Year 1
Programme overview for year 2025/2026
The programme overview is adopted 2025-02-19 by Dean of Education.
AUTUMN TERM
Study period 1
Compulsory courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)ENM056 Electrical machines - design and analysis Examination 7.5 credits E ENM097 Future renewable based power systems Laboratory 1.5 credits ENM097 Future renewable based power systems Examples class 1.5 credits ENM097 Future renewable based power systems Project 2.5 credits ENM097 Future renewable based power systems Examination 2 credits S Elective courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)EEK202 Power system protection and monitoring Examination 7.5 credits E, 1), 2) EEN045 Electric power engineering, extended design project Project 7.5 credits *, 1), 3), 4), 2) EEN120 Recent advances in electric power engineering Project 7.5 credits E, 1), 3), 4), 2) EEN125 FEM-based design of electrical machines Project 3.5 credits 1), 3), 2) EEN125 FEM-based design of electrical machines Examination 4 credits S, 1), 3), 2) ESS101 Modelling and simulation Examination 4.5 credits 2) ESS101 Modelling and simulation Laboratory 3 credits S, 2) MMS196 Introduction to propulsion and energy systems for transport Examination 7.5 credits S, 1), 2) MTT040 High voltage technology Examination 7.5 credits S, 1), 3), 2) TME047 Chalmers formula student Written and oral assignments 0 credits *
Study period 2
Compulsory courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)ENM061 Power electronic converters Examination 6 credits ENM061 Power electronic converters Laboratory 1.5 credits S Elective courses
SPRING TERM
Study period 3
Elective courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)DAT341 Applied machine learning Take-home examination 4 credits DAT341 Applied machine learning Written and oral assignments 3.5 credits S DAT566 Introduction to data science and AI Written and oral assignments 4 credits DAT566 Introduction to data science and AI Examination 3.5 credits S ENM076 Electric drive systems Examination 4.5 credits 1) ENM076 Electric drive systems Laboratory 3 credits S, 1) MTT035 High voltage engineering Examination 7.5 credits S, 1) MTT060 Electric installations and statutes Project 4.5 credits 3), 5) MTT060 Electric installations and statutes Examination 3 credits S, 3), 5) SSY156 Modelling and control of mechatronic systems Design exercise + laboratory 7.5 credits S SSY282 Model predictive control Examination 7.5 credits E TEK315 Strategic management and economics of intellectual property Examination 7.5 credits E VMI036 Environmental management Project 7.5 credits S
Study period 4
Elective courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)DAT341 Applied machine learning Take-home examination 4 credits DAT341 Applied machine learning Written and oral assignments 3.5 credits S EEK221 Applied computational electromagnetics Project 7.5 credits E, 1), 3) ENM066 Advanced power system analysis Examination 5 credits 1) ENM066 Advanced power system analysis Project 2.5 credits S, 1) ENM071 Applied power electronics: Devices and implementations Examination 7.5 credits E, 1) 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 TEK250 Industrial management Examination 7.5 credits E TEK785 Advanced intellectual property management Examination 7.5 credits E TME047 Chalmers formula student Project 12 credits S VTM081 Life cycle assessment Examination 7.5 credits S
Other
Regardless of period
Elective courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)IBB139 Project management Intermediate test 1.5 credits IBB139 Project management Intermediate test 6 credits S
- 1 Compulsory elective: Compulsory electives in year 1 and 2 (EEK202, EEK221, EEN016, EEN045, EEN120, EEN125, EEN195, ENM052, ENM066, ENM071, ENM076, ENM100, MMS196, MTT035, MTT040) 5 of stated courses are required for the degree
- 2 Recommendation: This course should be studied in year 2 (EEK202, EEN016, EEN045, EEN120, EEN125, EEN195, ENM100, ESS101, MMS196, MTT040)
- 3 Compulsory elective: Project course (EEK221, EEN045, EEN120, EEN125, EEN195, MTT040, MTT060) 1 of stated courses are required for the degree
- 4 Overlap: Only one of the marked courses can be included in the degree (EEN045, EEN120)
- 5 Recommendation: Given in Swedish and based on Swedish regulations (MTT060)
- 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.
- E: The only module in the course. Module grade and grade for the course are reported at the same time.
- S: Final grade. All module grades are reported before the final grade for the course can be reported.
- *: The module includes education in another period