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LTH Courses

Faculty of Engineering | Lund University

Courses 2021/22 for Pi Programme

Engineering Mathematics  21/22     

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 Foot­note Links KS: Course syllabus in Swedish
KE: Course syllabus in English
U: Archive with course evaluations
W: Course Web Page
T: Examination schedule
  21/22
sp1
21/22
sp2
21/22
sp3
21/22
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
FMAB55 5 G1 - S Mathematical Communication KS KE U W T 10 8 0 1 17 10 2 0 1 18 4 6 0 4 45
FMAB70 7.5 G1 - S Calculus in One Variable B2 KS KE U W T 50 30 0 0 120
EDAA55 9 G1 - S Programming, First Course KS KE U W T 30 0 22 0 98 22 0 10 0 62
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
FMAB40 4 G1 - S Mathematical Modelling X All the projects must be approved during the current academic year. Thus one may not save results on single projects till a later year. KS KE U W T 6 0 0 3 98
FAFF40 7.5 G2 - S Waves and Optics KS KE U T 40 28 16 0 120

FMAB40 Mathematical Modelling: All the projects must be approved during the current academic year. Thus one may not save results on single projects till a later year.

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 Foot­note Links KS: Course syllabus in Swedish
KE: Course syllabus in English
U: Archive with course evaluations
W: Course Web Page
T: Examination schedule
  21/22
sp1
21/22
sp2
21/22
sp3
21/22
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
FMSF80 9 G2 - S Mathematical Statistics, Basic Course KS KE U W T 18 14 4 0 85 18 14 2 2 85
EDAA01 7.5 G1 - S Programming - Second Course KS KE U W T 14 0 6 0 72 14 0 8 0 86
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
MIOA12 6 G1 - S Managerial Economics, Basic Course KS KE U W T 50 12 5 0 93
FMAN55 7.5 A - S Applied Mathematics KS KE U W T 24 12 2 0 62 22 14 2 0 62
FMAF25 3 G2 - S Mathematical Modelling with Statistical Applications, Project KS KE U W T 18 0 0 3 59
EITG10 6 G2 - E1 Systems, Signals and Discrete Transforms KS KE U W T 28 28 8 0 96

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
  21/22
sp1
21/22
sp2
21/22
sp3
21/22
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)
ETEF01 7 G2 - S Electromagnetic Field Theory KS KE U W T 34 32 0 0 110
FMSF10 7.5 G2 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 X E1 Matrix Theory KS KE U W T 18 10 0 1 56 12 4 0 1 58
FMNN10 8 A X E1 Numerical Methods for Differential Equations KS KE U W T 48 0 0 3 160
FMIF10 6 G2 - S Environmental Systems Studies and Sustainable Development KS KE U T 32 6 0 0 68 2 3 0 2 46
FRTN45 4.5 A - S Mathematical Modelling, Advanced Course KS KE U W T 4 0 0 6 100
FMAN65 6 A - S Mathematical Structures KS KE U W T 28 14 0 0 118
EDAF05 5 G2 X S Algorithms, Data Structures and Complexity KS KE U W T 20 0 12 0 100
FHLF10 7.5 G2 - E1 Finite Element Method and Introduction to Strength of Materials KS KE U W T 32 28 2 0 140

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

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 Foot­note Links KS: Course syllabus in Swedish
KE: Course syllabus in English
U: Archive with course evaluations
W: Course Web Page
T: Examination schedule
  21/22
sp1
21/22
sp2
21/22
sp3
21/22
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)
EXTG11 4 G2 X E1 Biological Modelling KS KE U W T 6 8 0 0 30 14 16 0 0 30
EXTG15 7.5 G2 X E1 Biology, Introductory Course KS KE U W T 16 8 0 0 65 27 20 0 0 65

Specialisation bam - Image Analysis and 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)
EDAF80 7.5 G2 V 4 4 X E Computer Graphics KS KE U W T 26 0 10 0 160
FMAN20 7.5 A V 4 4 X E1 Image Analysis KS KE U W T 32 0 0 2 166
EDAN20 7.5 A V 4 4 X E Language Technology KS KE U W T 20 0 14 0 160
FMNN01 7.5 A V 4 4 X E Numerical Linear Algebra KS KE U W T 36 0 0 6 160
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
FMAN61 7.5 A V 4 4 X E1 Optimization KS KE U W T 32 14 4 2 148
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
EDAP01 7.5 A V 4 4 X E Artificial Intelligence 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
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
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

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

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
MMVN10 7.5 A V 4 4 - S Fluid Mechanics KS KE U W T 26 46 4 8 116
FMEN11 7.5 A V 4 4 X E Mechanical Vibrations KS KE U W T 42 14 0 0 144
FMAN61 7.5 A V 4 4 X E1 Optimization KS KE U W T 32 14 4 2 148
MVKN90 7.5 A V 4 4 X E Turbulence - Theory and Modelling KS KE U W T 28 26 8 4 134
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
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
MMVN05 7.5 A V 4 4 X E 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

Specialisation biek - Biological, Ecological 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)
BMEN05 7.5 A V 4 4 X E Biomechanics KS KE U W T 32 8 0 10 110
FMAN20 7.5 A V 4 4 X E1 Image Analysis KS KE U W T 32 0 0 2 166
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
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
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
BMEN10 7.5 A V 4 4 X E Tissue Biomechanics KS KE U W T 24 0 20 0 100
EXTQ20 7.5 A V 4 4 - E1 Biological Systems KS KE U W T 40 10 20 0 130
EITN65 7.5 A V 4 4 X E1 Measurement and Modeling of the Central Nervous System Function KS KE U W T 24 0 0 6 170
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 be given in 2021/22, 2023/24. KS KE U W T 18 0 0 5 170
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
BMEN01 7.5 A V 4 4 X E1 Biomedical Signal Processing KS KE U W T 14 14 0 7 165
FMSF65 7.5 G2 V 4 4 X E Design of Experiments KS KE U W T 14 14 14 1 150
FMSN30 7.5 A V 4 4 X E Linear and Logistic Regression KS KE U W T 24 0 26 2 120
FMSN55 7.5 A V 4 4 X E Statistical Modelling of Extreme Values KS KE U W T 28 14 9 1 120

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
FMSN35 Stationary and Non-stationary Spectral Analysis: The course is offered every other academic year and will be given in 2021/22, 2023/24.

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
FMAN80 7.5 A V 4 4 X E1 Functional Analysis and Harmonic Analysis KS KE U W T 20 10 0 0 108 8 4 0 0 50
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
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
FMAN61 7.5 A V 4 4 X E1 Optimization KS KE U W T 32 14 4 2 148
FMAF35 6 G2 V 4 4 X E1 Linear and Combinatorial Optimization KS KE U W T 26 0 4 1 130
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
EITN90 7.5 A V 4 4 X E Radar and Remote Sensing KS KE U W T 28 8 12 5 147
FMNN05 7.5 A V 4 4 X E1 Simulation Tools KS KE U W T 28 0 0 3 169
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
VSMN20 7.5 A V 4 4 X E1 Software Development for Technical Applications KS KE U W T 16 32 0 0 152

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

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)
EXTF45 6 G2 O 4 4 - S Financial Management KS KE U W T 32 10 6 0 110
EXTP50 7.5 A V 4 4 - E Advanced Microeconomic Analysis KS KE U W T 32 10 0 0 120
EDAN95 7.5 A V 4 4 - E Applied Machine Learning KS KE U W T 28 0 14 0 156
EXTQ30 7.5 A V 4 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
FMSN60 7.5 A V 4 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
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
FMAN61 7.5 A V 4 4 X E1 Optimization KS KE U W T 32 14 4 2 148
FMAN40 3 A V 4 4 X E1 Project in Applied Mathematics KS KE U W T 0 0 0 10 70
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
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
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
FMSN30 7.5 A V 4 4 X E Linear and Logistic Regression KS KE U W T 24 0 26 2 120
FMAN40 3 A V 4 4 X E1 Project in Applied Mathematics KS KE U W T 0 0 0 10 70
FMSN55 7.5 A V 4 4 X E Statistical Modelling of Extreme Values KS KE U W T 28 14 9 1 120
EXTQ25 7.5 A V 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
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

EXTQ30 Economics, Empirical Finance: The course is to be studied together with NEKN82, which is given by the Department of Economics. Does not follow the study period structure.
FMSN60 Financial Statistics: The course is to be studied together with MASM18
FMSN45 Mathematical Statistics, Time Series Analysis: The course is to be studied together with MASM17.
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.
FMSN50 Monte Carlo and Empirical Methods for Stochastic Inference: The course is to be studied together with MASM11.
EXTQ25 Financial Economics, Advanced Course: The course is to be studied together with NEKN81, 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

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)
FMAN10 7.5 A V 2 2 X E1 Algebraic Structures KS KE U W T 28 10 0 0 162
EDAP10 7.5 A V 4 4 - S Concurrent Programming KS KE U W T 28 0 12 0 160
EDAP20 7.5 A V 4 4 X E Intelligent Autonomous Systems KS KE U W T 24 0 30 0 144
EDAN20 7.5 A V 4 4 X E Language Technology KS KE U W T 20 0 14 0 160
EDAN26 7.5 A V 4 4 - S Multicore Programming X The course is offered every other academic year and will be given in 2021/22, 2023/24. KS KE U W T 24 0 12 0 150
EDAN95 7.5 A V 4 4 - E Applied Machine Learning KS KE U W T 28 0 14 0 156
EDAN01 7.5 A V 4 4 X E1 Constraint Programming KS KE U W T 20 0 12 0 160
EDIN01 7.5 A V 4 4 X E1 Cryptography KS KE U W T 36 14 0 2 148
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
FMAF35 6 G2 V 4 4 X E1 Linear and Combinatorial Optimization KS KE U W T 26 0 4 1 130
FMNN05 7.5 A V 4 4 X E1 Simulation Tools KS KE U W T 28 0 0 3 169
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
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
EDAN40 7.5 A V 4 4 X E Functional Programming KS KE U W T 28 6 0 0 166
EDAP15 7.5 A V 4 4 X E Program Analysis X The course is offered every other academic year and will next be given 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.

EDAN26 Multicore Programming: The course is offered every other academic year and will be given in 2021/22, 2023/24.
EDAG01 Efficient C: EDAA25 and EDAF15 can not be included in the degree at the same time as EDAG01.
EDAP15 Program Analysis: The course is offered every other academic year and will next be given in 2022/23.

Specialisation ssr - Systems, Signals and Control

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 KS KE U W T 30 28 12 0 130
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
EITN60 7.5 A V 4 4 X E Optimum and Adaptive Signal Processing KS KE U W T 16 28 8 0 148
FMAN80 7.5 A V 4 4 X E1 Functional Analysis and Harmonic Analysis KS KE U W T 20 10 0 0 108 8 4 0 0 50
FRTN65 7.5 A V 4 4 X E Modelling and Learning from Data KS KE U W T 16 10 4 0 70 14 10 8 0 68
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
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
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
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
FRTN75 7.5 A V 4 4 X E Learning-Based Control X Replaces FRTN15 Predictive Control. KS KE U W T 28 28 12 0 130
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 be given in 2021/22, 2023/24. KS KE U W T 18 0 0 5 170
EITN45 7.5 A V 4 4 X E Information Theory KS KE U W T 26 14 0 0 160
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

FMSF15 Markov Processes: The course is to be studied together with MASC03.
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
FRTN75 Learning-Based Control: Replaces FRTN15 Predictive Control.
FMSN35 Stationary and Non-stationary Spectral Analysis: The course is offered every other academic year and will be given in 2021/22, 2023/24.

Elective Courses - Pi

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
EXTA40 6 G1 2 2 - S Introduction to Microeconomic Theory KS KE U W T 38 14 0 0 100
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
FMAN71 7.5 A 3 3 X E1 Matrix Theory X Only one of the courses FMAN70 and FMAN71 may be included in a degree. KS KE U W T 18 10 0 1 56 18 6 0 1 90
FMAN50 3 A 3 3 - E International Project Course - Mathematical Modelling X Specific application procedure. The course is given in August. KS KE U W T 0 0 0 10 40
FRTF20 7.5 G2 4 4 X E Applied Robotics KS KE U W T 28 22 8 20 100
EDAN65 7.5 A 4 4 X E1 Compilers KS KE U W T 28 0 12 0 160
EITG05 7.5 G2 4 4 X E Digital Communications KS KE U W T 24 28 4 0 144
IYT000 15 G2 4 3 - S Engineering Training Course KS KE U W 0 0 0 0 400
MTTF01 5 G2 4 4 - S Logistics KS KE U W T 24 8 2 0 86
EDAF60 4.5 G2 4 4 - S Object-oriented Modelling and Design KS KE U W T 14 10 0 2 94
FMEN35 7.5 A 4 4 X 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 - E1 Project in Solid Mechanics KS KE U W T 0 0 0 20 180
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
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
EDAG05 7.5 G2 4 4 - E1 Agile Software Development - Project KS KE U W T 16 12 48 0 124
EXTA65 4.5 G1 4 4 - S Cognition KS KE U W T 20 12 0 0 84
EITF45 7.5 G2 4 4 - S Computer Communication KS KE U W T 18 16 8 2 156
EDAP05 7.5 A 4 4 X E Concepts of Programming Languages X The course is offered every other academic year and will be given in 2021/22, 2023/24. KS KE U W T 28 0 12 0 160
EDAN10 7.5 A 4 4 X E Configuration Management KS KE U W T 28 14 12 2 144
EXTN80 7.5 A 4 4 X E Economic and Financial Decision-making X The course is to be studied together with NEKN22, which is given by the Department of Economics. Does not follow the study period structure. KS KE U W T 30 10 0 0 110
IYT000 15 G2 4 3 - S Engineering Training Course KS KE U W 0 0 0 0 400
INNA01 7.5 G1 4 4 X E Entrepreneurship - how to Build a Scalable Start-up KS KE U W T 20 42 0 0 145
EDAN35 7.5 A 4 4 X E High Performance Computer Graphics KS KE U W T 28 0 12 0 160
FAFN35 7.5 A 4 4 X E Medical Optics KS KE U W T 24 15 8 40 110
FRTF01 5 G2 4 4 X E Physiological Models and Computations KS KE U W T 20 20 0 20 70
FMEN35 7.5 A 4 4 X E1 Project - Engineering Mechanics KS KE U W T 0 0 0 20 180
FRTN40 7.5 A 4 4 X E Project in Automatic Control KS KE U W T 0 0 0 40 160
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
FMAN35 3 A 4 2 X E1 Project in Mathematics KS KE U W T 0 0 0 10 70
FHLN35 7.5 A 4 4 - E1 Project in Solid Mechanics KS KE U W T 0 0 0 20 180
VRSN25 7.5 A 4 4 - S Risk Assessment in the Safety Area KS KE U T 32 20 0 2 146
BMEN15 7.5 A 4 4 X E Signal Separation - Independent Components KS KE U W T 14 28 8 0 150
FMSF60 7.5 G2 4 4 - E1 Statistical Methods for Safety Analysis KS KE U W T 28 14 12 0 120
EITF70 6 G2 4 4 - S Computer Organization KS KE U W T 14 8 16 0 122
EDAP25 7.5 A 4 4 X E Distributed Systems KS KE U T 28 8 8 0 156
IYT000 15 G2 4 3 - S Engineering Training Course KS KE U W 0 0 0 0 400
BMEF20 7.5 G2 4 4 X E Neuroengineering KS KE U T 28 0 12 2 158
ETIA10 7.5 G1 4 4 X E Patent and Intellectual Property Rights KS KE U W T 28 6 3 0 160
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
FMEN35 7.5 A 4 4 X E1 Project - Engineering 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
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 - E1 Project in Solid Mechanics KS KE U W T 0 0 0 20 180
MAMN35 7.5 A 4 4 - S Risk Analysis Methods for Health and Environment KS KE U T 24 12 16 2 146
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
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
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
EITA05 4.5 G1 4 4 - S History of Technology KS KE U W T 14 3 0 0 40 16 4 0 0 40
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
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
ETIN85 7.5 A 4 1 X E Advanced Cryptography KS KE U T 28 14 0 2 156
EITF90 7.5 G2 4 4 - S Electromagnetics and Electronics KS KE U W T 34 28 4 0 134
IYT000 15 G2 4 3 - S Engineering Training Course KS KE U W 0 0 0 0 400
FHLN25 7.5 A 4 4 X E Fracture Mechanics, Advanced Course KS KE U W T 28 28 0 0 144
FMEN25 7.5 A 4 4 X E1 Nano Mechanics and Multiscale Modelling X The course is offered every other academic year and will be given in 2021/22, 2023/24. KS KE U W T 24 0 0 8 168
FRTN30 7.5 A 4 4 X E Network Dynamics KS KE U W T 28 28 16 0 130
EDAF35 7.5 G2 4 4 X E1 Operating Systems KS KE U W T 24 0 8 0 168
FMEN35 7.5 A 4 4 X 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
FMAN35 3 A 4 2 X E1 Project in Mathematics KS KE U W T 0 0 0 10 70
FHLN35 7.5 A 4 4 - E1 Project in Solid Mechanics KS KE U W T 0 0 0 20 180
FRTN70 7.5 A 4 4 X E Project in Systems, Control and Learning KS KE U W T 0 0 0 40 160
EITN95 7.5 A 4 4 X E1 Simulation KS KE U W T 18 0 6 4 172
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
BMEN25 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. 0 0 0 10 190
FMSN65 7.5 A 5 5 X E Quantitative Risk Management Using Copulas X The course replaces FMSN15 Statistical Modelling of Multivariate Extreme Values. The course is offered every other academic year and will be given in 2021/22, 2023/24. KS KE U W T 28 14 9 1 120
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
BMEN25 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. 0 0 0 10 190
EDAN75 7.5 A 5 4 X S Optimising Compilers 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.

FMAN71 Matrix Theory: Only one of the courses FMAN70 and FMAN71 may be included in a degree.
FMAN50 International Project Course - Mathematical Modelling: Specific application procedure. The course is given in August.
EDAN70 Project in Computer Science: 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.
EDAP05 Concepts of Programming Languages: The course is offered every other academic year and will be given in 2021/22, 2023/24.
EXTN80 Economic and Financial Decision-making: The course is to be studied together with NEKN22, which is given by the Department of Economics. Does not follow the study period structure.
FMSF05 Probability Theory: The course is to be studied together with MASC01
FMEN25 Nano Mechanics and Multiscale Modelling: The course is offered every other academic year and will be given in 2021/22, 2023/24.
BMEN25 Project in Biomedical Engineering: 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.
FMSN65 Quantitative Risk Management Using Copulas: The course replaces FMSN15 Statistical Modelling of Multivariate Extreme Values. The course is offered every other academic year and will be given in 2021/22, 2023/24.
EDAN75 Optimising Compilers: The course is offered every other academic year and will next be offered in 2022/23.

Externally Elective Courses - Pi

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)
GEMA20 7.5 G1 4 1 - E English for Engineers KS KE U W T 30 0 0 0 70 20 0 0 0 80
GEMA25 7.5 G1 4 1 - S German for Engineers KS KE U W T 0 40 0 0 60 0 40 0 0 60
GEMA65 7.5 G1 4 1 - S Chinese for Engineers KS KE U W T 0 20 0 0 80 0 20 0 0 80
GEMA20 7.5 G1 4 1 - E English for Engineers KS KE U W T 30 0 0 0 70 20 0 0 0 80
GEMA01 7.5 G1 4 1 - S French for Engineers: Language, Culture and Society, First Course KS KE U W T 0 26 0 0 74 0 26 0 0 74
GEMA70 15 G1 4 1 - S Japanese for Engineers KS KE U W T 0 34 0 0 165 0 32 0 0 165

Bachelor's Projects - Pi

The list contains the bachelor's projects that are included in the Pi programme.

Course Code Credits 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
FRTL01 15 Bachelor Project in Automatic Control KS KE U
BMEL01 15 Bachelor Project in Biomedical Engineering KS KE U
EDAL01 15 Bachelor Project in Computer Science KS KE U W
EXTL02 15 Bachelor Project in Ecology KS KE U
EITL01 15 Bachelor Project in Electrical and Information Technology KS KE U W
FMSL01 15 Bachelor Project in Mathematical Statistics KS KE U W
FMAL01 15 Bachelor Project in Mathematics KS KE U
FMEL01 15 Bachelor Project in Mechanics KS KE U
FMNL01 15 Bachelor Project in Numerical Analysis KS KE U W
PHYL01 15 Bachelor Project in Physics KS KE U
FHLL01 15 Bachelor Project in Solid Mechanics KS KE U
VSML05 15 Bachelor Project in Structural Mechanics KS KE U

Degree Projects - Pi

The list contains the degree project courses that are included in the Pi programme.

Course Code Credits 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
FRTM01 30 Degree Project in Automatic Control KS KE U W
BMEM01 30 Degree Project in Biomedical Engineering KS KE U W
EDAM05 30 Degree Project in Computer Sciences for Engineers KS KE U W
EXTM20 30 Degree Project in Ecology KS KE U
EITM01 30 Degree Project in Electrical and Information Technology KS KE U W
FMSM01 30 Degree Project in Mathematical Statistics for Engineers KS KE U W
FMAM05 30 Degree Project in Mathematics for Engineers KS KE U W
FMEM01 30 Degree Project in Mechanics for Engineers KS KE U W
FMNM01 30 Degree Project in Numerical Analysis KS KE U W
PHYM01 30 Degree Project in Physics KS KE U W
FHLM01 30 Degree Project in Solid Mechanics for Engineers KS KE U W
VSMM05 30 Degree Project in Structural Mechanics KS KE U