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 21
* Study programme for batch Autumn 20
* Study programme for batch Autumn 19
* 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
An example of course choices for both tracks can be found here: Tracks_leaflet.pdf

The slides that were shown during the welcome meeting are here: WelcomeMeetingSlides2021

And the slides regarding Program Student Representative (MAS masteransvarig student) are here: MAS_slides

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 does not qualify as it does not involve project management experience, see below.

A project course needs to satisfy the following criteria

* The work is done in groups of more than 1, and includes some experience of project management
* 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++
* DD2412 Deep Learning Advanced
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 ¶