The following courses are part of study year one.

The course application codes and study periods are valid for the academic year 2021/2022. 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 50184 7.5 hp 7.5
EL2820 Modelling of Dynamical Systems 50194 7.5 hp 7.5
EL2220 The Sustainable Systems and Control Engineer 50192 3.0 hp 0.4 0.4 0.3 0.4
EL2520 Control Theory and Practice, Advanced Course 61058 7.5 hp 7.5

Recommended courses

Course code and name Appl.code Scope P1 P2 P3 P4
EH2720 Management of Projects Non-technical 50190 7.5 hp 7.5
EK2370 Build your own Radar System, Project Course 50148 7.5 hp 7.5
EL2700 Model Predictive Control 50449 7.5 hp 7.5
EQ1220 Signal Theory 50195 7.5 hp 7.5
IL2206 Embedded Systems 51292 7.5 hp 7.5
LS2429 Technical Communication in English Non-technical 50952 7.5 hp 7.5
ME1003 Industrial Management, Basic Course Non-technical 50202 6.0 hp 6.0
MF2030 Mechatronics basic Course 51031 6.0 hp 6.0
MF2043 Robust Mechatronics 51033 6.0 hp 6.0
SF2940 Probability Theory 50206 7.5 hp 7.5
DD2412 Deep Learning, Advanced Course 50185 6.0 hp 3.0 3.0
DD2430 Project Course in Data Science Project Course 50186 7.5 hp 3.5 4.0
LS1464 Rhetoric - the Art of Persuasion Non-technical 52066 7.5 hp 4.0 3.5
DT2140 Multimodal Interaction and Interfaces 52124 7.5 hp 7.5
DT2151 Project in Conversational Systems Project Course 50188 7.5 hp 7.5
EH2030 Business Development and Quality Management Non-technical 50189 7.5 hp 7.5
EL1010 Automatic Control, General Course 50712 6.0 hp 6.0
EL2425 Automatic Control, Project Course, Smaller Course Project Course 50177 7.5 hp 7.5
EL2620 Nonlinear Control 51613 7.5 hp 7.5
EL2805 Reinforcement Learning Replaces EL2800 52130 7.5 hp 7.5
LS1419 English for Employment Non-technical 50946 7.5 hp 7.5
LS2439 English for Writing and Presenting a Degree Project in Science and Engineering Non-technical 50200 7.5 hp 7.5
MF2007 Dynamics and Motion Control 51024 9.0 hp 9.0
SF1811 Optimization 50106 6.0 hp 6.0
SF2832 Mathematical Systems Theory 50171 7.5 hp 7.5
EQ2310 Digital Communications 50305 9.0 hp 8.5 0.5
DD2420 Probabilistic Graphical Models 60143 7.5 hp 7.5
EG2210 Electricity Market Analysis 60181 7.5 hp 7.5
EL2450 Hybrid and Embedded Control Systems 61051 7.5 hp 7.5
EP2520 Building Networked Systems Security Project Course 61077 7.5 hp 7.5
EQ2321 Speech and Audio Processing 60142 7.5 hp 7.5
II2302 Sensor Based Systems 61020 7.5 hp 7.5
IL2212 Embedded Software 61034 7.5 hp 7.5
SF2812 Applied Linear Optimization 60154 7.5 hp 7.5
SF2842 Geometric Control Theory 60131 7.5 hp 7.5
DD2419 Project Course in Robotics and Autonomous Systems Project Course 60135 9.0 hp 4.5 4.5
DD2438 Artificial Intelligence and Multi Agent Systems Project Course 60144 15.0 hp 7.0 8.0
DH1620 Human-Computer Interaction, Introductory Course Non-technical/merged with DH2620 60097 6.0 hp 3.0 3.0
SF1691 Complex Analysis Replaces SF1628 60060 7.5 hp 3.7 3.8
SF2568 Parallel Computations for Large- Scale Problems 60153 7.5 hp 3.0 4.5
DD2424 Deep Learning in Data Science 60130 7.5 hp 7.5
EH2745 Computer Applications in Power Systems 60177 4.5 hp 4.5
SD2231 Applied Vehicle Dynamics Control Project Course 60337 7.5 hp 7.5
SF1861 Optimization 60061 6.0 hp 6.0
SF2943 Time Series Analysis 60155 7.5 hp 7.5

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 61051 7.5 hp 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 50841 6.0 hp 6.0
DD2434 Machine Learning, Advanced Course 50172 7.5 hp 7.5
EL2425 Automatic Control, Project Course, Smaller Course 50177 7.5 hp 7.5
EL2620 Nonlinear Control 51613 7.5 hp 7.5
EL2805 Reinforcement Learning 52130 7.5 hp 7.5
EQ2300 Digital Signal Processing 50174 7.5 hp 7.5
SF2832 Mathematical Systems Theory 50171 7.5 hp 7.5
DD2421 Machine Learning 60128 7.5 hp 7.5
EL2810 Machine Learning Theory 60353 7.5 hp 7.5
EQ2401 Adaptive Signal Processing 60127 7.5 hp 7.5
SF2842 Geometric Control Theory 60131 7.5 hp 7.5
SF1691 Complex Analysis 60060 7.5 hp 3.7 3.8
DD2424 Deep Learning in Data Science 60130 7.5 hp 7.5
SF2822 Applied Nonlinear Optimization 60133 7.5 hp 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 50181 7.5 hp 7.5
EL2320 Applied Estimation 50179 7.5 hp 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 50841 6.0 hp 6.0
EL2700 Model Predictive Control 50449 7.5 hp 7.5
DD2434 Machine Learning, Advanced Course 50172 7.5 hp 7.5
EL2425 Automatic Control, Project Course, Smaller Course 50177 7.5 hp 7.5
EL2620 Nonlinear Control 51613 7.5 hp 7.5
EL2805 Reinforcement Learning 52130 7.5 hp 7.5
EQ2300 Digital Signal Processing 50174 7.5 hp 7.5
MF2007 Dynamics and Motion Control 51024 9.0 hp 9.0
DD2411 Research project in Robotics, Perception and Learning 60136 15.0 hp 4.0 3.5
DD2421 Machine Learning 60128 7.5 hp 7.5
DD2437 Artificial Neural Networks and Deep Architectures 60140 7.5 hp 7.5
EL2450 Hybrid and Embedded Control Systems 61051 7.5 hp 7.5
EL2810 Machine Learning Theory 60353 7.5 hp 7.5
EQ2321 Speech and Audio Processing 60142 7.5 hp 7.5
DD2419 Project Course in Robotics and Autonomous Systems 60135 9.0 hp 4.5 4.5
DD2424 Deep Learning in Data Science 60130 7.5 hp 7.5
DT2119 Speech and Speaker Recognition 60141 7.5 hp 7.5