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Block schedule »   Permissible substitutions »   Study programme syllabus for class 2020/2021 »  | Year:  1  2 

Study programme for  
MPEPO - ELECTRIC POWER ENGINEERING, MSC PROGR Academic year: 2020/2021
ELKRAFTTEKNIK, MASTERPROGRAM
The Study programme is adopted 2019-02-19 by Dean of Education

First Year
Explanations
Dept Course code Module
code
Note Block Course name, Module type Extent/
period
Regular
exam
Re-sit examination
Oct -20 up to Aug -21
AUTUMN TERM
Study period 1
Compulsory courses
32 ENM051 0118 E B+ Power system analysis and control, Examination 7,5 26/10-2020 am J Change 05/01-2021 pm J 19/08-2021 am J
32 ENM056 0118 E D+ Electrical machines - design and analysis, Examination 7,5 29/10-2020 am J Change 04/01-2021 pm J 23/08-2021 pm J
Elective courses
32 ESS101 0107  A+ Modelling and simulation, Examination 4,5 28/10-2020 am L Change 07/01-2021 pm J 23/08-2021 am J
32 ESS101 0207 S A+ Modelling and simulation, Laboratory 3,0
30 TME047 0114 * Chalmers formula student, Written and oral assignments 0,0
30 TME122 0120  B Engineering of automotive systems, Written and oral assignments 3,0
30 TME122 0220 S B Engineering of automotive systems, Examination 4,5 26/10-2020 am J Change 07/01-2021 pm J 25/08-2021 am J
Study period 2
Compulsory courses
32 ENM061 0116  A+ Power electronic converters, Examination 6,0 16/01-2021 pm J Change 07/04-2021 pm J 24/08-2021 pm J
32 ENM061 0216 S A+ Power electronic converters, Laboratory 1,5
32 MTT035 0107 S D High voltage engineering, Examination 7,5 13/01-2021 pm J Change 09/04-2021 pm J 18/08-2021 pm J
Elective courses
32 SSY285 0111  A Linear control system design, Design exercise + laboratory 3,0
32 SSY285 0211 S A Linear control system design, Examination 4,5 11/01-2021 pm J Change 07/04-2021 am J 27/08-2021 am J
30 TME047 0114 * Chalmers formula student, Written and oral assignments 3,0
 
SPRING TERM
Study period 3
Elective courses
37 DAT340 0117  B Applied Machine Learning, Examination 4,0
37 DAT340 0217 S B Applied Machine Learning, Written and oral assignments 3,5
37 DAT405 0119 E Introduction to data science and AI, Written and oral assignments 7,5
32 ENM066 0118  1)  C+ Advanced power system analysis, Examination 5,0
32 ENM066 0218 S 1)  C+ Advanced power system analysis, Project 2,5
32 ENM076 0118  1)  A+ Electric drive systems, Examination 4,5
32 ENM076 0218 S 1)  A+ Electric drive systems, Laboratory 3,0
32 MTT060 0109  2)  B+ Electric installations and statutes, Project 4,5
32 MTT060 0209 S 2)  B+ Electric installations and statutes, Examination 3,0
32 SSY156 0115 S A Modelling and control of mechatronic systems, Design exercise + laboratory 7,5
32 SSY281 0118 E D Model predictive control, Design exercise 7,5
45 TEK255 0107 E Managerial economics, Examination 7,5
30 TME095 0107 E B Electric and Hybrid Vehicles, Examination 7,5
45 VMI035 0101 S B Environmental management, Examination 7,5
Study period 4
Elective courses
37 DAT340 0117  C Applied Machine Learning, Examination 4,0 Contact examiner
37 DAT340 0217 S C Applied Machine Learning, Written and oral assignments 3,5
32 ENM070 0107 E 1)  A+ Power electronic devices and applications, Examination 7,5 09/10-2020 pm J
32 MTT040 0107 S 1)  D High voltage technology, Examination 7,5 10/10-2020 am J
32 SSY191 0118  3)  C Model-based development of cyber-physical systems, Project 4,0
32 SSY191 0218  3)  C Model-based development of cyber-physical systems, Written and oral assignments 2,0
32 SSY191 0318 S 3)  C Model-based development of cyber-physical systems, Project 1,5
45 TEK250 0107 E Industrial management, Examination 7,5 10/10-2020 pm J
45 TEK315 0108 E D Strategic management and economics of intellectual property, Examination 7,5 09/10-2020 am J
30 TME047 0214 S Chalmers formula student, Project 12,0
45 VTM081 0199 S D Life cycle assessment, Examination 7,5 10/10-2020 am J
1) Compulsory elective: For year 1 (ENM066, ENM070, ENM076, MTT040): 2 of stated courses are required for the degree
2) Recommendation: Given in Swedish and based on Swedish regulations (MTT060)
3) Recommendation: Only for students who have studied ESS101 and SSY285 (SSY191)
* Element includes education in another quarter
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.
DIG Digital examination is a examination written in the Inspera system. The student will bring their own computer and access the exam via Safe exam browser
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Published: Mon 28 Nov 2016.