Year 1
Programme overview for year 2025/2026
The programme overview is adopted 2025-02-13 by Dean of Education.
AUTUMN TERM
Study period 1
Compulsory courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)ESS101 Modelling and simulation Examination 4.5 credits ESS101 Modelling and simulation Laboratory 3 credits S SSY165 Logic, learning, and decision Examination 5 credits SSY165 Logic, learning, and decision Laboratory 2.5 credits S Elective courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)EEN025 Constraint programming and applied optimization Examination 5 credits 1) EEN025 Constraint programming and applied optimization Laboratory 2.5 credits S, 1) EEN050 Robust and nonlinear control Examination 4 credits 1) EEN050 Robust and nonlinear control Design exercise + laboratory 3.5 credits S, 1) FFR161 Sustainable development Project (part A) 1.5 credits FFR161 Sustainable development Examination (part B) 6 credits S SSY340 Deep machine learning Project 3 credits 1) SSY340 Deep machine learning Written and oral assignments 4.5 credits S, 1) TMA947 Nonlinear optimisation Laboratory 1.5 credits 1) TMA947 Nonlinear optimisation Examination 6 credits S, 1) Voluntary courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)TME265 Preparatory course in Matlab Project 3 credits E
Study period 2
Compulsory courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)SSY285 Linear control system design Design exercise + laboratory 3 credits SSY285 Linear control system design Examination 4.5 credits S Elective courses
SPRING TERM
Study period 3
Elective courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)EEN250 Communication systems Project 2.5 credits EEN250 Communication systems Examination 5 credits S ENM076 Electric drive systems Examination 4.5 credits ENM076 Electric drive systems Laboratory 3 credits S SSY156 Modelling and control of mechatronic systems Design exercise + laboratory 7.5 credits S, 1) SSY282 Model predictive control Examination 7.5 credits E, 1) TDA206 Discrete optimization Examination 7.5 credits E, 1) TDA233 Algorithms for machine learning and inference Written and oral assignments 3 credits TDA233 Algorithms for machine learning and inference Examination 4.5 credits S TIN093 Algorithms Examination 7.5 credits E TME286 Interpretable artificial intelligence Project 7.5 credits E
Study period 4
Compulsory courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)SSY191 Model-based development of cyber-physical systems Project 4 credits SSY191 Model-based development of cyber-physical systems Written and oral assignments 2 credits SSY191 Model-based development of cyber-physical systems Project 1.5 credits S Elective courses
Other
Regardless of period
Voluntary courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)SSY240 Individual course within systems, control and mechatronics 1 Project 4.5 credits E SSY245 Individual course within systems, control and mechatronics 2 Project 7.5 credits E
- 1 Compulsory elective: - (EEN020, EEN025, EEN050, MPR271, MVE166, SSY130, SSY156, SSY230, SSY282, SSY340, SSY345, TDA206, TMA947) 22.5 credits of stated courses are required for the degree
- DIG: Digital examination is an examination written in the Inspera system. The student will bring their own computer and access the exam via Safe exam browser.
- S: Final grade. All module grades are reported before the final grade for the course can be reported.
- E: The only module in the course. Module grade and grade for the course are reported at the same time.