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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

Published: Mon 28 Nov 2016.