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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
sp1
11/12
sp2
11/12
sp3
11/12
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)
FMSF15 7.5 G2 C, D, E, F, Pi X E1 Markov Processes KS KE U W T 28 28 6 0 120
FMS086 7.5 G2 B, K, N - S Mathematical Statistics KS KE U W T 28 22 18 1 120
FMS140 7.5 G2 W - S Mathematical Statistics, Basic Course KS KE U W T 14 28 28 1 120
FMSN20 7.5 A C, D, E, F, Pi X E1 Spatial Statistics with Image Analysis KS KE U W T 28 0 21 4 120
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 28 28 6 0 120
FMS065 7.5 G2 C, Pi, RH - E2 Statistical Methods for Safety Analysis KS KE U W T 28 14 12 0 120
FMSN25 7.5 A F, I, Pi X E1 Valuation of Derivative Assets KS KE U W T 28 28 6 1 120
FMS012 9 G2 I - S Mathematical Statistics, Basic Course KS KE U W T 18 14 6 0 85 18 14 6 0 85
FMS012 C, D 18 14 4 0 85 18 14 6 0 85
FMS012 E 18 14 4 0 85 18 14 6 0 85
FMS012 Pi 18 14 4 0 72 18 14 6 0 98
FMS012 F 18 14 4 0 85 18 14 6 0 85
FMS110 7.5 A D, F, Pi X E1 Non-Linear Time Series Analysis KS KE U W T 16 4 8 0 60 16 4 8 3 60
FMS161 7.5 A D, F, I, Pi X E1 Financial Statistics KS KE U W T 28 14 14 5 120
FMSF01 3 G2 V - S Mathematical Statistics X Please see footnote below. KS KE U W T 0 0 12 1 50
FMS032 7.5 G2 L, V - S Mathematical Statistics, Basic Course KS KE U W T 28 28 12 0 120
FMS051 7.5 A C, D, E, F, I, Pi X E2 Mathematical Statistics, Time Series Analysis KS KE U W T 32 6 12 5 120
FMSN15 7.5 A F, Pi X E1 Statistical Modelling of Multivariate Extreme Values KS KE U W T 28 14 6 1 120
FMSN10 7.5 A F, Pi X E1 Survival Analysis KS KE U W T 28 14 8 1 100
FMSN30 7.5 A D, F, L, M, Pi X E1 Linear and Logistic Regression KS KE U W T 28 14 14 2 120
FMS091 7.5 A D, F, I, Pi X E2 Monte Carlo and Empirical Methods for Stochastic Inference KS KE U W T 26 0 14 5 120
FMSF05 7.5 G2 F, I, Pi - E2 Probability Theory KS KE U W T 22 14 0 0 160
FMS072 7.5 G2 D, E, F, MWIR, N, Pi, W X E2 Design of Experiments KS KE U W T 14 14 0 14 150
FMSN05 3 A Pi X E International Project Course-Mathematical Modelling X Please see footnote below. KS KE U W T 0 0 0 10 40
FMS035 7.5 G2 M - S Mathematical Statistics, Basic Course KS KE U W T 28 28 10 0 120
FMS045 6 G2 C, D, E, F, I, Pi - S Stationary Stochastic Processes X Please see footnote below. KS KE U W T 28 28 4 0 80
FMS047 3 A D, I, Pi - S Stationary Stochastic Processes, Project Work X Please see footnote below. KS KE U W T 0 0 4 6 70
FMS155 7.5 A D, F, I, Pi X E2 Statistical Modelling of Extreme Values KS KE U W T 28 14 6 2 100

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
sp1
11/12
sp2
11/12
sp3
11/12
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)
FMA430 6 G1 B, BI, K, L, N, V - S Calculus in Several Variables KS KE U W T 50 28 4 0 90
FMA430 C, D 50 28 4 0 90
FMA430 F, I 50 28 4 0 90
FMA430 E, M, MD, W 50 28 4 0 90
FMA170 6 A C, D, E, F, L, Pi X E2 Image Analysis KS KE U W T 28 14 8 0 120
FMA661 7.5 G2 IDA - S Probability Theory and Discrete Mathematics KS KE U W T 36 36 0 0 128
FMAA05 15 G1 BI, E, F, I, L, Pi, V, W - S Calculus in One Variable KS KE U W T 56 56 0 0 122 56 42 0 0 122
FMA260 7.5 A D, F, Pi X E2 Functional Analysis and Harmonic Analysis KS KE U W T 14 12 2 0 52 14 12 2 0 52
FMA140 6 A D, F, Pi X E2 Non-Linear Dynamical Systems KS KE U W T 14 7 0 0 59 14 7 0 0 59
FMA645 13.5 G1 IBYA, IBYI, IBYV, IDA, IEA - S Calculus KS KE U W T 14 28 0 0 38 36 36 0 0 88 28 28 0 0 64
FMAA01 15 G1 BME, C, D, M, MD - S Calculus in One Variable KS KE U W T 34 42 0 0 81 42 28 0 0 81 42 28 0 0 81
FMAA01 B, K, N 34 42 0 0 81 0 0 0 0 0 42 28 0 0 81 42 28 0 0 81
FMA085 4.5 G1 Pi - S Mathematical Communication KS KE U W T 10 10 0 0 10 6 4 0 0 6 0 0 0 0 0 8 8 0 14 48
FMA175 3 A C, D, E, F, Pi X E1 Image Analysis, Project KS KE U W T 0 0 0 10 70
FMA420 6 G1 C, Pi, W - S Linear Algebra KS KE U W T 42 28 0 0 90
FMA420 B, F, I, K, M, MD, N 42 28 0 0 90
FMA420 BI, E, L, V 42 28 0 0 90
FMA420 BME, D 42 28 0 0 90
FMA045 4.5 G1 Pi - S Mathematical Modelling KS KE U W T 10 28 6 0 76
FMA145 3 A D, F, Pi X E1 Non-linear Dynamical Systems, Project KS KE U W T 0 0 0 10 70
FMA051 6 A D, E, F, I, Pi X E1 Optimization X Please see footnote below. KS KE U W T 36 14 4 0 100
FMA135 6 G1 C, D, E, F, Pi X E2 Geometry KS KE U W T 14 0 2 0 64 14 0 2 0 64
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 28 14 4 0 58
FMA270 6 A C, D, E, F, Pi X E1 Computer Vision KS KE U W T 28 14 8 0 120
FMA240 6 G2 D, E, F, Pi X E2 Linear and Combinatorial Optimization KS KE U W T 28 0 4 0 132
FMA111 6 A D, F, Pi - S Mathematical Structures KS KE U W T 28 14 0 0 118
FMAF01 7 G2 F, N, Pi - S Mathematics - Analytic Functions KS KE U W T 42 28 4 0 130
FMAF01 C, D, E, I X Please see footnote below. 42 28 4 0 130
FMA190 6 A C, D, E, F, Pi X E2 Algebra KS KE U T 14 7 0 0 59 14 7 0 0 59
FMA021 7.5 A E, F, M, Pi - S Applied Mathematics KS KE U W T 24 12 2 0 60 24 14 6 0 60
FMAN01 7.5 A E, F, Pi, W X E2 Biomathematics KS KE U T 14 6 2 0 86 14 6 2 0 86
FMA435 7.5 G1 Pi - S Calculus in Several Variables KS KE U W T 50 28 4 0 90 10 10 0 0 20
FMA200 6 A D, E, F, Pi X E2 Calculus of Variations KS KE U T 14 0 0 0 66 14 0 0 0 66
FMA120 6 A Pi X E2 Matrix Theory KS KE U W T 14 14 0 0 52 14 14 0 0 52
FMA120 C, D, E, F 20 20 0 0 64 8 8 0 0 40
FMAF15 7.5 G2 B, K, M, W - S Applied Mathematics - Partial Differential Equations KS KE U W T 42 21 4 0 150
FMA023 3 A F, Pi - E1 Applied Mathematics, Project KS KE U W T 0 0 0 10 70
FMA272 3 A C, D, E, F, Pi X E1 Computer Vision, Project KS KE U T 0 0 0 10 70
FMA091 6 G1 C, D, E, F, Pi - S Discrete Mathematics KS KE U W T 36 28 0 0 104
FMAF05 7 G2 F, N, Pi - S Mathematics - Systems and Transforms KS KE U W T 42 28 4 0 90
FMAF05 C, D, E, I X Please see footnote below. 42 28 4 0 90
FMA656 4.5 G1 IBYA, IBYI, IBYV, IDA, IEA - S Mathematics, Linear Algebra KS KE U W T 28 28 0 0 64
FMA125 3 A Pi - E1 Matrix Theory, Project KS KE U T 0 0 0 10 70
FMA125 D, E, F 0 0 0 10 70
FMAN05 6 A D, F, N, Pi X E1 Quantum Computing KS KE U W T 14 0 0 0 144

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
sp1
11/12
sp2
11/12
sp3
11/12
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)
FMNN01 7.5 A F, Pi X E Numerical Linear Algebra KS KE U W T 42 14 42 0 80
FMN100 6 A C, D, E, F X E1 Numerical Methods in CAGD KS KE U W T 28 12 24 0 90
FMNN05 7.5 A D, F, Pi X E1 Simulation Tools KS KE U W T 28 0 56 0 116
FMNN25 7.5 A D, E, F, Pi X E1 Advanced Course in Numerical Algorithms with Python/SciPy KS KE U W T 28 0 56 0 116
FMNN20 7.5 A F, Pi X E1 Numerical Analysis for Elliptic and Parabolic Differential Equations KS KE U T 28 14 0 0 160
FMNN10 8 A F, I, Pi X E1 Numerical Methods for Differential Equations KS KE U W T 56 0 28 30 70
FMN140 6 G2 V - S Scientific Computing KS KE U W T 28 0 28 0 50 2 0 10 1 41
FMNN15 4 A F, Pi X E1 Multigrid Methods for Differential Equations KS KE U W T 20 0 12 0 80
FMN110 7.5 A F, M, Pi X E1 Numerical Methods in Multibody Dynamics X Please see footnote below. KS KE U W T 28 28 28 30 80
FMN011 6 G2 C, D X E1 Numerical Analysis KS KE U W T 56 12 28 0 60
FMN050 6 G2 E, I X E1 Numerical Analysis X Please see footnote below. KS KE U W T 56 12 28 0 60

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