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LTH Courses

Faculty of Engineering | Lund University

Courses given 2013/14 by Centre of Mathematical Sciences

 13/14 

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
  13/14
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13/14
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13/14
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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, I, Pi X E1 Markov Processes KS KE U W T 28 28 6 0 120
FMS086 7.5 G2 B, BME, 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
FMSF10 7.5 G2 C, D, E, F, I, L, M, MWIR, Pi 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 - E1 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 X Please see footnote below. 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.
FMS161 7.5 A F, I, Pi X E1 Financial Statistics KS KE U W T 28 14 14 5 120
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 E1 Mathematical Statistics, Time Series Analysis KS KE U W T 26 12 12 5 120
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
FMSN15 7.5 A F, Pi X E1 Statistical Modelling of Multivariate Extreme Values KS KE U W T 28 14 9 1 120
FMSN10 7.5 A F, Pi X E1 Survival Analysis X Please see footnote below. KS KE U W T 28 14 8 1 100
FMS091 7.5 A D, F, I, Pi X E1 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 X E1 Probability Theory KS KE U W T 22 14 0 0 160
FMSN35 7.5 A C, D, E, F, I, Pi X E1 Stationary and Non-stationary Spectral Analysis KS KE U W T 18 6 6 5 120
FMS072 7.5 G2 D, E, F, MLIV, MWIR, N, Pi, W X E1 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
FMSN30 7.5 A D, F, I, L, M, Pi X E1 Linear and Logistic Regression X Please see footnote below. KS KE U W T 28 14 14 2 120
FMSN40 9 A I X E1 Linear and Logistic Regression with Data Gathering X Please see footnote below. KS KE U W T 30 16 16 5 120
FMS035 7.5 G2 M - S Mathematical Statistics, Basic Course KS KE U W T 28 28 10 0 120
FMS155 7.5 A D, F, I, Pi X E1 Statistical Modelling of Extreme Values KS KE U W T 28 14 6 2 100

FMSF10 (C, D, E, F, I) Stationary Stochastic Processes: Only one of the courses FMS045 and FMSF10 may be included in a degree.
FMS110 (D, F, Pi) Non-Linear Time Series Analysis: The course is offered every other academic year and will next be offered in 2014/15.
FMSN10 (F, Pi) Survival Analysis: The course is offered every other academic year and will be given in 2013/14, 2015/16.
FMSN05 (Pi) International Project Course-Mathematical Modelling: Limited number of participants. Specific application procedure. The course is given in August.
FMSN30 (I) Linear and Logistic Regression: Only one of the courses FMSN30 and FMSN40 may be included in a degree.
FMSN40 (I) Linear and Logistic Regression with Data Gathering: Compulsory course in the elective block ‘Mathematical Modelling’ for students admitted autumn 2011. The course is also an optional programme course. Only one of the courses FMSN30 and FMSN40 may be included in a degree.

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
  13/14
sp1
13/14
sp2
13/14
sp3
13/14
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, BME, K, L, N, V - S Calculus in Several Variables KS KE U W T 42 28 2 0 90
FMA430 C, D 42 28 2 0 90
FMA430 F, I 42 28 2 0 90
FMA430 E, M, MD, W 42 28 2 0 90
FMA170 6 A C, D, E, F, L, Pi X E1 Image Analysis KS KE U W T 26 14 8 1 122
FMAF20 4 G2 IEA - S Probability Theory KS KE U W T 24 24 0 0 54
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 50 28 0 0 135 50 28 0 0 109
FMA260 7.5 A F, Pi X E1 Functional Analysis and Harmonic Analysis KS KE U W T 14 14 0 0 72 14 14 0 0 72
FMA120 6 A C, D, E, F, Pi X E1 Matrix Theory KS KE U W T 14 14 0 1 52 12 14 0 1 52
FMA140 6 A D, F, Pi X E1 Non-Linear Dynamical Systems KS KE U W T 14 6 0 0 54 12 6 0 0 60
FMA645 13.5 G1 IBYA, IBYI, IBYV, IDA, IEA - S Calculus KS KE U W T 14 26 0 0 40 44 26 0 0 92 28 26 0 0 66
FMAA01 15 G1 BME, C, D, M, MD - S Calculus in One Variable KS KE U W T 30 20 0 0 83 36 18 0 0 79 36 18 0 0 79
FMAA01 B, K, N 30 20 0 0 83 0 0 0 0 0 36 18 0 0 79 36 18 0 0 79
FMA085 4.5 G1 Pi - S Mathematical Communication KS KE U W T 10 10 0 1 10 6 4 0 1 6 0 0 0 0 0 8 8 0 4 58
FMA420 6 G1 C, F, Pi, W - S Linear Algebra KS KE U W T 40 24 0 0 96
FMA420 B, I, K, M, MD, N 40 24 0 0 96
FMA420 BI, E, L, V 40 24 0 0 96
FMA420 BME, D 40 24 0 0 96
FMAF01 7 G2 F, N, Pi - S Mathematics - Analytic Functions KS KE U W T 40 26 4 1 113
FMAF01 C, D, E, I X Please see footnote below. 40 26 4 1 113
FMA175 3 A C, D, E, F, L, Pi X E1 Image Analysis, Project KS KE U W T 0 0 0 10 70
FMAA10 3 G1 Pi - S Mathematical Modelling X Please see footnote below. KS KE U W T 10 0 0 2 68
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 32 14 4 1 104
FMA135 6 G1 C, D, E, F, Pi - E1 Geometry X Please see footnote below. KS KE U W T 14 0 2 0 64 12 0 0 1 66
FMA250 7.5 A F, Pi X E1 Partial Differential Equations with Distribution Theory X Please see footnote below. 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.
FMAF05 7 G2 F, N, Pi - S Mathematics - Systems and Transforms KS KE U W T 40 26 4 1 113
FMAF05 C, D, E, I X Please see footnote below. 40 26 4 1 113
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
FMAN10 7.5 A C, D, F, Pi X E1 Algebraic Structures X Please see footnote below. KS KE U W T 28 14 0 0 158
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 26 12 4 0 91
FMA270 6 A C, D, E, F, Pi X E1 Computer Vision KS KE U W T 26 12 8 1 124
FMA240 6 G2 D, E, F, Pi X E1 Linear and Combinatorial Optimization KS KE U W T 26 0 4 1 134
FMA111 6 A D, F, Pi - S Mathematical Structures KS KE U W T 28 14 0 0 118
FMA021 7.5 A D, E, F, M, Pi - S Applied Mathematics KS KE U W T 24 12 3 0 59 22 14 4 0 60
FMAN01 7.5 A E, F, Pi, W X E1 Biomathematics X Please see footnote below. KS KE U T 14 6 2 1 86 14 6 2 1 86
FMA435 7.5 G1 Pi - S Calculus in Several Variables KS KE U W T 42 28 2 0 90 8 8 0 0 24
FMA200 6 A D, E, F, Pi X E1 Calculus of Variations KS KE U T 14 0 0 0 66 14 0 0 0 66
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 34 26 0 0 100
FMA656 4.5 G1 IBYA, IBYI, IBYV, IDA, IEA - S Mathematics, Linear Algebra KS KE U W T 28 26 0 0 66

FMAF01 (D) Mathematics - Analytic Functions: Can together with FMAF05 replace FMAF10. Can also be taken as an elective course in the 4th or 5th year.
FMAA10 (Pi) 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.
FMA051 (I) Optimization: Compulsory course in the elective block ‘Mathematical Modelling’ for students admitted autumn 2011. The course is also an optional programme course.
FMA135 (C, D, E, F) Geometry: Please note that the contents of the course are partly (3 credits) the same as in FMN100.
FMA250 (F, Pi) Partial Differential Equations with Distribution Theory: The course is offered every other academic year and will next be offered in 2014/15.
FMAF05 (C) Mathematics - Systems and Transforms: Only one of the courses FMAF05 and FMAF10 may be included in a degree.
FMAF05 (D) Mathematics - Systems and Transforms: Can together with FMAF01 replace FMAF10. Only one of the courses FMAF05 and FMAF10 may be included in a degree.
FMAN10 (C, D, F, Pi) Algebraic Structures: The date and time of the exam is announced by the course lecturer. The course is to be studied together with MATM11, which is given by the division for Mathematics of the Faculty of Science. Does not follow the study period structure.
FMAF10 (C) Applied Mathematics - Linear systems: Only one of the courses FMAF05 and FMAF10 may be included in a degree.
FMAF10 (D) Applied Mathematics - Linear systems: Can be replaced by FMAF01 and FMAF05 together. Only one of the courses FMAF10 and FMAF05 may be included in a degree.
FMAN01 (E, F, Pi, W) Biomathematics: The course is offered every other academic year and will be given in 2013/14, 2015/16.

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
  13/14
sp1
13/14
sp2
13/14
sp3
13/14
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 D, E, F, Pi X E1 Advanced Course in Numerical Algorithms with Python/SciPy KS KE U W T 28 14 0 3 155
FMNN01 7.5 A F, Pi X E Numerical Linear Algebra KS KE U W T 42 0 0 6 152
FMN100 6 A C, D, E, F X E1 Numerical Methods in CAGD X Please see footnote below. KS KE U W T 28 12 0 4 120
FMNN20 7.5 A F, Pi X E1 Numerical Analysis for Elliptic and Parabolic Differential Equations X Please see footnote below. 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 54 0 0 3 156
FMNN05 7.5 A D, F, Pi X E1 Simulation Tools KS KE U W T 28 14 0 3 155
FMN140 6 G2 V - S Scientific Computing KS KE U W T 24 0 28 1 54 2 0 10 1 41
FMNN15 4 A F, Pi X E1 Multigrid Methods for Differential Equations KS KE U W T 20 0 0 2 85
FMN011 6 G2 C, D, L X E1 Numerical Analysis KS KE U W T 54 14 0 3 92
FMN050 6 G2 E, I X E1 Numerical Analysis X Please see footnote below. KS KE U W T 54 14 0 3 92

FMN100 (C, D, E, F) Numerical Methods in CAGD: Please note that the contents of the course are partly (3 credits) the same as in FMA135.
FMNN20 (F, Pi) Numerical Analysis for Elliptic and Parabolic Differential Equations: The course is offered every other academic year and will be given in 2013/14, 2015/16.
FMN050 (I) Numerical Analysis: Compulsory course in the elective block ‘Mathematical Modelling’ for students admitted autumn 2011. The course is also an optional programme course.

Bachelor's Projects of the Department

The list contains the bachelor's projects which are given by the department and which programme each bachelor's project is included in. The list is not necessarily complete before the academic year 2016/17.

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
FMSL01 15 C, D, E, F, I, Pi Bachelor Project in Mathematical Statistics KS KE U W
FMNL01 15 E Bachelor Project in Numerical Analysis KS KE U

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 BME, C, D, E, F, I, Pi, RH Degree Project in Mathematical Statistics for Engineers KS KE U W
FMA820 30 BME, C, D, E, F, I, M, Pi Degree Project in Mathematics for Engineers KS KE U W
FMN820 30 D, E, F, I, M, Pi Degree Project in Numerical Analysis KS KE U W