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)MVE137 Probability and statistical learning using Python Examination 7.5 credits E SSY121 Introduction to communication engineering Examination 7.5 credits E Elective courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)EDA387 Computer networks Laboratory 1.5 credits 1) EDA387 Computer networks Examination 6 credits S, 1) EEN100 Statistics and machine learning in high dimensions Oral examination 6 credits 1) EEN100 Statistics and machine learning in high dimensions Project 1.5 credits S, 1) RRY025 Image processing Examination 7.5 credits E, 1) RRY100 Satellite communications Oral examination 7.5 credits E, 1) 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)
Study period 2
Compulsory courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)SSY130 Applied signal processing Examination 7.5 credits S Elective courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)EEN020 Computer vision Project 3 credits 1) EEN020 Computer vision Written and oral assignments 4.5 credits S, 1) MCC100 Fiber optical communication Examination 7.5 credits S, 1) MCC125 Wireless link project Project 7.5 credits E, 1) RRY095 Satellite positioning Written and oral assignments 7.5 credits E, 1) SSY316 Advanced probabilistic machine learning Project 7.5 credits E, 1), 2) TDA352 Cryptography Laboratory 1.5 credits 1) TDA352 Cryptography Examination 6 credits S, 1)
SPRING TERM
Study period 3
Compulsory courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)EEN115 Introduction to communication networks Examination 7.5 credits E Elective courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)EDA264 Computer security Laboratory 1.5 credits 1) EDA264 Computer security Written and oral assignments 6 credits S, 1) EEN210 Applied digital health Project 5 credits 1) EEN210 Applied digital health Oral examination 2.5 credits S, 1) EEN245 Machine learning with graphs Examination 7.5 credits E, 1) MCC048 Photonics and lasers Laboratory 1.5 credits 1) MCC048 Photonics and lasers Project 1.5 credits 1) MCC048 Photonics and lasers Examination 4.5 credits S, 1) RRY057 Electromagnetic sensor systems Examination 6 credits 1), 2) RRY057 Electromagnetic sensor systems Laboratory 1.5 credits S, 1), 2) SSY135 Wireless communications Examination 7.5 credits S, 1) SSY205 Matrix analysis with applications, advanced level Project 7.5 credits E, 1), 2), 3)
Study period 4
Compulsory courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)EEN240 Information, inference, and coding Examination 7.5 credits S Elective courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2025 - aug 2026)DAT535 Implementation of digital signal processing systems Laboratory 3.5 credits DAT535 Implementation of digital signal processing systems Examination 4 credits S EDA491 Network security Examination 6 credits 1), 2) EDA491 Network security Laboratory 1.5 credits S, 1), 2) MCC142 Integrated photonics Examples class 4.5 credits 1), 4) MCC142 Integrated photonics Laboratory 1.5 credits 1), 4) MCC142 Integrated photonics Project 1.5 credits S, 1), 4) RRY081 Radar systems and applications Laboratory 1.5 credits 1), 4) RRY081 Radar systems and applications Examination 6 credits S, 1), 4) SSY098 Image analysis Project 3.5 credits 1), 2) SSY098 Image analysis Laboratory 4 credits S, 1), 2) SSY100 Antenna engineering Examination 7.5 credits E, 1), 4) SSY145 Wireless networks Examination 7.5 credits S, 1), 2) SSY210 Information theory, advanced level Oral examination 7.5 credits E, 1), 2), 3) SSY345 Sensor fusion and nonlinear filtering Written and oral assignments 7.5 credits S, 1), 2) TMS016 Spatial statistics and image analysis Examination 7.5 credits S, 1)
- 1 Compulsory elective: - (EDA264, EDA387, EDA491, EEN020, EEN100, EEN210, EEN245, MCC048, MCC100, MCC125, MCC142, RRY025, RRY057, RRY081, RRY095, RRY100, SSY098, SSY100, SSY135, SSY145, SSY205, SSY210, SSY316, SSY340, SSY345, TDA352, TMA947, TMS016) 3 of stated courses are required for the degree
- 2 Recommendation: Algorithm-related courses (EDA491, RRY057, SSY098, SSY145, SSY205, SSY210, SSY316, SSY345)
- 3 Is given every other year
- 4 Recommendation: Hardware-related courses (MCC142, RRY081, SSY100)
- 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.