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LTH Courses

Faculty of Engineering | Lund University

Courses given 2011/12 by Centre of Mathematical Sciences

 11/12 

Mathematical Statistics

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
Programme Programme the course belongs to in this academic year. The link points to the programme page for this academic year. 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
  11/12
sp4
FMSF15 7.5 G2 C, D, E, F, Pi X E1 Markov Processes KS KE U W T
FMS086 7.5 G2 B, K, N - S Mathematical Statistics KS KE U W T
FMS140 7.5 G2 W - S Mathematical Statistics, Basic Course KS KE U W T
FMSN20 7.5 A C, D, E, F, Pi X E1 Spatial Statistics with Image Analysis KS KE U W T
FMSF10 7.5 G2 C, D, E, F, I, L, M, MWIR X E1 Stationary Stochastic Processes X Please see footnote below. KS KE U W T
FMS065 7.5 G2 C, Pi, RH - E2 Statistical Methods for Safety Analysis KS KE U W T
FMSN25 7.5 A F, I, Pi X E1 Valuation of Derivative Assets KS KE U W T
FMS012 9 G2 I - S Mathematical Statistics, Basic Course KS KE U W T
FMS012 C, D
FMS012 E
FMS012 Pi
FMS012 F 1 Lectures: 18 h (45-minute sessions)
Exercises: 14 h (45-minute sessions)
Laboratory exercises: 6 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 85 h (45-minute sessions)
FMS110 7.5 A D, F, Pi X E1 Non-Linear Time Series Analysis KS KE U W T
FMS161 7.5 A D, F, I, Pi X E1 Financial Statistics KS KE U W T
FMSF01 3 G2 V - S Mathematical Statistics X Please see footnote below. KS KE U W T
FMS032 7.5 G2 L, V - S Mathematical Statistics, Basic Course KS KE U W T
FMS051 7.5 A C, D, E, F, I, Pi X E2 Mathematical Statistics, Time Series Analysis KS KE U W T
FMSN15 7.5 A F, Pi X E1 Statistical Modelling of Multivariate Extreme Values KS KE U W T
FMSN10 7.5 A F, Pi X E1 Survival Analysis KS KE U W T
FMSN30 7.5 A D, F, L, M, Pi X E1 Linear and Logistic Regression KS KE U W T
FMS091 7.5 A D, F, I, Pi X E2 Monte Carlo and Empirical Methods for Stochastic Inference KS KE U W T
FMSF05 7.5 G2 F, I, Pi - E2 Probability Theory KS KE U W T
FMS072 7.5 G2 D, E, F, MWIR, N, Pi, W X E2 Design of Experiments KS KE U W T 1 Lectures: 14 h (45-minute sessions)
Exercises: 14 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 14 h (45-minute sessions)
Time for self studies: 150 h (45-minute sessions)
FMSN05 3 A Pi X E International Project Course-Mathematical Modelling X Please see footnote below. KS KE U W T 1 Lectures: 0 h
Exercises: 0 h
Laboratory exercises: 0 h
Time with supervisor for projects: 10 h (45-minute sessions)
Time for self studies: 40 h (45-minute sessions)
FMS035 7.5 G2 M - S Mathematical Statistics, Basic Course KS KE U W T 1 Lectures: 28 h (45-minute sessions)
Exercises: 28 h (45-minute sessions)
Laboratory exercises: 10 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 120 h (45-minute sessions)
FMS045 6 G2 C, D, E, F, I, Pi - S Stationary Stochastic Processes X Please see footnote below. KS KE U W T 1 Lectures: 28 h (45-minute sessions)
Exercises: 28 h (45-minute sessions)
Laboratory exercises: 4 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 80 h (45-minute sessions)
FMS047 3 A D, I, Pi - S Stationary Stochastic Processes, Project Work X Please see footnote below. KS KE U W T 1 Lectures: 0 h
Exercises: 0 h
Laboratory exercises: 4 h (45-minute sessions)
Time with supervisor for projects: 6 h (45-minute sessions)
Time for self studies: 70 h (45-minute sessions)
FMS155 7.5 A D, F, I, Pi X E2 Statistical Modelling of Extreme Values KS KE U W T 1 Lectures: 28 h (45-minute sessions)
Exercises: 14 h (45-minute sessions)
Laboratory exercises: 6 h (45-minute sessions)
Time with supervisor for projects: 2 h (45-minute sessions)
Time for self studies: 100 h (45-minute sessions)

FMSF10 (C, D, E, I) Stationary Stochastic Processes: Endast en av kurserna FMS045 och FMSF10 får ingå i examen.
FMSF01 (V) Mathematical Statistics: Kursen kan endast ingå i avkortad civilingenjörsutbildning.
FMSN05 (Pi) International Project Course-Mathematical Modelling: Begränsat deltagarantal. Spec. ansökningsförfarande. Kursen går inte i läsperioden utan i augusti.
FMS045 (C, D, E) Stationary Stochastic Processes: Endast en av kurserna FMS045 och FMSF10 får ingå i examen.
FMS045 (I) Stationary Stochastic Processes: Kursen är obligatorisk i teknikprofilen Matematisk modellering för antagna H09. Kursen är också valfri på programmet.
FMS047 (I) Stationary Stochastic Processes, Project Work: Kursen är obligatorisk i teknikprofilen Matematisk modellering för antagna H09. Kursen är också valfri på programmet.

Mathematics

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
Programme Programme the course belongs to in this academic year. The link points to the programme page for this academic year. 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
  11/12
sp4
FMA430 6 G1 B, BI, K, L, N, V - S Calculus in Several Variables KS KE U W T
FMA430 C, D
FMA430 F, I
FMA430 E, M, MD, W 1 Lectures: 50 h (45-minute sessions)
Exercises: 28 h (45-minute sessions)
Laboratory exercises: 4 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 90 h (45-minute sessions)
FMA170 6 A C, D, E, F, L, Pi X E2 Image Analysis KS KE U W T
FMA661 7.5 G2 IDA - S Probability Theory and Discrete Mathematics KS KE U W T
FMAA05 15 G1 BI, E, F, I, L, Pi, V, W - S Calculus in One Variable KS KE U W T
FMA260 7.5 A D, F, Pi X E2 Functional Analysis and Harmonic Analysis KS KE U W T
FMA140 6 A D, F, Pi X E2 Non-Linear Dynamical Systems KS KE U W T
FMA645 13.5 G1 IBYA, IBYI, IBYV, IDA, IEA - S Calculus KS KE U W T
FMAA01 15 G1 BME, C, D, M, MD - S Calculus in One Variable KS KE U W T
FMAA01 B, K, N 1 Lectures: 42 h (45-minute sessions)
Exercises: 28 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 0 h
Time for self studies: 81 h (45-minute sessions)
FMA085 4.5 G1 Pi - S Mathematical Communication KS KE U W T 1 Lectures: 8 h (45-minute sessions)
Exercises: 8 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 14 h (45-minute sessions)
Time for self studies: 48 h (45-minute sessions)
FMA175 3 A C, D, E, F, Pi X E1 Image Analysis, Project KS KE U W T
FMA420 6 G1 C, Pi, W - S Linear Algebra KS KE U W T
FMA420 B, F, I, K, M, MD, N
FMA420 BI, E, L, V
FMA420 BME, D 1 Lectures: 42 h (45-minute sessions)
Exercises: 28 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 0 h
Time for self studies: 90 h (45-minute sessions)
FMA045 4.5 G1 Pi - S Mathematical Modelling KS KE U W T
FMA145 3 A D, F, Pi X E1 Non-linear Dynamical Systems, Project KS KE U W T
FMA051 6 A D, E, F, I, Pi X E1 Optimization X Please see footnote below. KS KE U W T
FMA135 6 G1 C, D, E, F, Pi X E2 Geometry KS KE U W T
FMAF10 5 G2 B, C, D, K, L, M, W - S Applied Mathematics - Linear systems X Please see footnote below. KS KE U W T
FMA270 6 A C, D, E, F, Pi X E1 Computer Vision KS KE U W T
FMA240 6 G2 D, E, F, Pi X E2 Linear and Combinatorial Optimization KS KE U W T
FMA111 6 A D, F, Pi - S Mathematical Structures KS KE U W T
FMAF01 7 G2 F, N, Pi - S Mathematics - Analytic Functions KS KE U W T
FMAF01 C, D, E, I X Please see footnote below.
FMA190 6 A C, D, E, F, Pi X E2 Algebra KS KE U T 1 Lectures: 14 h (45-minute sessions)
Exercises: 7 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 0 h
Time for self studies: 59 h (45-minute sessions)
FMA021 7.5 A E, F, M, Pi - S Applied Mathematics KS KE U W T 1 Lectures: 24 h (45-minute sessions)
Exercises: 14 h (45-minute sessions)
Laboratory exercises: 6 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 60 h (45-minute sessions)
FMAN01 7.5 A E, F, Pi, W X E2 Biomathematics KS KE U T 1 Lectures: 14 h (45-minute sessions)
Exercises: 6 h (45-minute sessions)
Laboratory exercises: 2 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 86 h (45-minute sessions)
FMA435 7.5 G1 Pi - S Calculus in Several Variables KS KE U W T 1 Lectures: 10 h (45-minute sessions)
Exercises: 10 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 0 h
Time for self studies: 20 h (45-minute sessions)
FMA200 6 A D, E, F, Pi X E2 Calculus of Variations KS KE U T 1 Lectures: 14 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 0 h
Time with supervisor for projects: 0 h
Time for self studies: 66 h (45-minute sessions)
FMA120 6 A C, D, E, F X E2 Matrix Theory KS KE U W T 1 Lectures: 8 h (45-minute sessions)
Exercises: 8 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 0 h
Time for self studies: 40 h (45-minute sessions)
FMA120 Pi
FMAF15 7.5 G2 B, K, M, W - S Applied Mathematics - Partial Differential Equations KS KE U W T 1 Lectures: 42 h (45-minute sessions)
Exercises: 21 h (45-minute sessions)
Laboratory exercises: 4 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 150 h (45-minute sessions)
FMA023 3 A F, Pi - E1 Applied Mathematics, Project KS KE U W T 1 Lectures: 0 h
Exercises: 0 h
Laboratory exercises: 0 h
Time with supervisor for projects: 10 h (45-minute sessions)
Time for self studies: 70 h (45-minute sessions)
FMA272 3 A C, D, E, F, Pi X E1 Computer Vision, Project KS KE U T 1 Lectures: 0 h
Exercises: 0 h
Laboratory exercises: 0 h
Time with supervisor for projects: 10 h (45-minute sessions)
Time for self studies: 70 h (45-minute sessions)
FMA091 6 G1 C, D, E, F, Pi - S Discrete Mathematics KS KE U W T 1 Lectures: 36 h (45-minute sessions)
Exercises: 28 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 0 h
Time for self studies: 104 h (45-minute sessions)
FMAF05 7 G2 F, N, Pi - S Mathematics - Systems and Transforms KS KE U W T
FMAF05 C, D, E, I X Please see footnote below. 1 Lectures: 42 h (45-minute sessions)
Exercises: 28 h (45-minute sessions)
Laboratory exercises: 4 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 90 h (45-minute sessions)
FMA656 4.5 G1 IBYA, IBYI, IBYV, IDA, IEA - S Mathematics, Linear Algebra KS KE U W T 1 Lectures: 28 h (45-minute sessions)
Exercises: 28 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 0 h
Time for self studies: 64 h (45-minute sessions)
FMA125 3 A D, E, F - E1 Matrix Theory, Project KS KE U T 1 Lectures: 0 h
Exercises: 0 h
Laboratory exercises: 0 h
Time with supervisor for projects: 10 h (45-minute sessions)
Time for self studies: 70 h (45-minute sessions)
FMA125 Pi
FMAN05 6 A D, F, N, Pi X E1 Quantum Computing KS KE U W T 1 Lectures: 14 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 0 h
Time with supervisor for projects: 0 h
Time for self studies: 144 h (45-minute sessions)

FMA051 (I) Optimization: Kursen är obligatorisk i teknikprofilen Matematisk modellering för antagna H09. Kursen är också valfri på programmet.
FMAF10 (C) Applied Mathematics - Linear systems: Endast en av kurserna FMAF05 och FMAF10 får ingå i examen.
FMAF10 (D) Applied Mathematics - Linear systems: Kan bytas mot kurserna FMAF01 samt FMAF05 (Båda måste läsas). Kontakta studievägledare för mer information. Kurserna FMAF10 och FMAF05 kan inte samtidigt ingå i examen.
FMAF01 (D) Mathematics - Analytic Functions: Kan tillsammans med FMAF05 läsas i stället för FMAF10. Kontakta programledare eller studievägledare för mer information. Ges också som valfri kurs i årskurs 4.
FMAF05 (C) Mathematics - Systems and Transforms: Endast en av kurserna FMAF05 och FMAF10 får ingå i examen.
FMAF05 (D) Mathematics - Systems and Transforms: Kan tillsammans med FMAF01 läsas i stället för FMAF10. Kontakta programledare eller studievägledare för mer information. Endast en av kurserna FMAF05 och FMAF10 får ingå i examen.

Numerical Analysis

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
Programme Programme the course belongs to in this academic year. The link points to the programme page for this academic year. 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
  11/12
sp4
FMNN01 7.5 A F, Pi X E Numerical Linear Algebra KS KE U W T
FMN100 6 A C, D, E, F X E1 Numerical Methods in CAGD KS KE U W T
FMNN05 7.5 A D, F, Pi X E1 Simulation Tools KS KE U W T
FMNN25 7.5 A D, E, F, Pi X E1 Advanced Course in Numerical Algorithms with Python/SciPy KS KE U W T
FMNN20 7.5 A F, Pi X E1 Numerical Analysis for Elliptic and Parabolic Differential Equations KS KE U T
FMNN10 8 A F, I, Pi X E1 Numerical Methods for Differential Equations KS KE U W T
FMN140 6 G2 V - S Scientific Computing KS KE U W T
FMNN15 4 A F, Pi X E1 Multigrid Methods for Differential Equations KS KE U W T
FMN110 7.5 A F, M, Pi X E1 Numerical Methods in Multibody Dynamics X Please see footnote below. KS KE U W T
FMN011 6 G2 C, D X E1 Numerical Analysis KS KE U W T 1 Lectures: 56 h (45-minute sessions)
Exercises: 12 h (45-minute sessions)
Laboratory exercises: 28 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 60 h (45-minute sessions)
FMN050 6 G2 E, I X E1 Numerical Analysis X Please see footnote below. KS KE U W T 1 Lectures: 56 h (45-minute sessions)
Exercises: 12 h (45-minute sessions)
Laboratory exercises: 28 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 60 h (45-minute sessions)

FMN110 (F, M, Pi) Numerical Methods in Multibody Dynamics: Kursen ges vartannat läsår.
FMN050 (I) Numerical Analysis: Kursen är obligatorisk i teknikprofilen Matematisk modellering för antagna H09. Kursen är också valfri på programmet.

Degree Projects of the Department

The list contains the degree projects which are given by the department and which programme each degree project is included in.

Course Code Credits Programme Programme the course belongs to in this academic year. The link points to the programme page for this academic year. 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
FMS820 30 C, D, E, F, I, Pi, RH Degree Project in Mathematical Statistics for Engineers KS U
FMA820 30 C, D, E, F, I, M, Pi Degree Project in Mathematics for Engineers KS U W
FMN820 30 D, E, F, I, M, Pi Degree Project in Numerical Analysis KS U W