lunduniversity.lu.se

LTH Courses

Faculty of Engineering | Lund University

Courses 2010/11 for PI Programme

Engineering Mathematics  10/11 

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
  10/11
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)
FMA420 6 G1 - S Linear Algebra KS KE U W
FMAA05 15 G1 - S Calculus in One Variable KS KE U W
FMA085 4.5 G1 - S Mathematical Communication KS KE U W 8 8 0 14 48
FMA045 4.5 G1 - S Mathematical Modelling KS KE U W
EDA011 7.5 G1 - S Programming, First Course KS KE U W
FMA435 7.5 G1 - S Calculus in Several Variables KS KE U W 10 10 0 0 20
FMEA15 7.5 G1 - S Mechanics - Statics and Dynamics KS KE U W 24 16 0 0 27
FAF220 7.5 G1 - S Physics KS KE U W 40 24 20 0 115

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
  10/11
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)
EXTA40 6 G1 - S Introduction to Microeconomic Theory KS KE U W
FMAF01 7 G2 - S Mathematics - Analytic Functions KS KE U W
EDAA01 7.5 G1 - S Programming - Second Course KS KE U W
FMAF05 7 G2 - S Mathematics - Systems and Transforms KS KE U W
FMS012 9 G2 - S Mathematical Statistics, Basic Course KS KE U W
FRT010 7.5 G2 - E2 Automatic Control, Basic Course KS KE U W
FMA021 7.5 A - S Applied Mathematics KS KE U W 24 12 6 0 60
FMS045 6 G2 - S Stationary Stochastic Processes KS KE U W 28 28 4 0 80

Study Year 2 (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
  10/11
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)
FRT130 3 G2 - E2 Control Theory KS KE U W
FMA023 3 A - E1 Applied Mathematics, Project X Kursen fortsätter med ett redovisningstillfälle hösten 2010. KS KE U W 0 0 0 10 70
FMSN05 3 A X E International Project Course-Mathematical Modelling X Begränsat deltagarantal. Spec. ansökningsförfarande. Kursen går inte i läsperioden utan i augusti. KS KE U W 0 0 0 10 40
FMS047 3 A - S Stationary Stochastic Processes, Project Work KS KE U W 0 0 4 6 70

FMA023 Applied Mathematics, Project: Kursen fortsätter med ett redovisningstillfälle hösten 2010.
FMSN05 International Project Course-Mathematical Modelling: Begränsat deltagarantal. Spec. ansökningsförfarande. Kursen går inte i läsperioden utan i augusti.

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
  10/11
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)
ETEF01 7 G2 - S Electromagnetic Field Theory KS KE U W
EITF15 6 G2 - S Signal Processing - Theory and Applications KS KE U W
FMA120 6 A X E1 Matrix Theory KS KE U W
FMNN10 8 A X E1 Numerical Methods for Differential Equations KS KE U W
FMIF10 6 G2 - S Environmental Systems Studies and Sustainable Development KS KE U W
FMA111 6 A - S Mathematical Structures KS KE U W
FMNN15 4 A X E1 Multigrid Methods for Differential Equations KS KE U
TEK290 7.5 G2 X E1 Biology, Introductory Course KS KE U W 28 8 6 0 50
EDAF15 5 G2 - S Algorithm Implementation KS KE U W 24 12 12 0 85
FRT095 4.5 A - S Mathematical Modelling, Advanced Course KS KE U W 4 0 0 6 100

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
  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)
FMA051 6 A V 3 3 X E1 Optimization KS KE U W
FHL110 7.5 A V 4 4 X E Biomechanics KS KE U W
FMA170 6 A V 4 3 X E2 Image Analysis KS KE U W
FMS180 6 G2 V 4 3 - S Markov Processes KS KE U W
TEK267 7.5 A V 4 3 X E2 Theoretical Biophysics KS KE U W
FMA140 6 A V 4 3 X E2 Non-Linear Dynamical Systems KS KE U W
EEM040 6 G2 V 4 3 - S Biomedical Measurements X Omtentamen enligt överenskommelse. KS KE U W
FMS051 7.5 A V 4 3 X E2 Mathematical Statistics, Time Series Analysis KS KE U W
FAFF20 7.5 G2 V 4 4 X E Multi-spectral Imaging KS KE U W
TEK171 7.5 A V 4 3 - S Quantitative Human Physiology KS KE U W
FMSN10 7.5 A V 4 3 X E1 Survival Analysis KS KE U W
TEK275 7.5 A V 4 3 - E1 Theoretical Evolutionary Biology KS KE U W
TEK292 7.5 A V 4 3 - S Biological Systems KS KE U W
FMS091 7.5 A V 4 3 X E2 Monte Carlo and Empirical Methods for Stochastic Inference KS KE U W
FMAN01 7.5 A V 4 3 X E2 Biomathematics KS KE U W 14 0 2 0 86
ETI160 6 G2 V 4 3 X E2 Biomedical Signal Processing KS KE U W 14 14 0 24 80
FMS072 7.5 G2 V 4 3 X E2 Design of Experiments KS KE U W 14 14 0 14 150
KFK090 7.5 G2 V 4 3 - S Molecular Interactions and Dynamics KS KE U W 28 28 20 0 60

EEM040 Biomedical Measurements: Omtentamen enligt överenskommelse.

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
  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)
FMA051 6 A V 3 3 X E1 Optimization KS KE U W
VSMN25 7.5 A O 4 3 X E2 The Finite Element Method - Flow Analysis KS KE U W
FHLN05 7.5 A V 4 3 - E2 Computational Inelasticity KS KE U W
FMEN20 8 A V 4 3 X E2 Continuum Mechanics KS KE U W
ETEN05 7.5 A V 4 4 X E2 Electromagnetic Wave Propagation KS KE U W
FMNN05 7.5 A V 4 4 X E1 Simulation Tools KS KE U W
FMA260 7.5 A V 4 3 X E2 Functional Analysis and Harmonic Analysis KS KE U W
FHL066 7.5 A V 4 3 X E2 Finite Element Method for Non-linear Systems KS KE U W
FMN091 7.5 A V 4 4 X E1 Finite Volume Methods X Kursen ges vartannat läsår. KS KE U W
FMEN10 8 A V 4 3 X E2 Mechanical Vibrations KS KE U W
FHL105 4.5 G1 V 4 3 - S Solid Mechanics, Basic Course KS KE U W
VSMN30 7.5 A V 4 3 X E2 The Finite Element Method - Structural Analysis KS KE U W
FMA250 7.5 A V 4 3 X E2 Partial Differential Equations with Distribution Theory KS KE U W
MMV211 7.5 G2 V 4 3 X S Fluid Mechanics KS KE U W
FMS091 7.5 A V 4 3 X E2 Monte Carlo and Empirical Methods for Stochastic Inference KS KE U W
VSMN10 7.5 A V 4 1 X E2 Structural Dynamic Computing KS KE U W
FHLN01 7.5 A V 4 3 X E2 Structural Optimization KS KE U W
KFK090 7.5 G2 V 4 3 - S Molecular Interactions and Dynamics KS KE U W 28 28 20 0 60

FMN091 Finite Volume Methods: Kursen ges vartannat läsår.

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
  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)
FMA051 6 A V 3 3 X E1 Optimization KS KE U W
FMA240 6 G2 V 3 3 X E2 Linear and Combinatorial Optimization KS KE U W
TEK103 7.5 A O 4 3 X E Financial Economics, Advanced Course KS KE U W
EXTF50 7.5 G2 O 4 3 - S Microeconomic Analysis KS KE U W
EXTF50
FMS180 6 G2 V 4 3 - S Markov Processes KS KE U W
FMA140 6 A V 4 3 X E2 Non-Linear Dynamical Systems KS KE U W
TEK110 7.5 A V 4 3 X E Economics, Empirical Finance KS KE U W
TEK090 7.5 A V 4 4 X E1 Economics, Information, Risk and Uncertainty KS KE U W
FMS161 7.5 A V 4 3 X E1 Financial Statistics KS KE U W
FMS051 7.5 A V 4 3 X E2 Mathematical Statistics, Time Series Analysis KS KE U W
FMF170 7.5 G2 V 4 3 X E Complex Economy KS KE U W
TEK180 7.5 A V 4 3 X E Financial Valuation and Risk Management KS KE U W
FMSF05 7.5 G2 V 4 3 - E2 Probability Theory KS KE U W
FMA200 6 A V 4 3 X E2 Calculus of Variations KS KE U W 14 0 0 0 66
FRTN20 7.5 A V 4 3 - E2 Market-driven Systems KS KE U W 28 28 8 0 70
FMS155 7.5 A V 4 3 X E2 Statistical Modelling of Extreme Values KS KE U W 28 14 6 2 100

Specialisation mrk - Environment, Risk and Climate

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
  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)
FMA051 6 A V 3 3 X E1 Optimization KS KE U W
VVRN10 7.5 A V 4 3 X E Rainfall Runoff Modelling KS KE U W
FMS150 7.5 A V 4 3 X E2 Statistical Image Analysis KS KE U W
FMS065 7.5 G2 V 4 3 - E2 Statistical Methods for Safety Analysis KS KE U W
FMA140 6 A V 4 3 X E2 Non-Linear Dynamical Systems KS KE U W
VBR180 15 A V 4 3 - S Risk Analysis Methods KS KE U W
FMS051 7.5 A V 4 3 X E2 Mathematical Statistics, Time Series Analysis KS KE U W
FAFF20 7.5 G2 V 4 4 X E Multi-spectral Imaging KS KE U W
FMSN10 7.5 A V 4 3 X E1 Survival Analysis KS KE U W
TEK292 7.5 A V 4 3 - S Biological Systems KS KE U W
FMS091 7.5 A V 4 3 X E2 Monte Carlo and Empirical Methods for Stochastic Inference KS KE U W
FMS072 7.5 G2 V 4 3 X E2 Design of Experiments KS KE U W 14 14 0 14 150
EXTN15 7.5 A V 4 3 - E2 Remote Sensing, Digital Methods KS KE U W 22 38 0 0 140
FMS155 7.5 A V 4 3 X E2 Statistical Modelling of Extreme Values KS KE U W 28 14 6 2 100

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
  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)
FMA190 6 A V 2 2 X E2 Algebra KS KE U W 14 7 0 0 59
FMA051 6 A V 3 3 X E1 Optimization KS KE U W
FMA240 6 G2 V 3 3 X E2 Linear and Combinatorial Optimization KS KE U W
EDA040 6 G2 O 4 3 X E2 Concurrent Programming KS KE U W
EDAF05 5 G2 O 4 3 - S Algorithms, Data Structures and Complexity KS KE U W 20 0 12 0 100
EDAN05 7.5 A V 4 3 X E Algorithm Theory KS KE U W
FMNN05 7.5 A V 4 4 X E1 Simulation Tools KS KE U W
EDAN10 7.5 A V 4 3 X E2 Configuration Management KS KE U W
EDI051 7.5 G2 V 4 3 X S Cryptography KS KE U W
EDAN40 7.5 A V 4 3 X E2 Functional Programming KS KE U W
EDAN01 7.5 A V 4 3 X E2 Constraint Programming KS KE U W
EDA216 7.5 G2 V 4 3 X S Database Technology KS KE U W
ETS200 7.5 A V 4 3 X E1 Software Testing KS KE U W
EDA031 7.5 G2 V 4 3 X S C++ Programming KS KE U W 0 0 0 0 60
EDA180 7.5 G2 V 4 3 X E2 Compiler Construction KS KE U W 0 0 0 0 60
EDA145 7.5 A V 4 3 X E2 Programming Language Theory KS KE U W 42 14 0 0 144

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
  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)
FMA051 6 A V 3 3 X E1 Optimization KS KE U W
EDA221 7.5 G2 V 4 3 X E2 Computer Graphics KS KE U W
ETT051 7.5 G2 V 4 3 X E2 Digital Communications KS KE U W
FMA170 6 A V 4 3 X E2 Image Analysis KS KE U W
FMS180 6 G2 V 4 3 - S Markov Processes KS KE U W
FRTN10 7.5 A V 4 3 X E1 Multivariable Control KS KE U W
ETT074 6 A V 4 3 X S Optimum Signal Processing KS KE U W
FMS150 7.5 A V 4 3 X E2 Statistical Image Analysis KS KE U W
EIT020 9 G2 V 4 3 - S Design of Digital Circuits – A Systems Approach KS KE U W
FMA260 7.5 A V 4 3 X E2 Functional Analysis and Harmonic Analysis KS KE U W
FMA140 6 A V 4 3 X E2 Non-Linear Dynamical Systems KS KE U W
ETT042 6 A V 4 3 X E2 Adaptive Signal Processing KS KE U W
FMS051 7.5 A V 4 3 X E2 Mathematical Statistics, Time Series Analysis KS KE U W
FMA270 6 A V 4 3 X E2 Computer Vision KS KE U W
FRTN05 7.5 A V 4 3 X E1 Non-Linear Control and Servo Systems KS KE U W
FMA190 6 A V 4 2 X E2 Algebra KS KE U W 14 7 0 0 59
FRT041 7.5 A V 4 3 X E1 System Identification KS KE U W 0 0 14 0 70
EIT080 7.5 G2 V 4 3 X E2 Information Theory KS KE U W 28 28 0 0 56

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
  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)
FMA135 6 G1 1 1 X E2 Geometry KS KE U W
FMA091 6 G1 1 1 - S Discrete Mathematics KS KE U W 36 28 0 0 104
FMF061 4.5 G2 2 2 - S Theory of Relativity KS KE U W
FMA190 6 A 2 2 X E2 Algebra KS KE U W 14 7 0 0 59
FMA125 3 A 3 3 - E1 Matrix Theory, Project KS KE U W
FMA051 6 A 3 3 X E1 Optimization KS KE U W
FMA240 6 G2 3 3 X E2 Linear and Combinatorial Optimization KS KE U W
EDAN05 7.5 A 4 3 X E Algorithm Theory KS KE U W
FHL110 7.5 A 4 4 X E Biomechanics KS KE U W
EDA150 3 G1 4 3 X S C Programming KS KE U W
FHLN05 7.5 A 4 3 - E2 Computational Inelasticity KS KE U W
ETS052 4.5 G2 4 3 X E2 Computer Communication KS KE U W
EDA221 7.5 G2 4 3 X E2 Computer Graphics KS KE U W
FMEN20 8 A 4 3 X E2 Continuum Mechanics KS KE U W
ETT051 7.5 G2 4 3 X E2 Digital Communications KS KE U W
ETI130 6 A 4 3 X E Digital IC-design KS KE U W
ETEN05 7.5 A 4 4 X E2 Electromagnetic Wave Propagation KS KE U W
EDI042 7.5 A 4 4 X S Error Control Coding KS KE U W
TEK103 7.5 A 4 3 X E Financial Economics, Advanced Course KS KE U W
FMA170 6 A 4 3 X E2 Image Analysis KS KE U W
MAMN10 7.5 A 4 3 - S Interaction 1: Neuro modelling, Cognitive Robotics and Agents KS KE U W
MTTF01 5 G2 4 3 - S Logistics KS KE U W
MIO012 6 G1 4 3 - S Managerial Economics, Basic Course X Endast en av kurserna MIO012 och MIOA01 får ingå i examen. KS KE U W
FMS180 6 G2 4 3 - S Markov Processes KS KE U W
EXTF50 7.5 G2 4 3 - S Microeconomic Analysis KS KE U W
FRTN10 7.5 A 4 3 X E1 Multivariable Control KS KE U W
FMNN01 7.5 A 4 3 X E Numerical Linear Algebra KS KE U W
EDA230 7.5 A 4 4 X S Optimising Compilers KS KE U W
ETT074 6 A 4 3 X S Optimum Signal Processing KS KE U W
VVRN10 7.5 A 4 3 X E Rainfall Runoff Modelling KS KE U W
FMNN05 7.5 A 4 4 X E1 Simulation Tools KS KE U W
ETS032 7.5 G2 4 4 - S Software Development for Large Systems KS KE U W
FMS150 7.5 A 4 3 X E2 Statistical Image Analysis KS KE U W
FMS065 7.5 G2 4 3 - E2 Statistical Methods for Safety Analysis KS KE U W
GEMA30 4.5 G1 4 1 - S Swedish for Engineers KS KE U W
VSMN25 7.5 A 4 3 X E2 The Finite Element Method - Flow Analysis KS KE U W
TEK267 7.5 A 4 3 X E2 Theoretical Biophysics KS KE U W
KFK080 7.5 G1 4 3 - S Thermodynamics KS KE U W
EIEF01 10 G2 4 4 X E2 Applied Mechatronics KS KE U W
EDA040 6 G2 4 3 X E2 Concurrent Programming KS KE U W
EIT020 9 G2 4 3 - S Design of Digital Circuits – A Systems Approach KS KE U W
FMI050 7.5 A 4 1 - S Energy Systems Analysis: Energy, Environment and Natural Resources KS KE U W
GEMA20 7.5 G1 4 1 - E English for Engineers KS KE U W
FMA260 7.5 A 4 3 X E2 Functional Analysis and Harmonic Analysis KS KE U W
GEMF05 7.5 G2 4 1 X E Gender in Science and Engineering KS KE U
GEMA25 7.5 G1 4 1 - S German for Engineers KS KE U W
GEMA50 4.5 G1 4 1 - S History of Technology KS KE U W
GEMA60 7.5 G1 4 1 - S Law for Engineers, Introductory Course in Business Law KS KE U W
FMA140 6 A 4 3 X E2 Non-Linear Dynamical Systems KS KE U W
FMS110 7.5 A 4 3 X E1 Non-Linear Time Series Analysis KS KE U W
FRTN15 7.5 A 4 3 X E1 Predictive Control KS KE U W
EIE061 7.5 A 4 4 X E1 Project in Industrial Electrical Engineering and Automation KS KE U W
MMKN25 7.5 A 4 3 X E1 Project – Robot Technology KS KE U W
FRTN01 10 A 4 4 X E1 Real-Time Systems KS KE U W
VBR180 15 A 4 3 - S Risk Analysis Methods KS KE U W
GEMA75 7.5 G1 4 1 - S Spanish for Engineers: Spanish and Latin-American culture and society KS KE U W
GEMA70 15 G1 4 1 - S Japanese for Engineers KS KE U W
ETT042 6 A 4 3 X E2 Adaptive Signal Processing KS KE U W
ETEN10 7.5 A 4 3 X E Antenna Technology X Omtentamen enligt överenskommelse. KS KE U W
EEM040 6 G2 4 3 - S Biomedical Measurements X Omtentamen enligt överenskommelse. KS KE U W
KTE061 7.5 A 4 4 X E1 Chemical Reaction Engineering, Advanced Course X Hemtentamen KS KE U W
TEK210 4.5 G1 4 4 - S Cognition KS KE U W
EDAN10 7.5 A 4 3 X E2 Configuration Management KS KE U W
EDI051 7.5 G2 4 4 X S Cryptography KS KE U W
TEK110 7.5 A 4 4 X E Economics, Empirical Finance KS KE U W
TEK090 7.5 A 4 4 X E1 Economics, Information, Risk and Uncertainty KS KE U W
FMS161 7.5 A 4 3 X E1 Financial Statistics KS KE U W
FHL066 7.5 A 4 4 X E2 Finite Element Method for Non-linear Systems KS KE U W
FMN091 7.5 A 4 4 X E1 Finite Volume Methods X Kursen ges vartannat läsår. KS KE U W
EDAN40 7.5 A 4 3 X E2 Functional Programming KS KE U W
EDAN35 7.5 A 4 4 X E High Performance Computer Graphics KS KE U W
FMA175 3 A 4 3 X E1 Image Analysis, Project KS KE U W
MAMN15 7.5 A 4 3 - S Interaction 2: Virtuality and Cognitive Modelling KS KE U W
EITF25 6 G2 4 4 X E2 Internet - Techniques and Applications KS KE U W
MIO012 6 G1 4 3 - S Managerial Economics, Basic Course X Endast en av kurserna MIO012 och MIOA01 får ingå i examen. KS KE U W
FMS051 7.5 A 4 3 X E2 Mathematical Statistics, Time Series Analysis KS KE U W
FMEN10 8 A 4 3 X E2 Mechanical Vibrations KS KE U W
TEK145 7.5 A 4 4 X E Microeconomics - Theory for Individual Choice and Game Theory KS KE U W
FAFF20 7.5 G2 4 4 X E Multi-spectral Imaging KS KE U W
FMA145 3 A 4 3 X E1 Non-linear Dynamical Systems, Project KS KE U W
TEK171 7.5 A 4 3 - S Quantitative Human Physiology KS KE U W
FHL105 4.5 G1 4 3 - S Solid Mechanics, Basic Course KS KE U W
FMSN10 7.5 A 4 4 X E1 Survival Analysis KS KE U W
VSMN30 7.5 A 4 3 X E2 The Finite Element Method - Structural Analysis KS KE U W
TEK275 7.5 A 4 3 - E1 Theoretical Evolutionary Biology KS KE U W
FMA250 7.5 A 4 3 X E2 Partial Differential Equations with Distribution Theory KS KE U W
EDA260 6 G2 4 4 - S Software Development in Teams – Project KS KE U W
ETI135 4.5 A 4 3 X E Advanced Digital IC Design KS KE U W
MMKF15 7.5 G2 4 4 X E1 Applied Robotics KS KE U W
TEK292 7.5 A 4 3 - S Biological Systems KS KE U W
FMS210 7.5 G2 4 3 - E2 Chemometrics KS KE U
FMF170 7.5 G2 4 3 X E Complex Economy KS KE U W
EIT070 6 G2 4 3 - S Computer Organization KS KE U W
FMA270 6 A 4 3 X E2 Computer Vision KS KE U W
EDAN01 7.5 A 4 4 X E2 Constraint Programming KS KE U W
EDA216 7.5 G2 4 3 X S Database Technology KS KE U W
FFFF01 7.5 G2 4 4 - S Electronic Materials KS KE U W
TEK180 7.5 A 4 3 X E Financial Valuation and Risk Management KS KE U W
MMV211 7.5 G2 4 3 X S Fluid Mechanics KS KE U W
ETI280 6 G1 4 3 X S Intellectual Property Right Management (IPR) KS KE U W
MIO040 6 G2 4 3 - S Managerial Economics, Advanced Course KS KE U W
EDI075 6 A 4 3 X E1 Mathematical Cryptology KS KE U W
EXTF50 7.5 G2 4 3 - S Microeconomic Analysis KS KE U W
FMS091 7.5 A 4 3 X E2 Monte Carlo and Empirical Methods for Stochastic Inference KS KE U W
FRTN05 7.5 A 4 3 X E1 Non-Linear Control and Servo Systems KS KE U W
FMSF05 7.5 G2 4 3 - E2 Probability Theory KS KE U W
ETS200 7.5 A 4 3 X E1 Software Testing KS KE U W
VSMN10 7.5 A 4 1 X E2 Structural Dynamic Computing KS KE U W
FHLN01 7.5 A 4 3 X E2 Structural Optimization KS KE U W
EDA132 7.5 G2 4 3 X E2 Applied Artificial Intelligence KS KE U W 16 0 0 0 100
FMAN01 7.5 A 4 3 X E2 Biomathematics KS KE U W 14 0 2 0 86
EDA031 7.5 G2 4 3 X S C++ Programming KS KE U W 0 0 0 0 60
FMA200 6 A 4 3 X E2 Calculus of Variations KS KE U W 14 0 0 0 66
GEMA65 7.5 G1 4 1 - S Chinese for Engineers KS KE U 0 20 0 0 80
EDA180 7.5 G2 4 4 X E2 Compiler Construction KS KE U W 0 0 0 0 60
EIE050 6 A 4 4 X E1 Design of Electrical Machines KS KE U W 0 0 0 21 60
FMI040 7.5 A 4 1 - S Energy Systems Analysis: Renewable Sources of Energy KS KE U W 12 6 0 0 50
GEMA20 7.5 G1 4 1 - E English for Engineers KS KE U W 20 0 0 0 30
GEMA40 7.5 G1 4 1 - S Entrepreneurship and Business Development KS KE U W 23 0 0 5 75
FMIN05 7.5 A 4 3 - S Environmental System Studies: Climate, Science and Politics KS KE U W 18 4 3 1 74
GEMA01 7.5 G1 4 1 - S French for Engineers: Language, Culture and Society, First Course KS KE U W 0 26 0 0 60
GEMA60 7.5 G1 4 1 - S Law for Engineers, Introductory Course in Business Law KS KE U W 25 0 0 0 75
GEMA55 6 G1 4 1 - S Medicine for Engineers KS KE U W 36 0 0 0 40
EIE061 7.5 A 4 4 X E1 Project in Industrial Electrical Engineering and Automation KS KE U W 0 0 0 21 88
MMKN25 7.5 A 4 3 X E1 Project – Robot Technology KS KE U W 0 0 0 36 65
FRT041 7.5 A 4 3 X E1 System Identification KS KE U W 0 0 14 0 70
GEMA45 3 G1 4 1 - S Teaching and Learning KS KE U W 0 2 0 2 40
EDAF05 5 G2 4 3 - S Algorithms, Data Structures and Complexity KS KE U W 20 0 12 0 100
MVK150 6 A 4 4 X E1 Applied Computational Fluid Mechanics (CFD), Basic Course KS KE U W 28 34 0 0 75
ETI160 6 G2 4 3 X E2 Biomedical Signal Processing KS KE U W 14 14 0 24 80
FMA272 3 A 4 3 X E1 Computer Vision, Project KS KE U W 0 0 0 10 70
FMS072 7.5 G2 4 3 X E2 Design of Experiments KS KE U W 14 14 0 14 150
FMI070 7.5 A 4 1 X E Environmental Issues, Thematic Course KS KE U W 4 0 12 5 179
EIT080 7.5 G2 4 3 X E2 Information Theory KS KE U W 28 28 0 0 56
MIO040 6 G2 4 3 - S Managerial Economics, Advanced Course KS KE U W 40 14 10 1 95
FRTN20 7.5 A 4 3 - E2 Market-driven Systems KS KE U W 28 28 8 0 70
FAF150 7.5 A 4 3 X E Medical Optics X Tentamen (för högre betyg) enligt överenskommelse. KS KE U W 24 15 10 70 80
KFK090 7.5 G2 4 3 - S Molecular Interactions and Dynamics KS KE U W 28 28 20 0 60
EDAN25 6 A 4 3 - S Multicore Programming KS KE U W 14 0 12 0 105
EDA050 4.5 G2 4 3 X S Operating Systems KS KE U W 24 8 8 0 90
EDAF01 3 G2 4 3 X S Operating Systems - Project KS KE U W 4 0 0 0 75
EDAN30 7.5 A 4 4 X E Photo-realistic Computer Graphics KS KE U W 28 0 12 0 140
EDA145 7.5 A 4 3 X E2 Programming Language Theory KS KE U W 42 14 0 0 144
FRT090 7.5 A 4 4 X E1 Project in Automatic Control KS KE U W 0 0 0 50 150
EXTN15 7.5 A 4 3 - E2 Remote Sensing, Digital Methods KS KE U W 22 38 0 0 140
ETIF01 6 G2 4 3 X E2 Signal Processing - Design and Implementation KS KE U W 24 24 8 0 100
ETS061 7.5 A 4 4 X E2 Simulation KS KE U W 14 8 0 78 40
VSMN20 7.5 A 4 4 - S Software Development for Technical Applications KS KE U W 16 32 0 0 152
FMS155 7.5 A 4 3 X E2 Statistical Modelling of Extreme Values KS KE U W 28 14 6 2 100
FMF150 7.5 A 4 3 X E1 Thermodynamics and Statistical Physics KS KE U W 32 28 4 0 136

MIO012 Managerial Economics, Basic Course: Endast en av kurserna MIO012 och MIOA01 får ingå i examen.
ETEN10 Antenna Technology: Omtentamen enligt överenskommelse.
EEM040 Biomedical Measurements: Omtentamen enligt överenskommelse.
KTE061 Chemical Reaction Engineering, Advanced Course: Hemtentamen
FMN091 Finite Volume Methods: Kursen ges vartannat läsår.
FAF150 Medical Optics: Tentamen (för högre betyg) enligt överenskommelse.

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
FRT820 30 Degree Project in Automatic Control for Engineers KS U W
EDA920 30 Degree Project in Computer Sciences for Engineers KS U W
TEK920 30 Degree Project in Ecology KS U W
EITM01 30 Degree Project in Electrical and Information Technology KS U W
FMS820 30 Degree Project in Mathematical Statistics for Engineers KS U
FMA820 30 Degree Project in Mathematics for Engineers KS U W
FMN820 30 Degree Project in Numerical Analysis KS U W
PHYM01 30 Degree Project in Physics for Engineers KS U W
FHL820 30 Degree Project in Solid Mechanics for Engineers KS U W
VSM920 30 Degree Project in Structural Mechanics for Engineers KS U
TMA820 30 Degree Project in Technology Management KS U