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Till KTH:s startsida

Study year 2

The following courses are part of study year two.

The course application codes and study periods are valid for the academic year 2023/2024. For other academic years, different application codes and study periods may apply

General Courses

General Courses

Mandatory courses

Course code Course name Scope Educational level
AK2030 Theory and Methodology of Science (Natural and Technological Science) 4.5 hp Second cycle
DA236X Degree Project in Computer Science and Engineering, specializing in Systems, Control and Robotics, Second Cycle
Choose DA236X or EA236X
30 hp Second cycle
EA236X Degree Project in Electrical Engineering, specializing in Systems, Control and Robotics, Second Cycle
Choose DA236X or EA236X
30 hp Second cycle
EL2220 The Sustainable Systems and Control Engineer 3 hp Second cycle

Recommended courses

Course code Course name Scope Educational level
DD1385 Software Engineering 6 hp First cycle
DD1388 Program System Construction Using C++
Replaces DD1387
7.5 hp First cycle
DD2352 Algorithms and Complexity 7.5 hp Second cycle
DD2401 Neuroscience 7.5 hp Second cycle
DD2419 Project Course in Robotics and Autonomous Systems
Project Course
9 hp Second cycle
DD2420 Probabilistic Graphical Models 7.5 hp Second cycle
DD2435 Mathematical Modelling of Biological Systems 9 hp Second cycle
DD2438 Artificial Intelligence and Multi Agent Systems
Project Course
15 hp Second cycle
DD2447 Statistical Methods in Applied Computer Science 6 hp Second cycle
DD2459 Software Reliability 7.5 hp Second cycle
DD2464 Bigger Advanced, Individual Course in Computer Science 9 hp Second cycle
DT2140 Multimodal Interaction and Interfaces 7.5 hp Second cycle
EG2210 Electricity Market Analysis 7.5 hp Second cycle
EH2030 Business Development and Quality Management
Non-technical
7.5 hp Second cycle
EH2720 Management of Projects
Non-technical
7.5 hp Second cycle
EK2370 Build your own Radar System, Project Course 7.5 hp Second cycle
EL2425 Automatic Control, Project Course, Smaller Course
Project Course
7.5 hp Second cycle
EL2450 Hybrid and Embedded Control Systems 7.5 hp Second cycle
EL2620 Nonlinear Control 7.5 hp Second cycle
EL2700 Model Predictive Control 7.5 hp Second cycle
EL2805 Reinforcement Learning 7.5 hp Second cycle
EP2520 Building Networked Systems Security
Project Course
7.5 hp Second cycle
EQ2310 Digital Communications 9 hp Second cycle
EQ2321 Speech and Audio Processing 7.5 hp Second cycle
EQ2401 Adaptive Signal Processing 7.5 hp Second cycle
II2302 Sensor Based Systems 7.5 hp Second cycle
IL2206 Embedded Systems 7.5 hp Second cycle
IL2212 Embedded Software 7.5 hp Second cycle
LS1419 English for Employment
Non-technical
7.5 hp First cycle
LS1464 Rhetoric - the Art of Persuasion
Non-technical
7.5 hp First cycle
LS2426 German B2 for Engineers
Non-technical
7.5 hp Second cycle
LS2429 Technical Communication in English
Non-technical
7.5 hp Second cycle
LS2436 French B2 for Engineers
Non-technical
7.5 hp Second cycle
LS2439 English for Writing and Presenting a Degree Project in Science and Engineering
Non-technical
7.5 hp Second cycle
LS2449 Spanish B2 for Engineers
Non-technical
7.5 hp Second cycle
ME1003 Industrial Management, Basic Course
Non-technical
6 hp First cycle
MF2007 Dynamics and Motion Control 9 hp Second cycle
MF2030 Mechatronics basic Course 6 hp Second cycle
MF2043 Robust Mechatronics 6 hp Second cycle
SD2231 Applied Vehicle Dynamics Control
Project Course
7.5 hp Second cycle
SF1691 Complex Analysis
Replaces SF1628
7.5 hp First cycle
SF1811 Optimization 6 hp First cycle
SF1861 Optimization 6 hp First cycle
SF2568 Parallel Computations for Large- Scale Problems 7.5 hp Second cycle
SF2812 Applied Linear Optimization 7.5 hp Second cycle
SF2832 Mathematical Systems Theory 7.5 hp Second cycle
SF2842 Geometric Control Theory 7.5 hp Second cycle
SF2852 Optimal Control Theory 7.5 hp Second cycle
SF2940 Probability Theory 7.5 hp Second cycle
SF2943 Time Series Analysis 7.5 hp Second cycle

Supplementary information

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.

Specialisations: Track, Learning, Decision and Control Systems (LDCS)

Mandatory courses

Course code Course name Scope Educational level
EL2700 Model Predictive Control 7.5 hp Second cycle

Conditionally elective courses

Course code Course name Scope Educational level
DD2380 Artificial Intelligence 6 hp Second cycle
DD2421 Machine Learning 7.5 hp Second cycle
DD2424 Deep Learning in Data Science 7.5 hp Second cycle
DD2434 Machine Learning, Advanced Course 7.5 hp Second cycle
DD2437 Artificial Neural Networks and Deep Architectures 7.5 hp Second cycle
EL2425 Automatic Control, Project Course, Smaller Course 7.5 hp Second cycle
EL2620 Nonlinear Control 7.5 hp Second cycle
EL2805 Reinforcement Learning 7.5 hp Second cycle
EQ2300 Digital Signal Processing 7.5 hp Second cycle
EQ2401 Adaptive Signal Processing 7.5 hp Second cycle
SF1691 Complex Analysis 7.5 hp First cycle
SF2822 Applied Nonlinear Optimization 7.5 hp Second cycle
SF2832 Mathematical Systems Theory 7.5 hp Second cycle
SF2842 Geometric Control Theory 7.5 hp Second cycle
SF2852 Optimal Control Theory 7.5 hp Second cycle

Supplementary information

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.

Information regarding conditionally elective courses

Choose at least 21 credits from the list of conditionally elective courses.

Specialisations: Track, Robotics and Autonomous Systems (RASM)

Conditionally elective courses

Course code Course name Scope Educational level
DD2380 Artificial Intelligence 6 hp Second cycle
DD2411 Research project in Robotics, Perception and Learning 15 hp Second cycle
DD2413 Social Robotics 7.5 hp Second cycle
DD2419 Project Course in Robotics and Autonomous Systems 9 hp Second cycle
DD2421 Machine Learning 7.5 hp Second cycle
DD2434 Machine Learning, Advanced Course 7.5 hp Second cycle
DD2437 Artificial Neural Networks and Deep Architectures 7.5 hp Second cycle
EL2425 Automatic Control, Project Course, Smaller Course 7.5 hp Second cycle
EL2450 Hybrid and Embedded Control Systems 7.5 hp Second cycle
EL2620 Nonlinear Control 7.5 hp Second cycle
EL2700 Model Predictive Control 7.5 hp Second cycle
EL2805 Reinforcement Learning 7.5 hp Second cycle
EQ2300 Digital Signal Processing 7.5 hp Second cycle
EQ2321 Speech and Audio Processing 7.5 hp Second cycle
MF2007 Dynamics and Motion Control 9 hp Second cycle

Supplementary information

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.

Information regarding conditionally elective courses

Choose at least 21 credits from the list of conditionally elective courses.