYY | Non-Technical Course | Y2, P2 | 6-7.5 | Mandatory |
| DD2434 | Machine Learning, Adv. Course | Y2, P2 | 7,5 | Conditionally Elective |
| XXYYYY | Master Thesis | Y2, P3-P4 | 30 | Mandatory |
| Sum | 121,5 |
System and Control Theory (Example)
| Course ID | Name | When | Credits | Type |
| EL2220 | The Sustainable Systems and Control Engineer | Y1-Y2 | 3 | Mandatory |
| EL2820 | Modelling of Dynamical Systems | Y1, P1 | 7,5 | Mandatory |
| DD2410 | Introduction to Robotics | Y1, P1 | 7,5 | Mandatory |
| EL2620 | Nonlinear Control | Y1, P2 | 7,5 | Track Mandatory |
| SF2832 | Mathematical Systems Theory | Y1, P2 | 7,5 | Conditionally Elective |
| XXYYYY | Non-Technical Course | Y1, P3 | 6 | Mandatory |
| EL2450 | Hybrid and Embedded Control Sys. | Y1, P3 | 7,5 | Conditionally Elective |
| DD2424 | Deep Learning in Data Science | Y1, P4 | 7,5 | Recommended |
| EL2520 | Control Theory and Practice, adv. | Y1, P4 | 7,5 | Mandatory |
| Year 2 | ||||
| AK2036 | Theory and Methodology of Science | Y2,P1 | 7,5 | Mandatory |
| EL2700 | Model Predictive Control | Y2, P1 | 7,5 | Track Mandatory |
| EL2425 | Automatic Control, Project Course, Smaller Course | Y2, P2 | 7,5 | Conditionally Elective (and Project Course) |
| EL2805 | Reinforcement Learning | Y2, P2 | 7,5 | Recommended |
| XXYYYY | Master Thesis | Y2, P3-P4 | 30 | Mandatory |
| Sum | 121,5 |
Electrical Energy Systems (Example)
| Course ID | Name | When | Credits | Type |
| EL2220 | The Sustainable Systems and Control Engineer | Y1-Y2 | 3 | Mandatory |
| EL2820 | Modelling of Dynamical Systems | Y1, P1 | 7,5 | Mandatory |
| EJ2301 | Power Electronics | Y1,P1-P2 | 6 | Conditionally Elective |
| EG2100 | Power System Analysis | Y1, P1-P2 | 6 | Track Mandatory |
| EH2741 | Communication and Control in Electric Power Systems | Y1, P1-P2 | 6 | Conditionally Elective |
| EL2620 | Nonlinear Control | Y1, P2 | 7,5 | Conditionally Elective |
| EL2450 | Hybrid and Embedded Control Systems | Y1, P3 | 7,5 | Track Mandatory |
| EG2110 | Power System Stability and Control | Y1, P3 | 7,5 | Conditionally Elective |
| EH2745 | Computer Applications in Power Systems | Y1, P4 | 4,5 | Conditionally Elective |
| EL2520 | Control Theory and Practice, adv. | Y1, P4 | 7,5 | Mandatory |
| Year 2 | ||||
| AK2036 | Theory and Methodology of Science | Y2,P1 | 7,5 | Mandatory |
| DD2410 | Introduction to Robotics | Y2, P1 | 7,5 | Mandatory |
| EL2425 | Automatic Control Project Course, Smaller Course | Y2, P2 | 7,5 | Conditionally Elective (and Project Course) |
| XXYYYY | Non-Technical Course | Y2, P2 | 6 | Mandatory |
| XXYYYY | Master Thesis | Y2, P3-P4 | 30 | Mandatory |
| Sum | 121,5 |
Networked Control System (Example)
| Course ID | Name | When | Credits | Type |
| EL2220 | The Sustainable Systems and Control Engineer | Y1-Y2 | 3 | Mandatory |
| EL2820 | Modelling of Dynamical Systems | Y1, P1 | 7,5 | Mandatory |
| DD2410 | Introduction to Robotics | Y1, P1 | 7,5 | Mandatory |
| EL2320 | Applied Estimation | Y1, P2 | 7,5 | Recommended |
| SF1811 | Optimization | Y1, P2 | 6 | Recommended |
| EL2450 | Hybrid and Embedded control Systems | Y1, P3 | 7,5 | Track Mandatory |
| EP2200 | Queuing Theory and Teletraffic Systems | Y1, P3 | 7,5 | Conditionally Elective |
| DD2424 | Deep Learning in Data Science | Y1, P4 | 7,5 | Recommended |
| EL2520 | Control Theory and Practice, adv. | Y1, P4 | 7,5 | Mandatory |
| Year 2 | ||||
| AK2036 | Theory and Methodology of Science | Y2,P1 | 7,5 | Mandatory |
| EP2700 | Principles of Wireless Sensor Networks | Y2, P1 | 7,5 | Track Mandatory |
| XXYYYY | Non-Technical Course | Y2, P2 | 7,5 | Mandatory |
| EL2425 | Automatic Control Project Course, Smaller Course | Y2, P2 | 7,5 | Conditionally Elective (and Project Course) |
| XXYYYY | Master Thesis | Y2, P3-P4 | 30 | Mandatory |
| Sum | 120 |