Courses 2020/21 for F Programme

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Engineering Physics ◄ 20/21

Study Year 1 (Mandatory Courses)

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	20/21 sp1					20/21 sp2					20/21 sp3					20/21 sp4
							F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
FMAB65	7.5	G1	-	S	Calculus in One Variable B1	KS KE U W T	50	30	0	0	120
FMAB20	6	G1	-	S	Linear Algebra	KS KE U W T	40	16	0	0	106
FAFA55	9	G1	-	S	Concepts in Quantum Physics	KS KE U W T	4	0	0	14	20	28	14	21	8	140
FMAB70	7.5	G1	-	S	Calculus in One Variable B2	KS KE U W T						50	30	0	0	120
FMEA35	6	G1	-	S	Engineering Mechanics I	KS KE U W T											36	28	0	0	96
FMAB35	7.5	G1	-	S	Calculus in Several Variables	KS KE U W T											38	14	2	0	79	14	8	0	0	45
EDAA55	9	G1	-	S	Programming, First Course	KS KE U W T											26	0	20	0	90	22	0	12	0	70
FAFF40	7.5	G2	-	S	Waves and Optics	KS KE U T																40	28	16	0	120

Study Year 2 (Mandatory Courses)

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	20/21 sp1					20/21 sp2					20/21 sp3					20/21 sp4
							F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
FMAF01	7	G2	-	E1	Mathematics - Analytic Functions	KS KE U W T	42	24	0	1	128
FMEA20	6	G1	-	S	Mechanics - Dynamics	KS KE U W T	34	24	2	4	96
FMFF05	6	G2	-	S	Thermodynamics with Applications	KS KE U W T	28	28	12	0	32	4	0	8	4	64
FHLA10	4.5	G1	-	S	Solid Mechanics, Basic Course	KS KE U W T						20	20	0	0	80
FMAF05	7	G2	-	E1	Mathematics - Systems and Transforms	KS KE U W T						40	16	0	1	130
FRTF05	7.5	G2	-	S	Automatic Control, Basic Course	KS KE U W T											30	30	12	0	128
FMFF01	3	G2	-	S	Vector Analysis	KS KE U W T											14	14	0	0	50
FMAN55	7.5	A	-	S	Applied Mathematics	KS KE U W T											24	12	2	0	62	22	14	2	0	62
EITF90	7.5	G2	-	S	Electromagnetics and Electronics	KS KE U W T																34	28	4	0	134
BMEF05	4.5	G2	-	S	Electrical Measurements	KS KE U W T																14	10	20	0	76

Study Year 3 (Mandatory Courses)

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Footnote	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	20/21 sp1					20/21 sp2					20/21 sp3					20/21 sp4
								F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
EITF85	6	G2	-	S	Electromagnetic Field Theory		KS KE U W T	28	28	0	0	100
FAFF10	15	G2	-	S	Atomic and Nuclear Physics with Applications		KS KE U W T	42	20	10	0	120	24	26	20	5	120
FMNN10	8	A	X	E1	Numerical Methods for Differential Equations		KS KE U W T						48	0	0	3	160
FFFF05	7.5	G2	-	S	Solid State Physics		KS KE U W T											34	14	14	0	140
FMSF80	9	G2	-	S	Mathematical Statistics, Basic Course	X Replaces FMSF45	KS KE U W T											18	14	4	0	85	18	14	2	2	85
FHLF01	6	G2	-	S	Finite Element Method		KS KE U W T																28	26	2	0	120
FMIF55	3	G2	-	S	Sustainable Development		KS KE U W T																16	4	0	1	59

FMSF80 Mathematical Statistics, Basic Course: Replaces FMSF45

Study Year 3 (Elective Mandatory Courses)

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	20/21 sp1					20/21 sp2					20/21 sp3					20/21 sp4
							F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
MIOA12	6	G1	-	S	Managerial Economics, Basic Course	KS KE U W T											50	12	5	0	93
ETIA10	7.5	G1	X	E	Patent and Intellectual Property Rights	KS KE U W T											28	6	3	0	160

Specialisation aft - Accelerators - Physics and Technology

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	Mand./ Elect. The course is O = Mandatory, A = Elective mandatory, V = Elective, or E = Externally elective in the programme and spec.	Year Study year the course belongs to according to normal study plan.	From year Students are permitted to read the course from this year of study.	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Footnote	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	sp1					sp2					sp3					sp4
											F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
FKFN20	7.5	A	V	4	4	X	E	Nuclear Physics, Advanced Course		KS KE U W T	40	6	20	4	130
FMFN01	7.5	A	V	4	4	X	E1	Quantum Mechanics, Advanced Course 1		KS KE U W T	20	20	0	10	150
FAFF01	7.5	G2	V	4	4	X	E	Optics and Optical Design		KS KE U W T	26	12	15	0	150
EXTF90	7.5	G2	V	4	4	X	E	Photon and Neutron Production for Science	X The course is given by the Faculty of Science and does not follow the study period structure.	KS KE U W T	24	12	9	6	150
EXTN90	7.5	A	V	4	4	X	E	Experimental Methods and Instrumentation for Synchrotron Radiation Research	X The course is given by the Faculty of Science and does not follow the study period structure.	KS KE U W T						26	6	4	6	150
FHLN10	7.5	A	V	4	4	X	E	Modern Experimental Mechanics		KS KE U W T						28	0	28	0	100
EXTF85	7.5	G2	V	4	4	X	E1	Particle Physics, Cosmology and Accelerators	X The course is given by the Faculty of Science and does not follow the study period structure.	KS KE U W T						27	3	10	0	120
EXTN95	7.5	A	V	4	4	X	E	Accelerators and Free Electron Lasers	X The course is given by the Faculty of Science and does not follow the study period structure. The course is offered every other academic year and will be given in 2020/21, 2022/23.	KS KE U W T											24	12	9	6	150
EXTQ45	7.5	A	V	4	4	-	E	Modern X-ray Physics - Diffraction and Imaging		KS KE U W T											32	16	8	0	144
EXTN85	7.5	A	V	4	4	X	E	Scattering Methods	X The course is given by the Faculty of Science and does not follow the study period structure.	KS KE U W T											17	4	18	0	158
FKFN25	7.5	A	V	4	4	X	E1	Applied Nuclear, Neutron and Reactor Physics		KS KE U W T											14	6	15	10	155
EITN80	7.5	A	V	4	4	X	E1	Electrodynamics		KS KE U W T																28	14	4	0	154
EXTF85	7.5	G2	V	4	4	X	E1	Particle Physics, Cosmology and Accelerators	X The course is given by the Faculty of Science and does not follow the study period structure.	KS KE U W T																27	3	10	0	120
EXTP95	7.5	A	V	4	4	X	E1	The Physics of Surfaces	X The course is given by the Faculty of Science and does not follow the study period structure.	KS KE U W T																21	0	0	16	174
FKFN30	7.5	A	V	4	4	X	E	Modern Subatomic Physics	X The course is offered every other academic year and will next be offered in 2021/22.	KS KE U W T	Course on hold Course on hold: The course is not given this academic year, but is planned to be given next academic year.

EXTF90 Photon and Neutron Production for Science: The course is given by the Faculty of Science and does not follow the study period structure.

EXTN90 Experimental Methods and Instrumentation for Synchrotron Radiation Research: The course is given by the Faculty of Science and does not follow the study period structure.

EXTF85 Particle Physics, Cosmology and Accelerators: The course is given by the Faculty of Science and does not follow the study period structure.

EXTN95 Accelerators and Free Electron Lasers: The course is given by the Faculty of Science and does not follow the study period structure. The course is offered every other academic year and will be given in 2020/21, 2022/23.

EXTN85 Scattering Methods: The course is given by the Faculty of Science and does not follow the study period structure.

EXTP95 The Physics of Surfaces: The course is given by the Faculty of Science and does not follow the study period structure.

FKFN30 Modern Subatomic Physics: The course is offered every other academic year and will next be offered in 2021/22.

Specialisation bem - Computational Mechanics

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	Mand./ Elect. The course is O = Mandatory, A = Elective mandatory, V = Elective, or E = Externally elective in the programme and spec.	Year Study year the course belongs to according to normal study plan.	From year Students are permitted to read the course from this year of study.	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Footnote	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	sp1					sp2					sp3					sp4
											F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
FHLN05	7.5	A	V	4	4	X	E	Computational Inelasticity		KS KE U W T	38	28	4	0	130
FMEN21	7.5	A	V	4	4	X	E	Continuum Mechanics		KS KE U W T	42	14	0	2	142
FHLN20	7.5	A	V	4	4	X	E	Finite Element Method for Non-linear Systems		KS KE U W T						28	0	28	0	144
FMEN11	7.5	A	V	4	4	X	E	Mechanical Vibrations		KS KE U W T						42	14	0	0	144
MMVF15	6	G2	V	4	4	-	S	Fluid Mechanics		KS KE U W T						22	28	4	0	106
FMEN02	7.5	A	V	4	4	X	E	Multibody Dynamics		KS KE U W T											36	14	0	4	146
VSMN10	7.5	A	V	4	4	X	E1	Structural Dynamic Computing		KS KE U W T											20	0	8	2	170
FHLN01	7.5	A	V	4	4	X	E	Structural Optimization		KS KE U W T											28	26	2	0	100
MMVF05	7.5	G2	V	4	4	X	E	Heat Transfer		KS KE U W T											42	38	0	14	106
MMVN05	7.5	A	V	4	4	X	E1	Numerical Fluid Dynamics and Heat Transfer		KS KE U W T																28	24	10	4	134
MVKN70	7.5	A	V	5	4	X	E	Advanced Methods within Numerical Fluid Mechanics and Heat Transfer		KS KE U W T	28	24	10	4	134
FKMN20	7.5	A	V	5	4	X	E	Advanced Materials Technology		KS KE U W T						42	14	8	10	70
MVKN90	7.5	A	V	5	4	X	E	Turbulence - Theory and Modelling		KS KE U W T						28	26	8	4	134
FMEN25	7.5	A	V	4	4	X	E1	Nano Mechanics and Multiscale Modelling	X The course is offered every other academic year and will next be offered in 2021/22.	KS KE U W T	Course on hold Course on hold: The course is not given this academic year, but is planned to be given next academic year.

FMEN25 Nano Mechanics and Multiscale Modelling: The course is offered every other academic year and will next be offered in 2021/22.

Specialisation bg - Images and Computer Graphics

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	Mand./ Elect. The course is O = Mandatory, A = Elective mandatory, V = Elective, or E = Externally elective in the programme and spec.	Year Study year the course belongs to according to normal study plan.	From year Students are permitted to read the course from this year of study.	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Footnote	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	sp1					sp2					sp3					sp4
											F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
FMAN20	7.5	A	V	4	4	X	E1	Image Analysis		KS KE U W T	32	0	0	2	166
EDAF80	7.5	G2	V	4	4	X	E	Computer Graphics		KS KE U W T	26	0	10	0	160
FMSF15	7.5	G2	V	4	4	X	E	Markov Processes	X The course is to be studied together with MASC03.	KS KE U W T	26	16	6	0	140
FMNN01	7.5	A	V	4	4	X	E	Numerical Linear Algebra		KS KE U W T	36	0	0	6	160
FMSF10	7.5	G2	V	4	4	X	E	Stationary Stochastic Processes	X The course is to be studied together with MASC04	KS KE U W T	22	16	6	0	145
FMAN70	6	A	V	4	4	X	E1	Matrix Theory		KS KE U W T	18	10	0	1	56	12	4	0	1	58
EDAN35	7.5	A	V	4	4	X	E	High Performance Computer Graphics		KS KE U W T						28	0	12	0	160
EXTQ40	7.5	A	V	4	4	-	E1	Introduction to Artificial Neural Networks and Deep Learning		KS KE U W T						34	10	30	0	126
FMSN45	7.5	A	V	4	4	X	E	Mathematical Statistics, Time Series Analysis	X The course is to be studied together with MASM17.	KS KE U W T						24	12	12	5	120
FMAN30	7.5	A	V	4	4	X	E1	Medical Image Analysis		KS KE U W T						32	0	0	3	165
FMAN60	6	A	V	4	4	X	E1	Optimization		KS KE U W T						32	14	4	1	109
FMSN20	7.5	A	V	4	4	X	E	Spatial Statistics with Image Analysis	X The course is to be studied together with MASM25	KS KE U W T						26	0	18	5	150
FMAN95	7.5	A	V	4	4	X	E1	Computer Vision		KS KE U W T											32	0	0	2	166
FMAN25	7.5	A	V	4	4	X	E1	Calculus of Variations		KS KE U W T											18	0	0	0	82	16	0	0	0	84
FMAN45	7.5	A	V	4	4	-	E1	Machine Learning		KS KE U W T																28	0	0	2	170

FMSF15 Markov Processes: The course is to be studied together with MASC03.

FMSF10 Stationary Stochastic Processes: The course is to be studied together with MASC04

FMSN45 Mathematical Statistics, Time Series Analysis: The course is to be studied together with MASM17.

FMSN20 Spatial Statistics with Image Analysis: The course is to be studied together with MASM25

Specialisation bm - Biological and Medical Modelling

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	Mand./ Elect. The course is O = Mandatory, A = Elective mandatory, V = Elective, or E = Externally elective in the programme and spec.	Year Study year the course belongs to according to normal study plan.	From year Students are permitted to read the course from this year of study.	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Footnote	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	sp1					sp2					sp3					sp4
											F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
FMAN20	7.5	A	V	4	4	X	E1	Image Analysis		KS KE U W T	32	0	0	2	166
BMEN05	7.5	A	V	4	4	X	E	Biomechanics		KS KE U W T	32	8	0	10	110
EITF75	6	G2	V	4	4	X	E1	Systems and Signals		KS KE U W T	28	28	8	0	96
FMSF15	7.5	G2	V	4	4	X	E	Markov Processes	X The course is to be studied together with MASC03.	KS KE U W T	26	16	6	0	140
FMSF10	7.5	G2	V	4	4	X	E	Stationary Stochastic Processes	X The course is to be studied together with MASC04	KS KE U W T	22	16	6	0	145
FMAN15	7.5	A	V	4	4	X	E	Nonlinear Dynamical Systems		KS KE U W T	16	6	0	0	78	14	8	0	0	78
BMEN10	7.5	A	V	4	4	X	E	Tissue Biomechanics		KS KE U W T						24	0	20	0	100
FMSN45	7.5	A	V	4	4	X	E	Mathematical Statistics, Time Series Analysis	X The course is to be studied together with MASM17.	KS KE U W T						24	12	12	5	120
FMAN30	7.5	A	V	4	4	X	E1	Medical Image Analysis		KS KE U W T						32	0	0	3	165
FMSN50	7.5	A	V	4	4	X	E	Monte Carlo and Empirical Methods for Stochastic Inference	X The course is to be studied together with MASM11.	KS KE U W T											28	0	12	5	140
EXTQ01	7.5	A	V	4	4	X	E	Theoretical Biophysics	X The course is given by the Faculty of Science and does not follow the study period structure.	KS KE U W T											40	0	0	10	150
FMAN01	7.5	A	V	4	4	X	E1	Biomathematics		KS KE U W T											14	6	0	1	79	14	6	0	1	79
FMSF65	7.5	G2	V	4	4	X	E	Design of Experiments		KS KE U W T																14	14	14	1	150
BMEN01	7.5	A	V	4	4	X	E1	Biomedical Signal Processing		KS KE U W T																14	14	0	7	165

FMSF15 Markov Processes: The course is to be studied together with MASC03.

FMSF10 Stationary Stochastic Processes: The course is to be studied together with MASC04

FMSN45 Mathematical Statistics, Time Series Analysis: The course is to be studied together with MASM17.

FMSN50 Monte Carlo and Empirical Methods for Stochastic Inference: The course is to be studied together with MASM11.

EXTQ01 Theoretical Biophysics: The course is given by the Faculty of Science and does not follow the study period structure.

Specialisation bs - Computation and Simulation

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	Mand./ Elect. The course is O = Mandatory, A = Elective mandatory, V = Elective, or E = Externally elective in the programme and spec.	Year Study year the course belongs to according to normal study plan.	From year Students are permitted to read the course from this year of study.	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Footnote	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	sp1					sp2					sp3					sp4
											F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
FMNN25	7.5	A	V	4	4	X	E1	Advanced Course in Numerical Algorithms with Python/SciPy		KS KE U W T	28	0	0	3	169
FMNN01	7.5	A	V	4	4	X	E	Numerical Linear Algebra		KS KE U W T	36	0	0	6	160
FMAN70	6	A	V	4	4	X	E1	Matrix Theory		KS KE U W T	18	10	0	1	56	12	4	0	1	58
FMAN15	7.5	A	V	4	4	X	E	Nonlinear Dynamical Systems		KS KE U W T	16	6	0	0	78	14	8	0	0	78
EDAG01	7.5	G2	V	4	4	X	S	Efficient C	X EDAA25 and EDAF15 can not be included in the degree at the same time as EDAG01.	KS KE U W T						28	12	12	0	148
FHLN20	7.5	A	V	4	4	X	E	Finite Element Method for Non-linear Systems		KS KE U W T						28	0	28	0	144
FMAN60	6	A	V	4	4	X	E1	Optimization		KS KE U W T						32	14	4	1	109
FMAF35	6	G2	V	4	4	X	E1	Linear and Combinatorial Optimization		KS KE U W T											26	0	4	1	130
FRTN45	4.5	A	V	4	4	-	S	Mathematical Modelling, Advanced Course		KS KE U W T											4	0	0	6	100
FMNN05	7.5	A	V	4	4	X	E1	Simulation Tools		KS KE U W T											28	0	0	3	169
FMAN45	7.5	A	V	4	4	-	E1	Machine Learning		KS KE U W T																28	0	0	2	170
VSMN20	7.5	A	V	4	4	X	E1	Software Development for Technical Applications		KS KE U W T																16	32	0	0	152
FMAN80	7.5	A	V	5	4	X	E1	Functional Analysis and Harmonic Analysis		KS KE U W T	20	10	0	0	108	8	4	0	0	50
FMNN30	7.5	A	V	4	4	X	E	Iterative Solution of Large Scale Systems in Scientific Computing	X The course is offered every other academic year and will next be offered in 2021/22.	KS KE U W T	Course on hold Course on hold: The course is not given this academic year, but is planned to be given next academic year.

EDAG01 Efficient C: EDAA25 and EDAF15 can not be included in the degree at the same time as EDAG01.

FMNN30 Iterative Solution of Large Scale Systems in Scientific Computing: The course is offered every other academic year and will next be offered in 2021/22.

Specialisation es - Energy Systems

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	Mand./ Elect. The course is O = Mandatory, A = Elective mandatory, V = Elective, or E = Externally elective in the programme and spec.	Year Study year the course belongs to according to normal study plan.	From year Students are permitted to read the course from this year of study.	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Footnote	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	sp1					sp2					sp3					sp4
											F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
FAFN25	7.5	A	V	4	4	X	E	Atomic and Molecular Spectroscopy		KS KE U W T	36	4	15	0	145
EIEN41	7.5	A	V	4	4	X	E1	Electric and Electric Hybrid Vehicle Technology		KS KE U W T	28	6	0	24	142
EIEN15	7.5	A	V	4	4	X	E1	Electric Power Systems		KS KE U W T	16	22	8	7	110
MVKP01	7.5	A	V	4	4	-	S	District Heating and Cooling		KS KE U W T	15	20	9	4	147
FMIN25	7.5	A	V	4	4	-	S	Energy Systems Analysis: Energy, Environment and Natural Resources		KS KE U W T	18	6	0	0	76	18	6	0	0	76
MVKP10	7.5	A	V	4	4	X	E1	Energy Engineering		KS KE U T						28	28	0	0	144
MVKP15	7.5	A	V	4	4	X	E	Wind Power Technology		KS KE U T						28	28	4	0	140
MVKN20	7.5	A	V	4	4	-	S	Energy Utilization		KS KE U W T											4	24	0	2	170
FFFN25	7.5	A	V	4	4	X	E	Optoelectronics and Optical Communication		KS KE U W T											28	14	12	0	145
AEBF30	7.5	G2	V	4	4	X	E	Photovoltaic Systems, Basic Course		KS KE U W T											25	9	10	1	155
FMIN20	7.5	A	V	4	4	-	S	Energy Systems Analysis: Renewable Sources of Energy		KS KE U W T											28	12	0	1	92	14	4	0	1	48
FKFN35	7.5	A	V	4	4	X	E	Methods for Environmental Monitoring		KS KE U W T											10	0	10	2	80	8	0	4	4	80
FKFF05	5	G2	V	4	4	X	E	Atmospheric Chemistry and Physics		KS KE U W T																20	12	0	4	100
FBRF01	7.5	G2	V	4	4	X	E	Fundamental Combustion		KS KE U W T																28	8	4	60	100
EIEN10	7.5	A	V	4	4	X	E1	Wind Power Systems	X The course is not offered 2020/21.	KS KE U W T	Course on hold Course on hold: The course is not given this academic year, but is planned to be given next academic year.

EIEN10 Wind Power Systems: The course is not offered 2020/21.

Specialisation f - Photonics

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	Mand./ Elect. The course is O = Mandatory, A = Elective mandatory, V = Elective, or E = Externally elective in the programme and spec.	Year Study year the course belongs to according to normal study plan.	From year Students are permitted to read the course from this year of study.	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Footnote	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	sp1					sp2					sp3					sp4
											F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
FAFN25	7.5	A	V	4	4	X	E	Atomic and Molecular Spectroscopy		KS KE U W T	36	4	15	0	145
EITG05	7.5	G2	V	4	4	X	E	Digital Communications		KS KE U W T	24	28	4	0	144
FMFN01	7.5	A	V	4	4	X	E1	Quantum Mechanics, Advanced Course 1		KS KE U W T	20	20	0	10	150
FAFF01	7.5	G2	V	4	4	X	E	Optics and Optical Design		KS KE U W T	26	12	15	0	150
FAFN01	7.5	A	V	4	4	X	E	Lasers		KS KE U W T						26	12	10	0	150
FAFN35	7.5	A	V	4	4	X	E	Medical Optics		KS KE U W T						24	15	8	40	110
FBRN05	7.5	A	V	4	4	X	E1	Laser-Based Diagnostics		KS KE U W T											28	4	8	10	150
FAFN05	7.5	A	V	4	4	X	E	Light - Matter Interaction		KS KE U W T											26	12	10	1	160
FFFN25	7.5	A	V	4	4	X	E	Optoelectronics and Optical Communication		KS KE U W T											28	14	12	0	145
EITN90	7.5	A	V	4	4	X	E	Radar and Remote Sensing		KS KE U W T											28	14	6	5	147
FAFN10	7.5	A	V	4	4	X	E	Advanced Optics and Lasers		KS KE U W T																26	12	10	0	150
FBRN10	7.5	A	V	4	4	X	E	Biophotonics		KS KE U T																28	8	12	4	148
EITN80	7.5	A	V	4	4	X	E1	Electrodynamics		KS KE U W T																28	14	4	0	154
FAFN40	7.5	A	V	4	4	X	E	Quantum Information	X The course is offered every other academic year and will be given in 2020/21, 2022/23.	KS KE U W T																40	0	4	4	152

FAFN40 Quantum Information: The course is offered every other academic year and will be given in 2020/21, 2022/23.

Specialisation fm - Financial Modelling

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	Mand./ Elect. The course is O = Mandatory, A = Elective mandatory, V = Elective, or E = Externally elective in the programme and spec.	Year Study year the course belongs to according to normal study plan.	From year Students are permitted to read the course from this year of study.	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Footnote	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	sp1					sp2					sp3					sp4
											F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
FMNN25	7.5	A	V	4	4	X	E1	Advanced Course in Numerical Algorithms with Python/SciPy		KS KE U W T	28	0	0	3	169
FMSF10	7.5	G2	V	4	4	X	E	Stationary Stochastic Processes	X The course is to be studied together with MASC04	KS KE U W T	22	16	6	0	145
EXTF45	6	G2	V	4	4	-	S	Financial Management		KS KE U W T						32	10	6	0	110
FMSN45	7.5	A	V	4	4	X	E	Mathematical Statistics, Time Series Analysis	X The course is to be studied together with MASM17.	KS KE U W T						24	12	12	5	120
FMAN60	6	A	V	4	4	X	E1	Optimization		KS KE U W T						32	14	4	1	109
FMSN50	7.5	A	V	4	4	X	E	Monte Carlo and Empirical Methods for Stochastic Inference	X The course is to be studied together with MASM11.	KS KE U W T											28	0	12	5	140
FMSF05	7.5	G2	V	4	4	X	E	Probability Theory	X The course is to be studied together with MASC01	KS KE U W T											26	14	0	0	160
EXTQ35	7.5	A	V	4	4	X	E	Financial Valuation and Risk Management	X The course is to be studied together with NEKN83, which is given by the Department of Economics. Does not follow the study period structure.	KS KE U W T											40	0	4	0	150
FMSN30	7.5	A	V	4	4	X	E	Linear and Logistic Regression		KS KE U W T																24	0	26	2	120
FMAN45	7.5	A	V	4	4	-	E1	Machine Learning		KS KE U W T																28	0	0	2	170
FRTN30	7.5	A	V	4	4	X	E	Network Dynamics		KS KE U W T																28	28	16	0	130
FMSN55	7.5	A	V	4	4	X	E	Statistical Modelling of Extreme Values		KS KE U W T																28	14	9	1	120
FMSN25	7.5	A	V	5	4	X	E	Valuation of Derivative Assets	X The course is to be studied together with MASM24	KS KE U W T	30	26	6	1	130
FMSN60	7.5	A	V	5	4	X	E	Financial Statistics	X The course is to be studied together with MASM18	KS KE U W T						28	14	16	5	130
FMSN15	7.5	A	V	5	4	X	E	Statistical Modelling of Multivariate Extreme Values	X The course is offered every other academic year and will be given in 2020/21, 2022/23.	KS KE U W T						28	14	9	1	120

FMSF10 Stationary Stochastic Processes: The course is to be studied together with MASC04

FMSN45 Mathematical Statistics, Time Series Analysis: The course is to be studied together with MASM17.

FMSN50 Monte Carlo and Empirical Methods for Stochastic Inference: The course is to be studied together with MASM11.

FMSF05 Probability Theory: The course is to be studied together with MASC01

EXTQ35 Financial Valuation and Risk Management: The course is to be studied together with NEKN83, which is given by the Department of Economics. Does not follow the study period structure.

FMSN25 Valuation of Derivative Assets: The course is to be studied together with MASM24

FMSN60 Financial Statistics: The course is to be studied together with MASM18

FMSN15 Statistical Modelling of Multivariate Extreme Values: The course is offered every other academic year and will be given in 2020/21, 2022/23.

Specialisation hn - High-frequency and Nanoelectronics

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	Mand./ Elect. The course is O = Mandatory, A = Elective mandatory, V = Elective, or E = Externally elective in the programme and spec.	Year Study year the course belongs to according to normal study plan.	From year Students are permitted to read the course from this year of study.	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	sp1					sp2					sp3					sp4
										F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
ETIN20	7.5	A	V	4	4	X	E	Digital IC-design	KS KE U W T	24	12	12	0	150
FFFN30	7.5	A	V	4	4	X	E1	Semiconductor Physics	KS KE U W T	34	14	16	0	136
EITF50	7.5	G2	V	4	4	X	E	An Introduction to Wireless Systems	KS KE U W T	18	18	12	0	152
ETIN70	7.5	A	V	4	4	X	E1	Modern Electronics	KS KE U W T	28	14	8	0	150
FFFF10	7.5	G2	V	4	4	X	E	Processing and Device Technology	KS KE U W T	26	12	20	0	140
FFFN01	7.5	A	V	4	4	-	E	Advanced Processing of Nanostructures	KS KE U W T	6	2	12	30	60	0	0	0	30	60
ETIN25	7.5	A	V	4	4	X	E	Analogue IC-design	KS KE U W T						22	14	12	0	152
ETEN10	7.5	A	V	4	4	X	E	Antenna Technology	KS KE U W T						28	14	6	0	152
ETIN50	7.5	A	V	4	4	X	E	RF Amplifier Design	KS KE U W T						18	16	16	0	150
EITP01	7.5	A	V	4	4	X	E1	High Speed Devices	KS KE U W T						32	10	8	0	150
EITP05	7.5	A	V	4	4	X	E1	Nanoelectronics	KS KE U W T											26	0	4	3	167
FFFN25	7.5	A	V	4	4	X	E	Optoelectronics and Optical Communication	KS KE U W T											28	14	12	0	145
FFFN01	7.5	A	V	4	4	-	E	Advanced Processing of Nanostructures	KS KE U W T											6	2	12	30	60	0	0	0	30	60
EITN80	7.5	A	V	4	4	X	E1	Electrodynamics	KS KE U W T																28	14	4	0	154
EITP25	7.5	A	V	4	4	X	E	Memory Technology for Machine Learning	KS KE U W T																26	0	4	2	168

Specialisation mai - Machine Intelligence

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	Mand./ Elect. The course is O = Mandatory, A = Elective mandatory, V = Elective, or E = Externally elective in the programme and spec.	Year Study year the course belongs to according to normal study plan.	From year Students are permitted to read the course from this year of study.	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Footnote	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	sp1					sp2					sp3					sp4
											F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
EDAN20	7.5	A	V	4	4	X	E	Language Technology		KS KE U W T	20	0	14	0	160
FMSF10	7.5	G2	V	4	4	X	E	Stationary Stochastic Processes	X The course is to be studied together with MASC04	KS KE U W T	22	16	6	0	145
FMAN70	6	A	V	4	4	X	E1	Matrix Theory		KS KE U W T	18	10	0	1	56	12	4	0	1	58
EXTQ40	7.5	A	V	4	4	-	E1	Introduction to Artificial Neural Networks and Deep Learning		KS KE U W T						34	10	30	0	126
EXTA65	4.5	G1	V	4	4	-	S	Cognition		KS KE U W T						20	12	0	0	84
FMAN60	6	A	V	4	4	X	E1	Optimization		KS KE U W T						32	14	4	1	109
EDAN95	7.5	A	V	4	4	X	E	Applied Machine Learning		KS KE U W T						28	0	14	0	156
EDAP01	7.5	A	V	4	4	X	E	Artificial Intelligence	X Replaces EDAF70	KS KE U W T											28	0	0	0	170
FMAN95	7.5	A	V	4	4	X	E1	Computer Vision		KS KE U W T											32	0	0	2	166
FMSN30	7.5	A	V	4	4	X	E	Linear and Logistic Regression		KS KE U W T																24	0	26	2	120
FMAN45	7.5	A	V	4	4	-	E1	Machine Learning		KS KE U W T																28	0	0	2	170
EITP25	7.5	A	V	4	4	X	E	Memory Technology for Machine Learning		KS KE U W T																26	0	4	2	168
FRTN50	7.5	A	V	5	4	X	E	Optimization for Learning		KS KE U W T	28	28	0	10	130
FRTN35	7.5	A	V	4	4	X	E	System Identification	X The course is cancelled in the academic year 2020/21 but is planned to be given in 2021/22.	KS KE U W T	Course on hold Course on hold: The course is not given this academic year, but is planned to be given next academic year.
FRTN15	7.5	A	V	4	4	X	E	Predictive Control	X The course is cancelled in the academic year 2020/21 but is planned to be given in 2021/22.	KS KE U W T	Course on hold Course on hold: The course is not given this academic year, but is planned to be given next academic year.

FMSF10 Stationary Stochastic Processes: The course is to be studied together with MASC04

EDAP01 Artificial Intelligence: Replaces EDAF70

FRTN35 System Identification: The course is cancelled in the academic year 2020/21 but is planned to be given in 2021/22.

FRTN15 Predictive Control: The course is cancelled in the academic year 2020/21 but is planned to be given in 2021/22.

Specialisation mt - Biomedical Engineering

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	Mand./ Elect. The course is O = Mandatory, A = Elective mandatory, V = Elective, or E = Externally elective in the programme and spec.	Year Study year the course belongs to according to normal study plan.	From year Students are permitted to read the course from this year of study.	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Footnote	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	sp1					sp2					sp3					sp4
											F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
FAFN25	7.5	A	V	4	4	X	E	Atomic and Molecular Spectroscopy		KS KE U W T	36	4	15	0	145
BMEN05	7.5	A	V	4	4	X	E	Biomechanics		KS KE U W T	32	8	0	10	110
EITF75	6	G2	V	4	4	X	E1	Systems and Signals		KS KE U W T	28	28	8	0	96
EEMN21	7.5	A	V	4	4	X	E1	Introduction to Microfluidics and Lab-on-a-chip Systems		KS KE U W T	20	4	12	16	148
BMEF10	7.5	G2	V	4	4	-	S	Transducer Technology		KS KE U W T	42	0	12	0	146
BMEN10	7.5	A	V	4	4	X	E	Tissue Biomechanics		KS KE U W T						24	0	20	0	100
EEMN10	7.5	A	V	4	4	X	E1	Computerised Measurement Systems		KS KE U W T						0	28	12	60	85
EEMN05	7.5	A	V	4	4	X	E1	EMC, Noise and Noise Reduction		KS KE U W T						14	14	12	60	85
EEMF05	7.5	G2	V	4	4	X	E1	Biomedical Measurements	X Reexam date to be set by agreement.	KS KE U W T						42	0	28	0	130
FAFN35	7.5	A	V	4	4	X	E	Medical Optics		KS KE U W T						24	15	8	40	110
BMEF20	7.5	G2	V	4	4	-	E	Neuroengineering		KS KE U T											28	0	12	2	158
EEMN15	7.5	A	V	4	4	X	E1	Ultrasound Physics and Technology	X Re-examination set by agreement.	KS KE U W T											28	14	28	0	66
EEMN26	7.5	A	V	4	4	X	E1	Lab-on-a-chip in Biomedical Applications		KS KE U W T																28	0	8	0	170
BMEN01	7.5	A	V	4	4	X	E1	Biomedical Signal Processing		KS KE U W T																14	14	0	7	165

EEMF05 Biomedical Measurements: Reexam date to be set by agreement.

EEMN15 Ultrasound Physics and Technology: Re-examination set by agreement.

Specialisation nf - Nanophysics

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	Mand./ Elect. The course is O = Mandatory, A = Elective mandatory, V = Elective, or E = Externally elective in the programme and spec.	Year Study year the course belongs to according to normal study plan.	From year Students are permitted to read the course from this year of study.	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Footnote	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	sp1					sp2					sp3					sp4
											F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
FFFN30	7.5	A	V	4	4	X	E1	Semiconductor Physics		KS KE U W T	34	14	16	0	136
EEMN21	7.5	A	V	4	4	X	E1	Introduction to Microfluidics and Lab-on-a-chip Systems		KS KE U W T	20	4	12	16	148
FMFN01	7.5	A	V	4	4	X	E1	Quantum Mechanics, Advanced Course 1		KS KE U W T	20	20	0	10	150
FFFF10	7.5	G2	V	4	4	X	E	Processing and Device Technology		KS KE U W T	26	12	20	0	140
FFFN01	7.5	A	V	4	4	-	E	Advanced Processing of Nanostructures		KS KE U W T	6	2	12	30	60	0	0	0	30	60
FFFN35	7.5	A	V	4	4	X	E	The Physics of Low-dimensional Structures and Quantum Devices		KS KE U W T						30	12	16	10	140
EITP01	7.5	A	V	4	4	X	E1	High Speed Devices		KS KE U W T						32	10	8	0	150
EITP05	7.5	A	V	4	4	X	E1	Nanoelectronics		KS KE U W T											26	0	4	3	167
FFFN25	7.5	A	V	4	4	X	E	Optoelectronics and Optical Communication		KS KE U W T											28	14	12	0	145
FFFN01	7.5	A	V	4	4	-	E	Advanced Processing of Nanostructures		KS KE U W T											6	2	12	30	60	0	0	0	30	60
FFFN20	15	A	V	4	4	X	E	Experimental Biophysics		KS KE U W T											14	16	0	0	100	0	10	20	20	200
EXTP90	7.5	A	V	4	4	X	E	Solid State Theory		KS KE U W T																28	22	0	0	150
EEMN01	7.5	A	V	4	4	X	E1	Micro Sensors	X Re-examination set by agreement	KS KE U W T																14	0	28	60	108
EXTP95	7.5	A	V	4	4	X	E1	The Physics of Surfaces	X The course is given by the Faculty of Science and does not follow the study period structure.	KS KE U W T																21	0	0	16	174

EEMN01 Micro Sensors: Re-examination set by agreement

EXTP95 The Physics of Surfaces: The course is given by the Faculty of Science and does not follow the study period structure.

Specialisation pv - Software

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	Mand./ Elect. The course is O = Mandatory, A = Elective mandatory, V = Elective, or E = Externally elective in the programme and spec.	Year Study year the course belongs to according to normal study plan.	From year Students are permitted to read the course from this year of study.	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Footnote	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	sp1					sp2					sp3					sp4
											F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
EDAP10	7.5	A	V	4	4	-	S	Concurrent Programming	X Replaces EDAF55	KS KE U W T	28	0	12	0	160
EDAN65	7.5	A	V	4	4	X	E1	Compilers		KS KE U W T	28	0	12	0	160
EDAF60	4.5	G2	V	4	4	-	S	Object-oriented Modelling and Design		KS KE U W T	14	10	0	2	94
ETSN05	7.5	A	V	4	4	-	S	Software Development for Large Systems		KS KE U W T	10	8	4	10	168
EDAN20	7.5	A	V	4	4	X	E	Language Technology		KS KE U W T	20	0	14	0	160
EDAN01	7.5	A	V	4	4	X	E1	Constraint Programming		KS KE U W T						20	0	12	0	160
EDAP15	7.5	A	V	4	4	X	E	Program Analysis	X The course is offered every other academic year and will be given in 2020/21, 2022/23.	KS KE U W T						28	0	12	0	160
ETSN20	7.5	A	V	4	4	X	E	Software Testing		KS KE U W T						16	3	8	1	170
EDAN95	7.5	A	V	4	4	X	E	Applied Machine Learning		KS KE U W T						28	0	14	0	156
ETSN15	7.5	A	V	4	4	-	S	Requirements Engineering		KS KE U W T											16	10	8	14	150
FMAF35	6	G2	V	4	4	X	E1	Linear and Combinatorial Optimization		KS KE U W T											26	0	4	1	130
EDAF75	7.5	G2	V	4	4	X	S	Database Technology		KS KE U W T											24	2	8	0	112	0	0	0	0	50
EDAF05	5	G2	V	4	4	X	S	Algorithms, Data Structures and Complexity		KS KE U W T																20	0	12	0	100
EDAN40	7.5	A	V	4	4	X	E	Functional Programming		KS KE U W T																28	6	0	0	166
EDAN75	7.5	A	V	5	4	X	S	Optimising Compilers	X The course is offered every other academic year and will be given in 2020/21, 2022/23.	KS KE U W T	28	12	4	0	140
EDAN26	7.5	A	V	4	4	-	S	Multicore Programming	X The course is offered every other academic year and will next be offered in 2021/22.	KS KE U W T	Course on hold Course on hold: The course is not given this academic year, but is planned to be given next academic year.
EDAP05	7.5	A	V	4	4	X	E	Concepts of Programming Languages	X The course is offered every other academic year and will next be offered in 2021/22.	KS KE U W T	Course on hold Course on hold: The course is not given this academic year, but is planned to be given next academic year.

EDAP10 Concurrent Programming: Replaces EDAF55

EDAP15 Program Analysis: The course is offered every other academic year and will be given in 2020/21, 2022/23.

EDAN75 Optimising Compilers: The course is offered every other academic year and will be given in 2020/21, 2022/23.

EDAN26 Multicore Programming: The course is offered every other academic year and will next be offered in 2021/22.

EDAP05 Concepts of Programming Languages: The course is offered every other academic year and will next be offered in 2021/22.

Specialisation r - Control Systems

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	Mand./ Elect. The course is O = Mandatory, A = Elective mandatory, V = Elective, or E = Externally elective in the programme and spec.	Year Study year the course belongs to according to normal study plan.	From year Students are permitted to read the course from this year of study.	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Footnote	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	sp1					sp2					sp3					sp4
											F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
FRTN55	7.5	A	V	4	4	X	E	Automatic Control, Advanced Course	X Replaces FRTN10 Multivariable Control	KS KE U W T	30	28	12	0	130
BMEF10	7.5	G2	V	4	4	-	S	Transducer Technology		KS KE U W T	42	0	12	0	146
FMSF10	7.5	G2	V	4	4	X	E	Stationary Stochastic Processes	X The course is to be studied together with MASC04	KS KE U W T	22	16	6	0	145
FMAN70	6	A	V	4	4	X	E1	Matrix Theory		KS KE U W T	18	10	0	1	56	12	4	0	1	58
FMSN45	7.5	A	V	4	4	X	E	Mathematical Statistics, Time Series Analysis	X The course is to be studied together with MASM17.	KS KE U W T						24	12	12	5	120
FRTN05	7.5	A	V	4	4	X	E	Non-Linear Control and Servo Systems		KS KE U W T						28	28	12	0	130
FMAN60	6	A	V	4	4	X	E1	Optimization		KS KE U W T						32	14	4	1	109
FRTN01	10	A	V	4	4	X	E	Real-Time Systems		KS KE U W T											34	22	12	0	132	0	0	0	12	54
FMAN45	7.5	A	V	4	4	-	E1	Machine Learning		KS KE U W T																28	0	0	2	170
FRTN30	7.5	A	V	4	4	X	E	Network Dynamics		KS KE U W T																28	28	16	0	130
ETIF10	7.5	G2	V	4	4	X	E1	Signal Processing - Design and Implementation		KS KE U W T																22	22	8	0	148
FRTN50	7.5	A	V	5	4	X	E	Optimization for Learning		KS KE U W T	28	28	0	10	130
FRTN35	7.5	A	V	4	4	X	E	System Identification	X The course is cancelled in the academic year 2020/21 but is planned to be given in 2021/22.	KS KE U W T	Course on hold Course on hold: The course is not given this academic year, but is planned to be given next academic year.
FRTN15	7.5	A	V	4	4	X	E	Predictive Control	X The course is cancelled in the academic year 2020/21 but is planned to be given in 2021/22.	KS KE U W T	Course on hold Course on hold: The course is not given this academic year, but is planned to be given next academic year.

FRTN55 Automatic Control, Advanced Course: Replaces FRTN10 Multivariable Control

FMSF10 Stationary Stochastic Processes: The course is to be studied together with MASC04

FMSN45 Mathematical Statistics, Time Series Analysis: The course is to be studied together with MASM17.

FRTN35 System Identification: The course is cancelled in the academic year 2020/21 but is planned to be given in 2021/22.

FRTN15 Predictive Control: The course is cancelled in the academic year 2020/21 but is planned to be given in 2021/22.

Specialisation ss - Signals and Sensors

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	Mand./ Elect. The course is O = Mandatory, A = Elective mandatory, V = Elective, or E = Externally elective in the programme and spec.	Year Study year the course belongs to according to normal study plan.	From year Students are permitted to read the course from this year of study.	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Footnote	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	sp1					sp2					sp3					sp4
											F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
EITF75	6	G2	V	4	4	X	E1	Systems and Signals		KS KE U W T	28	28	8	0	96
BMEF10	7.5	G2	V	4	4	-	S	Transducer Technology		KS KE U W T	42	0	12	0	146
FMSF10	7.5	G2	V	4	4	X	E	Stationary Stochastic Processes	X The course is to be studied together with MASC04	KS KE U W T	22	16	6	0	145
EEMN10	7.5	A	V	4	4	X	E1	Computerised Measurement Systems		KS KE U W T						0	28	12	60	85
EEMN05	7.5	A	V	4	4	X	E1	EMC, Noise and Noise Reduction		KS KE U W T						14	14	12	60	85
FMSN45	7.5	A	V	4	4	X	E	Mathematical Statistics, Time Series Analysis	X The course is to be studied together with MASM17.	KS KE U W T						24	12	12	5	120
BMEN15	7.5	A	V	4	4	X	E	Signal Separation - Independent Components		KS KE U W T						14	28	8	0	150
EEMN15	7.5	A	V	4	4	X	E1	Ultrasound Physics and Technology	X Re-examination set by agreement.	KS KE U W T											28	14	28	0	66
BMEN01	7.5	A	V	4	4	X	E1	Biomedical Signal Processing		KS KE U W T																14	14	0	7	165
EEMN01	7.5	A	V	4	4	X	E1	Micro Sensors	X Re-examination set by agreement	KS KE U W T																14	0	28	60	108
ETIF10	7.5	G2	V	4	4	X	E1	Signal Processing - Design and Implementation		KS KE U W T																22	22	8	0	148
EITN60	7.5	A	V	5	4	X	E	Optimum and Adaptive Signal Processing		KS KE U W T	16	28	8	0	148
FMAN80	7.5	A	V	5	4	X	E1	Functional Analysis and Harmonic Analysis		KS KE U W T	20	10	0	0	108	8	4	0	0	50
FMSN35	7.5	A	V	4	4	X	E	Stationary and Non-stationary Spectral Analysis	X The course is offered every other academic year and will next be offered in 2021/22.	KS KE U W T	Course on hold Course on hold: The course is not given this academic year, but is planned to be given next academic year.

FMSF10 Stationary Stochastic Processes: The course is to be studied together with MASC04

FMSN45 Mathematical Statistics, Time Series Analysis: The course is to be studied together with MASM17.

EEMN15 Ultrasound Physics and Technology: Re-examination set by agreement.

EEMN01 Micro Sensors: Re-examination set by agreement

FMSN35 Stationary and Non-stationary Spectral Analysis: The course is offered every other academic year and will next be offered in 2021/22.

Specialisation tf - Theoretical Physics

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	Mand./ Elect. The course is O = Mandatory, A = Elective mandatory, V = Elective, or E = Externally elective in the programme and spec.	Year Study year the course belongs to according to normal study plan.	From year Students are permitted to read the course from this year of study.	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Footnote	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	sp1					sp2					sp3					sp4
											F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
FMFN01	7.5	A	V	4	4	X	E1	Quantum Mechanics, Advanced Course 1		KS KE U W T	20	20	0	10	150
FMAN70	6	A	V	4	4	X	E1	Matrix Theory		KS KE U W T	18	10	0	1	56	12	4	0	1	58
EXTQ40	7.5	A	V	4	4	-	E1	Introduction to Artificial Neural Networks and Deep Learning		KS KE U W T						34	10	30	0	126
FMFN25	7.5	A	V	4	4	X	E	Statistical Mechanics		KS KE U W T						32	28	4	0	136
FAFN05	7.5	A	V	4	4	X	E	Light - Matter Interaction		KS KE U W T											26	12	10	1	160
EITN90	7.5	A	V	4	4	X	E	Radar and Remote Sensing		KS KE U W T											28	14	6	5	147
EXTQ01	7.5	A	V	4	4	X	E	Theoretical Biophysics	X The course is given by the Faculty of Science and does not follow the study period structure.	KS KE U W T											40	0	0	10	150
EITN80	7.5	A	V	4	4	X	E1	Electrodynamics		KS KE U W T																28	14	4	0	154
EXTP90	7.5	A	V	4	4	X	E	Solid State Theory		KS KE U W T																28	22	0	0	150
FMFN10	7.5	A	V	4	4	X	E	Quantum Mechanics, Advanced Course 2		KS KE U W T																28	14	0	0	150
FMAN80	7.5	A	V	5	4	X	E1	Functional Analysis and Harmonic Analysis		KS KE U W T	20	10	0	0	108	8	4	0	0	50
FMFN15	7.5	A	V	4	4	X	E1	Theory of Nuclear Structure	X The course is offered every other academic year and will next be offered in 2021/22.	KS KE U W T	Course on hold Course on hold: The course is not given this academic year, but is planned to be given next academic year.
FMFN05	7.5	A	V	4	4	X	E1	Chaos	X The course is offered every other academic year and will next be offered in 2022/23.	KS KE U W T	Course on hold Course on hold: The course is not given this academic year, but is planned to be given next academic year.

EXTQ01 Theoretical Biophysics: The course is given by the Faculty of Science and does not follow the study period structure.

FMFN15 Theory of Nuclear Structure: The course is offered every other academic year and will next be offered in 2021/22.

FMFN05 Chaos: The course is offered every other academic year and will next be offered in 2022/23.

Elective Courses - F

Course Code Link to complete information about the course; study periods, programmes etc.	Credits	Cycle G1: Basic level G2: Upper basic level A: Advanced level	Year Study year the course belongs to according to normal study plan.	From year Students are permitted to read the course from this year of study.	S.Ex. stud. The course is suitable for incoming exchange students.	Language Language of the course: E: The course is given in English E1: The course is given in English upon request E2: The course may be given in English S: The course is given in Swedish	Course Name	Footnote	Links KS: Course syllabus in Swedish KE: Course syllabus in English U: Archive with course evaluations W: Course Web Page T: Examination schedule	sp1					sp2					sp3					sp4
										F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)	F Lectures h (45-minute sessions)	O Exercises h (45-minute sessions)	L Laboratory exercises h (45-minute sessions)	H Time with supervisor for projects h (45-minute sessions)	S Time for self studies h (45-minute sessions)
FMAA60	7.5	G1	1	1	-	S	Introduction to Real Analysis		KS KE U W T	26	0	0	0	174
FMAB75	7.5	G1	1	1	X	E1	Discrete Mathematics		KS KE U W T						54	0	0	2	144
FMAB75																									54	0	0	2	144
EDAA01	7.5	G1	2	2	-	S	Programming - Second Course		KS KE U W T	14	0	6	0	72	14	0	8	0	86
EDAA01																				28	0	14	0	158
FRTF15	3	G2	2	2	-	S	Control Theory		KS KE U W T											12	12	0	12	44
FMFF30	4.5	G2	2	2	-	S	Theory of Relativity		KS KE U W T											21	21	0	0	78
FAFN25	7.5	A	4	4	X	E	Atomic and Molecular Spectroscopy		KS KE U W T	36	4	15	0	145
FMNN25	7.5	A	4	4	X	E1	Advanced Course in Numerical Algorithms with Python/SciPy		KS KE U W T	28	0	0	3	169
FHLN05	7.5	A	4	4	X	E	Computational Inelasticity		KS KE U W T	38	28	4	0	130
FMAN20	7.5	A	4	4	X	E1	Image Analysis		KS KE U W T	32	0	0	2	166
BMEN05	7.5	A	4	4	X	E	Biomechanics		KS KE U W T	32	8	0	10	110
EDAF80	7.5	G2	4	4	X	E	Computer Graphics		KS KE U W T	26	0	10	0	160
ETIN20	7.5	A	4	4	X	E	Digital IC-design		KS KE U W T	24	12	12	0	150
EITG05	7.5	G2	4	4	X	E	Digital Communications		KS KE U W T	24	28	4	0	144
EITF75	6	G2	4	4	X	E1	Systems and Signals		KS KE U W T	28	28	8	0	96
EIEN41	7.5	A	4	4	X	E1	Electric and Electric Hybrid Vehicle Technology		KS KE U W T	28	6	0	24	142
EIEN15	7.5	A	4	4	X	E1	Electric Power Systems		KS KE U W T	16	22	8	7	110
MVKP01	7.5	A	4	4	-	S	District Heating and Cooling		KS KE U W T	15	20	9	4	147
EDAP10	7.5	A	4	4	-	S	Concurrent Programming	X Replaces EDAF55	KS KE U W T	28	0	12	0	160
FFFN30	7.5	A	4	4	X	E1	Semiconductor Physics		KS KE U W T	34	14	16	0	136
IYT000	15	G2	4	3	-	S	Engineering Training Course		KS KE U W	0	0	0	0	400
EDAP20	7.5	A	4	4	X	E	Intelligent Autonomous Systems		KS KE U W T	28	0	14	0	156
MAMN25	7.5	A	4	4	-	S	Interaction Design		KS KE U W T	30	14	0	14	142
EXTA40	6	G1	4	4	-	S	Introduction to Microeconomic Theory		KS KE U W T	38	14	0	0	100
EEMN21	7.5	A	4	4	X	E1	Introduction to Microfluidics and Lab-on-a-chip Systems		KS KE U W T	20	4	12	16	148
EITF50	7.5	G2	4	4	X	E	An Introduction to Wireless Systems		KS KE U W T	18	18	12	0	152
FKFN20	7.5	A	4	4	X	E	Nuclear Physics, Advanced Course		KS KE U W T	40	6	20	4	130
EDAN65	7.5	A	4	4	X	E1	Compilers		KS KE U W T	28	0	12	0	160
FMEN21	7.5	A	4	4	X	E	Continuum Mechanics		KS KE U W T	42	14	0	2	142
FMFN01	7.5	A	4	4	X	E1	Quantum Mechanics, Advanced Course 1		KS KE U W T	20	20	0	10	150
FMSF15	7.5	G2	4	4	X	E	Markov Processes	X The course is to be studied together with MASC03.	KS KE U W T	26	16	6	0	140
ETIN70	7.5	A	4	4	X	E1	Modern Electronics		KS KE U W T	28	14	8	0	150
FMNN01	7.5	A	4	4	X	E	Numerical Linear Algebra		KS KE U W T	36	0	0	6	160
EDAF60	4.5	G2	4	4	-	S	Object-oriented Modelling and Design		KS KE U W T	14	10	0	2	94
FAFF01	7.5	G2	4	4	X	E	Optics and Optical Design		KS KE U W T	26	12	15	0	150
FFFF10	7.5	G2	4	4	X	E	Processing and Device Technology		KS KE U W T	26	12	20	0	140
EXTF90	7.5	G2	4	4	X	E	Photon and Neutron Production for Science	X The course is given by the Faculty of Science and does not follow the study period structure.	KS KE U W T	24	12	9	6	150
ETSN05	7.5	A	4	4	-	S	Software Development for Large Systems		KS KE U W T	10	8	4	10	168
FMEN35	7.5	A	4	4	-	E1	Project - Engineering Mechanics		KS KE U W T	0	0	0	20	180
EDAN70	7.5	A	4	4	X	E1	Project in Computer Science	X The course is given once per study period and is open for zero or more project areas each course instance. The prerequisites depend on the project area.	KS KE U W T	2	4	0	12	182
FHLN35	7.5	A	4	4	X	E1	Project in Solid Mechanics		KS KE U W T	0	0	0	20	180
FRTN55	7.5	A	4	4	X	E	Automatic Control, Advanced Course	X Replaces FRTN10 Multivariable Control	KS KE U W T	30	28	12	0	130
BMEF10	7.5	G2	4	4	-	S	Transducer Technology		KS KE U W T	42	0	12	0	146
AEBF25	7.5	G2	4	4	X	E	Solar Heating Technology, Basic Course		KS KE U W T	18	12	14	1	155
EDAN20	7.5	A	4	4	X	E	Language Technology		KS KE U W T	20	0	14	0	160
FMSF10	7.5	G2	4	4	X	E	Stationary Stochastic Processes	X The course is to be studied together with MASC04	KS KE U W T	22	16	6	0	145
FRTF20	7.5	G2	4	4	X	E	Applied Robotics		KS KE U W T	28	22	8	20	100
MAMN20	7.5	A	4	4	X	E1	Aerosol Technology Project		KS KE U W T	0	0	0	15	85	0	0	0	15	85
FFFN01	7.5	A	4	4	-	E	Advanced Processing of Nanostructures		KS KE U W T	6	2	12	30	60	0	0	0	30	60
EITF65	9	G2	4	4	-	S	Design of Digital Circuits - A Systems Approach		KS KE U W T	28	28	12	0	71	10	14	12	0	63
FMIN25	7.5	A	4	4	-	S	Energy Systems Analysis: Energy, Environment and Natural Resources		KS KE U W T	18	6	0	0	76	18	6	0	0	76
FMAN70	6	A	4	4	X	E1	Matrix Theory		KS KE U W T	18	10	0	1	56	12	4	0	1	58
FMIN30	7.5	A	4	4	-	S	Environmental Systems Studies: Life Cycle Analysis		KS KE U W T	12	6	0	1	81	10	6	0	1	83
FMAN15	7.5	A	4	4	X	E	Nonlinear Dynamical Systems		KS KE U W T	16	6	0	0	78	14	8	0	0	78
MVKP05	7.5	A	4	4	X	E1	Project - Formula Student		KS KE U W T	0	0	0	25	75	0	0	0	25	75
TNSF05	7.5	G2	4	4	-	S	Rehabilitation Engineering		KS KE U W T	16	0	6	2	96	0	4	0	12	64
EIEN45	10	A	4	4	X	E1	Applied Mechatronics		KS KE U W T	22	0	12	8	90	14	4	12	14	90
MAMF55	7.5	G2	4	4	X	E1	Aerosol Technology		KS KE U W T						38	12	14	0	125
EDAG05	7.5	G2	4	4	-	E1	Agile Software Development - Project		KS KE U W T						16	12	48	0	124
VTAN01	7.5	A	4	4	X	E	Acoustics		KS KE U W T						28	28	12	0	132
ETIN25	7.5	A	4	4	X	E	Analogue IC-design		KS KE U W T						22	14	12	0	152
ETEN10	7.5	A	4	4	X	E	Antenna Technology		KS KE U W T						28	14	6	0	152
BMEN10	7.5	A	4	4	X	E	Tissue Biomechanics		KS KE U W T						24	0	20	0	100
EDAN01	7.5	A	4	4	X	E1	Constraint Programming		KS KE U W T						20	0	12	0	160
EITF20	7.5	G2	4	4	X	E	Computer Architecture		KS KE U W T						20	0	16	0	164
EEMN10	7.5	A	4	4	X	E1	Computerised Measurement Systems		KS KE U W T						0	28	12	60	85
EITF45	7.5	G2	4	4	-	S	Computer Communication		KS KE U W T						18	16	8	2	156
EDAG01	7.5	G2	4	4	X	S	Efficient C	X EDAA25 and EDAF15 can not be included in the degree at the same time as EDAG01.	KS KE U W T						28	12	12	0	148
EEMN05	7.5	A	4	4	X	E1	EMC, Noise and Noise Reduction		KS KE U W T						14	14	12	60	85
MVKP10	7.5	A	4	4	X	E1	Energy Engineering		KS KE U T						28	28	0	0	144
EXTN90	7.5	A	4	4	X	E	Experimental Methods and Instrumentation for Synchrotron Radiation Research	X The course is given by the Faculty of Science and does not follow the study period structure.	KS KE U W T						26	6	4	6	150
EXTF45	6	G2	4	4	-	S	Financial Management		KS KE U W T						32	10	6	0	110
FHLN20	7.5	A	4	4	X	E	Finite Element Method for Non-linear Systems		KS KE U W T						28	0	28	0	144
FFFN35	7.5	A	4	4	X	E	The Physics of Low-dimensional Structures and Quantum Devices		KS KE U W T						30	12	16	10	140
ETIN50	7.5	A	4	4	X	E	RF Amplifier Design		KS KE U W T						18	16	16	0	150
EITP01	7.5	A	4	4	X	E1	High Speed Devices		KS KE U W T						32	10	8	0	150
EDAN35	7.5	A	4	4	X	E	High Performance Computer Graphics		KS KE U W T						28	0	12	0	160
EITP10	7.5	A	4	4	X	E	High Performance Fiber Networks		KS KE U T						20	14	0	0	166
IYT000	15	G2	4	3	-	S	Engineering Training Course		KS KE U W						0	0	0	0	400
EXTQ40	7.5	A	4	4	-	E1	Introduction to Artificial Neural Networks and Deep Learning		KS KE U W T						34	10	30	0	126
EXTA65	4.5	G1	4	4	-	S	Cognition		KS KE U W T						20	12	0	0	84
EDAN10	7.5	A	4	4	X	E	Configuration Management		KS KE U W T						28	14	12	2	144
EDIN01	7.5	A	4	4	X	E1	Cryptography		KS KE U W T						36	14	0	2	148
EXTP85	7.5	A	4	4	-	S	Quantitative Human Physiology		KS KE U W T						38	0	18	0	126
FAFN01	7.5	A	4	4	X	E	Lasers		KS KE U W T						26	12	10	0	150
FMSN45	7.5	A	4	4	X	E	Mathematical Statistics, Time Series Analysis	X The course is to be studied together with MASM17.	KS KE U W T						24	12	12	5	120
FMAN30	7.5	A	4	4	X	E1	Medical Image Analysis		KS KE U W T						32	0	0	3	165
EEMF05	7.5	G2	4	4	X	E1	Biomedical Measurements	X Reexam date to be set by agreement.	KS KE U W T						42	0	28	0	130
FAFN35	7.5	A	4	4	X	E	Medical Optics		KS KE U W T						24	15	8	40	110
FMEN11	7.5	A	4	4	X	E	Mechanical Vibrations		KS KE U W T						42	14	0	0	144
FHLN10	7.5	A	4	4	X	E	Modern Experimental Mechanics		KS KE U W T						28	0	28	0	100
FFFN05	7.5	A	4	4	X	E	Nanomaterials - Thermodynamics and Kinetics		KS KE U W T						28	14	0	0	158
FRTN05	7.5	A	4	4	X	E	Non-Linear Control and Servo Systems		KS KE U W T						28	28	12	0	130
FMAN60	6	A	4	4	X	E1	Optimization		KS KE U W T						32	14	4	1	109
EXTF85	7.5	G2	4	4	X	E1	Particle Physics, Cosmology and Accelerators	X The course is given by the Faculty of Science and does not follow the study period structure.	KS KE U W T						27	3	10	0	120
EDAP15	7.5	A	4	4	X	E	Program Analysis	X The course is offered every other academic year and will be given in 2020/21, 2022/23.	KS KE U W T						28	0	12	0	160
ETSN20	7.5	A	4	4	X	E	Software Testing		KS KE U W T						16	3	8	1	170
FMEN35	7.5	A	4	4	-	E1	Project - Engineering Mechanics		KS KE U W T						0	0	0	20	180
EDAN70	7.5	A	4	4	X	E1	Project in Computer Science	X The course is given once per study period and is open for zero or more project areas each course instance. The prerequisites depend on the project area.	KS KE U W T						2	4	0	12	182
FHLN35	7.5	A	4	4	X	E1	Project in Solid Mechanics		KS KE U W T						0	0	0	20	180
FMAN35	3	A	4	4	X	E1	Project in Mathematics		KS KE U W T						0	0	0	10	70
FRTN40	7.5	A	4	4	X	E	Project in Automatic Control		KS KE U W T						0	0	0	40	160
FMAN40	3	A	4	4	X	E1	Project in Applied Mathematics		KS KE U W T						0	0	0	10	70
BMEN15	7.5	A	4	4	X	E	Signal Separation - Independent Components		KS KE U W T						14	28	8	0	150
FMSN20	7.5	A	4	4	X	E	Spatial Statistics with Image Analysis	X The course is to be studied together with MASM25	KS KE U W T						26	0	18	5	150
FMFN25	7.5	A	4	4	X	E	Statistical Mechanics		KS KE U W T						32	28	4	0	136
MMVF15	6	G2	4	4	-	S	Fluid Mechanics		KS KE U W T						22	28	4	0	106
EDAN95	7.5	A	4	4	X	E	Applied Machine Learning		KS KE U W T						28	0	14	0	156
MVKP15	7.5	A	4	4	X	E	Wind Power Technology		KS KE U T						28	28	4	0	140
EXTN95	7.5	A	4	4	X	E	Accelerators and Free Electron Lasers	X The course is given by the Faculty of Science and does not follow the study period structure. The course is offered every other academic year and will be given in 2020/21, 2022/23.	KS KE U W T											24	12	9	6	150
FMAN10	7.5	A	4	4	X	E1	Algebraic Structures		KS KE U W T											28	10	0	0	162
MAMF15	6	G2	4	4	-	S	Work Organization and Management	X Endast en av kurserna MAMF15 och MAMN30 får ingå i examen.	KS KE U W T											30	14	0	14	120
EDAP01	7.5	A	4	4	X	E	Artificial Intelligence	X Replaces EDAF70	KS KE U W T											28	0	0	0	170
EIEN50	7.5	A	4	4	X	E1	Automation		KS KE U W T											42	10	12	8	135
EITA25	7.5	G1	4	4	X	S	Computer Security		KS KE U W T											28	0	12	2	160
FMAN95	7.5	A	4	4	X	E1	Computer Vision		KS KE U W T											32	0	0	2	166
EITF70	6	G2	4	4	-	S	Computer Organization		KS KE U W T											14	8	16	0	122
MVKN20	7.5	A	4	4	-	S	Energy Utilization		KS KE U W T											4	24	0	2	170
FMEN02	7.5	A	4	4	X	E	Multibody Dynamics		KS KE U W T											36	14	0	4	146
IYT000	15	G2	4	3	-	S	Engineering Training Course		KS KE U W											0	0	0	0	400
INNN15	7.5	A	4	4	X	E	Innovation Management		KS KE U W T											14	28	0	0	165
ETIN30	7.5	A	4	4	X	E	Integrated Radio Electronics	X The course is offered every other academic year and will be given in 2020/21, 2022/23.	KS KE U W T											12	0	0	32	150
FKMA01	7.5	G1	4	4	X	E	Materials Engineering, Basic Course		KS KE U W T											56	14	12	0	120
ETSN15	7.5	A	4	4	-	S	Requirements Engineering		KS KE U W T											16	10	8	14	150
FAFN15	7.5	A	4	4	X	E	Crystal Growth and Semiconductor Epitaxy		KS KE U W T											18	8	0	0	170
FBRN05	7.5	A	4	4	X	E1	Laser-Based Diagnostics		KS KE U W T											28	4	8	10	150
FMAF35	6	G2	4	4	X	E1	Linear and Combinatorial Optimization		KS KE U W T											26	0	4	1	130
FAFN05	7.5	A	4	4	X	E	Light - Matter Interaction		KS KE U W T											26	12	10	1	160
FRTN45	4.5	A	4	4	-	S	Mathematical Modelling, Advanced Course		KS KE U W T											4	0	0	6	100
FMAN65	6	A	4	4	-	S	Mathematical Structures		KS KE U W T											28	14	0	0	118
EXTQ45	7.5	A	4	4	-	E	Modern X-ray Physics - Diffraction and Imaging		KS KE U W T											32	16	8	0	144
FMSN50	7.5	A	4	4	X	E	Monte Carlo and Empirical Methods for Stochastic Inference	X The course is to be studied together with MASM11.	KS KE U W T											28	0	12	5	140
EITP05	7.5	A	4	4	X	E1	Nanoelectronics		KS KE U W T											26	0	4	3	167
BMEF20	7.5	G2	4	4	-	E	Neuroengineering		KS KE U T											28	0	12	2	158
FFFN25	7.5	A	4	4	X	E	Optoelectronics and Optical Communication		KS KE U W T											28	14	12	0	145
FMEN35	7.5	A	4	4	-	E1	Project - Engineering Mechanics		KS KE U W T											0	0	0	20	180
EDAN70	7.5	A	4	4	X	E1	Project in Computer Science	X The course is given once per study period and is open for zero or more project areas each course instance. The prerequisites depend on the project area.	KS KE U W T											2	4	0	12	182
FHLN35	7.5	A	4	4	X	E1	Project in Solid Mechanics		KS KE U W T											0	0	0	20	180
BMEN20	7.5	A	4	4	X	E1	Project Course in Signal Processing – from Idea to App		KS KE U W T											8	0	12	8	172
EITN90	7.5	A	4	4	X	E	Radar and Remote Sensing		KS KE U W T											28	14	6	5	147
FMSF05	7.5	G2	4	4	X	E	Probability Theory	X The course is to be studied together with MASC01	KS KE U W T											26	14	0	0	160
FMNN05	7.5	A	4	4	X	E1	Simulation Tools		KS KE U W T											28	0	0	3	169
AEBF30	7.5	G2	4	4	X	E	Photovoltaic Systems, Basic Course		KS KE U W T											25	9	10	1	155
EXTN85	7.5	A	4	4	X	E	Scattering Methods	X The course is given by the Faculty of Science and does not follow the study period structure.	KS KE U W T											17	4	18	0	158
VSMN10	7.5	A	4	4	X	E1	Structural Dynamic Computing		KS KE U W T											20	0	8	2	170
FHLN01	7.5	A	4	4	X	E	Structural Optimization		KS KE U W T											28	26	2	0	100
EXTQ01	7.5	A	4	4	X	E	Theoretical Biophysics	X The course is given by the Faculty of Science and does not follow the study period structure.	KS KE U W T											40	0	0	10	150
FKFN25	7.5	A	4	4	X	E1	Applied Nuclear, Neutron and Reactor Physics		KS KE U W T											14	6	15	10	155
EEMN15	7.5	A	4	4	X	E1	Ultrasound Physics and Technology	X Re-examination set by agreement.	KS KE U W T											28	14	28	0	66
EXTQ35	7.5	A	4	4	X	E	Financial Valuation and Risk Management	X The course is to be studied together with NEKN83, which is given by the Department of Economics. Does not follow the study period structure.	KS KE U W T											40	0	4	0	150
MMVF05	7.5	G2	4	4	X	E	Heat Transfer		KS KE U W T											42	38	0	14	106
EDAF90	7.5	G2	4	4	X	S	Web Programming		KS KE U T											20	0	8	4	168
MAMN20	7.5	A	4	4	X	E1	Aerosol Technology Project		KS KE U W T											0	0	0	15	85	0	0	0	15	85
FFFN01	7.5	A	4	4	-	E	Advanced Processing of Nanostructures		KS KE U W T											6	2	12	30	60	0	0	0	30	60
EXTG15	7.5	G2	4	4	X	E1	Biology, Introductory Course		KS KE U W T											16	8	0	0	65	27	20	0	0	65
FMAN01	7.5	A	4	4	X	E1	Biomathematics		KS KE U W T											14	6	0	1	79	14	6	0	1	79
EDAF50	7.5	G2	4	4	X	S	C++ Programming		KS KE U W T											24	0	8	0	100	0	0	0	0	60
EDAF75	7.5	G2	4	4	X	S	Database Technology		KS KE U W T											24	2	8	0	112	0	0	0	0	50
FMIN20	7.5	A	4	4	-	S	Energy Systems Analysis: Renewable Sources of Energy		KS KE U W T											28	12	0	1	92	14	4	0	1	48
FFFN20	15	A	4	4	X	E	Experimental Biophysics		KS KE U W T											14	16	0	0	100	0	10	20	20	200
FKFN35	7.5	A	4	4	X	E	Methods for Environmental Monitoring		KS KE U W T											10	0	10	2	80	8	0	4	4	80
FMIN05	7.5	A	4	4	X	E	Environmental System Studies: Climate, Science and Politics		KS KE U W T											14	6	0	0	80	16	4	0	0	80
MVKP05	7.5	A	4	4	X	E1	Project - Formula Student		KS KE U W T											0	0	0	25	75	0	0	0	25	75
FRTN01	10	A	4	4	X	E	Real-Time Systems		KS KE U W T											34	22	12	0	132	0	0	0	12	54
EITA05	4.5	G1	4	4	-	S	History of Technology		KS KE U W T											14	0	0	0	40	14	7	0	0	40
FMAN25	7.5	A	4	4	X	E1	Calculus of Variations		KS KE U W T											18	0	0	0	82	16	0	0	0	84
MAMF45	7.5	G2	4	4	-	S	Virtual Reality in Theory and Practice		KS KE U W T											16	16	0	0	68	4	4	0	22	70
EDAF05	5	G2	4	4	X	S	Algorithms, Data Structures and Complexity		KS KE U W T																20	0	12	0	100
FKFF05	5	G2	4	4	X	E	Atmospheric Chemistry and Physics		KS KE U W T																20	12	0	4	100
EIEN35	7.5	A	4	4	X	E1	Automation for Complex Systems		KS KE U W T																42	0	60	20	70
FAFN10	7.5	A	4	4	X	E	Advanced Optics and Lasers		KS KE U W T																26	12	10	0	150
FBRN10	7.5	A	4	4	X	E	Biophotonics		KS KE U T																28	8	12	4	148
FHLN25	7.5	A	4	4	X	E	Fracture Mechanics, Advanced Course		KS KE U W T																28	28	0	0	144
EITN80	7.5	A	4	4	X	E1	Electrodynamics		KS KE U W T																28	14	4	0	154
MVKN15	7.5	A	4	4	-	S	Energy Supply Systems		KS KE U W T																4	24	0	2	170
EXTP90	7.5	A	4	4	X	E	Solid State Theory		KS KE U W T																28	22	0	0	150
FMAN90	7.5	A	4	4	X	E1	Advanced Course in a Selected Area of Mathematics		KS KE U W T																28	0	0	1	171
MIOF20	6	G2	4	4	-	S	Management Organization		KS KE U W T																42	0	14	1	104
FMSF65	7.5	G2	4	4	X	E	Design of Experiments		KS KE U W T																14	14	14	1	150
EDAN40	7.5	A	4	4	X	E	Functional Programming		KS KE U W T																28	6	0	0	166
FBRF01	7.5	G2	4	4	X	E	Fundamental Combustion		KS KE U W T																28	8	4	60	100
MIOF25	6	G2	4	4	-	S	Managerial Economics, Advanced Course		KS KE U W T																36	14	8	1	101
KIIF01	7.5	G2	4	4	X	E1	Industrial Environmental Management		KS KE U W T																28	0	0	32	80
EITN45	7.5	A	4	4	X	E	Information Theory		KS KE U W T																26	14	0	0	160
IYT000	15	G2	4	3	-	S	Engineering Training Course		KS KE U W																0	0	0	0	400
FAFN40	7.5	A	4	4	X	E	Quantum Information	X The course is offered every other academic year and will be given in 2020/21, 2022/23.	KS KE U W T																40	0	4	4	152
FMFN10	7.5	A	4	4	X	E	Quantum Mechanics, Advanced Course 2		KS KE U W T																28	14	0	0	150
EEMN26	7.5	A	4	4	X	E1	Lab-on-a-chip in Biomedical Applications		KS KE U W T																28	0	8	0	170
MAMN30	7.5	A	4	4	-	S	Management, Work Organisation and Project Management	X Endast en av kurserna MAMF15 och MAMN30 får ingå i examen.	KS KE U W T																30	14	0	14	142
FMSN30	7.5	A	4	4	X	E	Linear and Logistic Regression		KS KE U W T																24	0	26	2	120
FMAN45	7.5	A	4	4	-	E1	Machine Learning		KS KE U W T																28	0	0	2	170
BMEN01	7.5	A	4	4	X	E1	Biomedical Signal Processing		KS KE U W T																14	14	0	7	165
EEMN01	7.5	A	4	4	X	E1	Micro Sensors	X Re-examination set by agreement	KS KE U W T																14	0	28	60	108
FMIN50	7.5	A	4	4	X	E	Environmental Issues, Project Course		KS KE U W T																4	12	0	5	179
EITP25	7.5	A	4	4	X	E	Memory Technology for Machine Learning		KS KE U W T																26	0	4	2	168
FRTN30	7.5	A	4	4	X	E	Network Dynamics		KS KE U W T																28	28	16	0	130
MMVN05	7.5	A	4	4	X	E1	Numerical Fluid Dynamics and Heat Transfer		KS KE U W T																28	24	10	4	134
EDAF35	7.5	G2	4	4	X	E1	Operating Systems		KS KE U W T																24	0	8	0	168
EXTF85	7.5	G2	4	4	X	E1	Particle Physics, Cosmology and Accelerators	X The course is given by the Faculty of Science and does not follow the study period structure.	KS KE U W T																27	3	10	0	120
FAFF50	7.5	G2	4	4	-	S	Perspectives on Sustainable Development		KS KE U W T																22	32	0	10	140
VSMN20	7.5	A	4	4	X	E1	Software Development for Technical Applications		KS KE U W T																16	32	0	0	152
FMEN35	7.5	A	4	4	-	E1	Project - Engineering Mechanics		KS KE U W T																0	0	0	20	180
EDAN70	7.5	A	4	4	X	E1	Project in Computer Science	X The course is given once per study period and is open for zero or more project areas each course instance. The prerequisites depend on the project area.	KS KE U W T																2	4	0	12	182
FHLN35	7.5	A	4	4	X	E1	Project in Solid Mechanics		KS KE U W T																0	0	0	20	180
FMAN35	3	A	4	4	X	E1	Project in Mathematics		KS KE U W T																0	0	0	10	70
FRTN70	7.5	A	4	4	X	E	Project in Systems, Control and Learning		KS KE U W T																0	0	0	40	160
FMAN40	3	A	4	4	X	E1	Project in Applied Mathematics		KS KE U W T																0	0	0	10	70
ETIF10	7.5	G2	4	4	X	E1	Signal Processing - Design and Implementation		KS KE U W T																22	22	8	0	148
FMSN55	7.5	A	4	4	X	E	Statistical Modelling of Extreme Values		KS KE U W T																28	14	9	1	120
EXTP95	7.5	A	4	4	X	E1	The Physics of Surfaces	X The course is given by the Faculty of Science and does not follow the study period structure.	KS KE U W T																21	0	0	16	174
MVKN70	7.5	A	5	4	X	E	Advanced Methods within Numerical Fluid Mechanics and Heat Transfer		KS KE U W T	28	24	10	4	134
EXTQ25	7.5	A	5	4	X	E	Financial Economics, Advanced Course	X The course is to be studied together with NEKN81, which is given by the Department of Economics. Does not follow the study period structure.	KS KE U W T	40	0	0	0	155
EITN60	7.5	A	5	4	X	E	Optimum and Adaptive Signal Processing		KS KE U W T	16	28	8	0	148
EDAN75	7.5	A	5	4	X	S	Optimising Compilers	X The course is offered every other academic year and will be given in 2020/21, 2022/23.	KS KE U W T	28	12	4	0	140
FRTN50	7.5	A	5	4	X	E	Optimization for Learning		KS KE U W T	28	28	0	10	130
FMSN25	7.5	A	5	4	X	E	Valuation of Derivative Assets	X The course is to be studied together with MASM24	KS KE U W T	30	26	6	1	130
BMEN25	7.5	A	5	4	X	E1	Project in Biomedical Engineering	X The course starts only after agreement with the department. The course is not linked to any specific study period. The information on hours depends on the course running over a study period. Individual study plans are to be set up and approved.	KS KE U W T	0	0	0	10	190
EITN35	7.5	A	5	4	X	E1	Advanced Course in Electrical and Information Technology	X The course starts only after agreement with the department. The course is not linked to any specific study period. The information on hours depends on the course running over a study period. Individual study plans are to be set up and approved.	KS KE U W T	0	0	0	0	200
FMEN30	7.5	A	5	4	X	E1	Fatigue		KS KE U W T	42	0	0	0	158
MVKN30	7.5	A	5	5	-	S	Advanced Efficient Energy Systems		KS KE U W T	2	9	0	3	88	0	9	0	1	88
FMAN80	7.5	A	5	4	X	E1	Functional Analysis and Harmonic Analysis		KS KE U W T	20	10	0	0	108	8	4	0	0	50
FKMN20	7.5	A	5	4	X	E	Advanced Materials Technology		KS KE U W T						42	14	8	10	70
EXTQ30	7.5	A	5	4	X	E	Economics, Empirical Finance	X The course is to be studied together with NEKN82, which is given by the Department of Economics. Does not follow the study period structure.	KS KE U W T						34	8	0	0	100
INNA01	7.5	G1	5	5	X	E	Entrepreneurship - how to Build a Scalable Start-up		KS KE U W T						20	42	0	0	145
FMSN

LTH Courses

Faculty of Engineering | Lund University

Courses 2020/21 for F Programme

Engineering Physics ◄ 20/21

Study Year 1 (Mandatory Courses)

Study Year 2 (Mandatory Courses)

Study Year 3 (Mandatory Courses)

Study Year 3 (Elective Mandatory Courses)

Specialisation aft - Accelerators - Physics and Technology

Specialisation bem - Computational Mechanics

Specialisation bg - Images and Computer Graphics

Specialisation bm - Biological and Medical Modelling

Specialisation bs - Computation and Simulation

Specialisation es - Energy Systems

Specialisation f - Photonics

Specialisation fm - Financial Modelling

Specialisation hn - High-frequency and Nanoelectronics

Specialisation mai - Machine Intelligence

Specialisation mt - Biomedical Engineering

Specialisation nf - Nanophysics

Specialisation pv - Software

Specialisation r - Control Systems

Specialisation ss - Signals and Sensors

Specialisation tf - Theoretical Physics

Elective Courses - F