Courses given 2019/20 by Centre for Mathematical Sciences
◄ 19/20 ►
Mathematical Statistics
Course Code | Credits | Cycle | Programme | S.Ex. stud. | Language | Course Name | Footnote | Links | 19/20 sp1 |
19/20 sp2 |
19/20 sp3 |
19/20 sp4 |
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F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | ||||||||||
FMSF35 | 4 | G2 | IEA | - | S | Basic Probability Theory | KS KE U W T | 24 | 24 | 0 | 0 | 54 | |||||||||||||||||
FMSF15 | 7.5 | G2 | BME, C, D, E, F, I, Pi | X | E | Markov Processes | KS KE U W T | 26 | 16 | 6 | 0 | 140 | |||||||||||||||||
FMSF30 | 5 | G2 | IBYA, IBYI, IBYV | - | S | Mathematical Statistics | KS KE U W T | 30 | 32 | 0 | 0 | 71 | |||||||||||||||||
FMSF70 | 7.5 | G2 | B, BME, K, N | - | S | Mathematical Statistics | KS KE U W T | 26 | 16 | 8 | 1 | 140 | |||||||||||||||||
FMSF75 | 7.5 | G2 | W | - | S | Mathematical Statistics, Basic Course | KS KE U W T | 16 | 16 | 20 | 2 | 130 | |||||||||||||||||
FMSF40 | 7.5 | G2 | IDA | - | S | Probability Theory and Discrete Mathematics | KS KE U W T | 36 | 38 | 0 | 0 | 126 | |||||||||||||||||
FMSF10 | 7.5 | G2 | BME, C, D, E, F, I, M, MWIR, Pi | X | E | Stationary Stochastic Processes | KS KE U W T | 22 | 16 | 6 | 0 | 145 | |||||||||||||||||
FMSN25 | 7.5 | A | F, I, Pi | X | E | Valuation of Derivative Assets | KS KE U W T | 32 | 26 | 6 | 1 | 120 | |||||||||||||||||
FMSF45 | 9 | G2 | Pi | - | S | Mathematical Statistics, Basic Course | KS KE U W T | 18 | 14 | 4 | 0 | 85 | 18 | 14 | 4 | 0 | 85 | ||||||||||||
FMSF45 | I | 18 | 14 | 4 | 0 | 85 | 18 | 14 | 4 | 0 | 85 | ||||||||||||||||||
FMSF45 | F | 18 | 14 | 4 | 0 | 85 | 18 | 14 | 4 | 0 | 85 | ||||||||||||||||||
FMSN60 | 7.5 | A | I | X | E | Financial Statistics | KS KE U W T | 28 | 14 | 16 | 5 | 120 | |||||||||||||||||
FMSN60 | F, Pi | 28 | 14 | 16 | 5 | 120 | |||||||||||||||||||||||
FMSF25 | 2.5 | G2 | V | - | S | Mathematical Statistics - Complementary Project | X | KS KE U W T | 0 | 0 | 8 | 1 | 50 | ||||||||||||||||
FMSF25 | V | X | 0 | 0 | 8 | 1 | 50 | ||||||||||||||||||||||
FMSF20 | 7.5 | G2 | D, E | - | S | Mathematical Statistics, Basic Course | KS KE U W T | 26 | 16 | 8 | 0 | 140 | |||||||||||||||||
FMSF50 | 7.5 | G2 | L, V | - | S | Mathematical Statistics, Basic Course | KS KE U W T | 26 | 16 | 8 | 0 | 140 | |||||||||||||||||
FMSN45 | 7.5 | A | BME, C, D, E, F, I, Pi | X | E | Mathematical Statistics, Time Series Analysis | KS KE U W T | 26 | 12 | 12 | 5 | 120 | |||||||||||||||||
FMSN20 | 7.5 | A | BME, C, D, E, F, Pi | X | E | Spatial Statistics with Image Analysis | KS KE U W T | 28 | 0 | 21 | 4 | 120 | |||||||||||||||||
FMSF60 | 7.5 | G2 | BME, C, Pi, RH | - | E1 | Statistical Methods for Safety Analysis | KS KE U W T | 28 | 14 | 12 | 0 | 120 | |||||||||||||||||
FMSN15 | 7.5 | A | F, I, Pi | X | E | Statistical Modelling of Multivariate Extreme Values | X | KS KE U W T | 28 | 14 | 9 | 1 | 120 | ||||||||||||||||
FMSN50 | 7.5 | A | BME, D, F, I, Pi | X | E | Monte Carlo and Empirical Methods for Stochastic Inference | KS KE U W T | 26 | 0 | 14 | 5 | 120 | |||||||||||||||||
FMSF05 | 7.5 | G2 | BME, F, I, Pi | X | E | Probability Theory | KS KE U W T | 26 | 14 | 0 | 0 | 160 | |||||||||||||||||
FMSN35 | 7.5 | A | BME, C, D, E, F, I, Pi | X | E | Stationary and Non-stationary Spectral Analysis | X | KS KE U W T | 18 | 0 | 0 | 5 | 170 | ||||||||||||||||
FMSF65 | 7.5 | G2 | BME, D, E, F, MLIV, MWIR, N, Pi, W | X | E | Design of Experiments | KS KE U W T | 14 | 14 | 14 | 1 | 150 | |||||||||||||||||
FMSN30 | 7.5 | A | BME, D, F, I, L, Pi | X | E | Linear and Logistic Regression | X | KS KE U W T | 24 | 0 | 26 | 2 | 120 | ||||||||||||||||
FMSN40 | 9 | A | I | X | E | Linear and Logistic Regression with Data Gathering | X | KS KE U W T | 26 | 0 | 30 | 5 | 120 | ||||||||||||||||
FMSF55 | 7.5 | G2 | C, M | - | S | Mathematical Statistics, Basic Course | KS KE U W T | 26 | 16 | 8 | 0 | 140 | |||||||||||||||||
FMSN55 | 7.5 | A | D, F, I, Pi | X | E | Statistical Modelling of Extreme Values | KS KE U W T | 28 | 14 | 9 | 1 | 120 |
FMSF25 (V) Mathematical Statistics - Complementary Project: Only one of the courses FMSF25 and FMSF50 may be included in a degree.
FMSN15 (F, I, Pi) Statistical Modelling of Multivariate Extreme Values: The course is offered every other academic year and will be given in 2019/20, 2021/22.
FMSN35 (BME, C, D, E, F, I, Pi) Stationary and Non-stationary Spectral Analysis: The course is offered every other academic year and will be given in 2019/20, 2021/22.
Mathematics
Course Code | Credits | Cycle | Programme | S.Ex. stud. | Language | Course Name | Footnote | Links | 19/20 sp1 |
19/20 sp2 |
19/20 sp3 |
19/20 sp4 |
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F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | ||||||||||
FMAB30 | 6 | G1 | B, BI, BME, C, D, IDA, IEA, K, L, N, V, W | - | S | Calculus in Several Variables | X | KS KE U W T | 44 | 16 | 2 | 0 | 100 | ||||||||||||||||
FMAB30 | F, I, IBYA, IBYI, IBYV | X | 44 | 16 | 2 | 0 | 100 | ||||||||||||||||||||||
FMAB30 | E, M, MD | 44 | 16 | 2 | 0 | 100 | |||||||||||||||||||||||
FMAN20 | 7.5 | A | BME, C, D, E, F, L, Pi | X | E1 | Image Analysis | KS KE U W T | 32 | 0 | 0 | 2 | 166 | |||||||||||||||||
FMAA60 | 7.5 | G1 | C, D, F, I, M, MD, N, Pi, W | - | S | Introduction to Real Analysis | KS KE U W T | 26 | 0 | 0 | 0 | 174 | |||||||||||||||||
FMAA05 | 15 | G1 | BI | - | S | Calculus in One Variable | KS KE U W T | 50 | 30 | 0 | 0 | 133 | 50 | 30 | 0 | 0 | 107 | ||||||||||||
FMAA05 | B, C, D, E, F, I, K, L, N, Pi, V, W | 50 | 30 | 0 | 0 | 133 | 50 | 30 | 0 | 0 | 107 | ||||||||||||||||||
FMAN80 | 7.5 | A | F, Pi | X | E1 | Functional Analysis and Harmonic Analysis | KS KE U W T | 20 | 10 | 0 | 0 | 108 | 8 | 4 | 0 | 0 | 50 | ||||||||||||
FMAN70 | 6 | A | BME, C, D, E, F, I, Pi | X | E1 | Matrix Theory | KS KE U W T | 18 | 10 | 0 | 1 | 56 | 12 | 4 | 0 | 1 | 58 | ||||||||||||
FMAN15 | 7.5 | A | D, F, Pi | X | E | Nonlinear Dynamical Systems | KS KE U W T | 16 | 6 | 0 | 0 | 78 | 14 | 8 | 0 | 0 | 78 | ||||||||||||
FMAA50 | 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, M, MD | - | S | Calculus in One Variable | KS KE U W T | 30 | 20 | 0 | 0 | 83 | 36 | 20 | 0 | 0 | 77 | 36 | 20 | 0 | 0 | 77 | |||||||
FMAA30 | 4.5 | G1 | Pi | - | S | Mathematical Communication | KS KE U W T | 10 | 8 | 0 | 1 | 12 | 6 | 2 | 0 | 1 | 8 | 2 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 4 | 60 | ||
FMAB20 | 6 | G1 | F, Pi | - | S | Linear Algebra | KS KE U W T | 40 | 16 | 0 | 0 | 106 | |||||||||||||||||
FMAB20 | I, M, MD | 40 | 16 | 0 | 0 | 106 | |||||||||||||||||||||||
FMAB20 | BI, C, E, L, N, V | X | 40 | 16 | 0 | 0 | 106 | ||||||||||||||||||||||
FMAB20 | BME, D | 40 | 16 | 0 | 0 | 106 | |||||||||||||||||||||||
FMAF01 | 7 | G2 | BME, F, M, N, Pi | - | E1 | Mathematics - Analytic Functions | KS KE U W T | 42 | 24 | 0 | 1 | 128 | |||||||||||||||||
FMAF01 | BME, C, D, E, I, M | X | 42 | 24 | 0 | 1 | 128 | ||||||||||||||||||||||
FMAA25 | 7.5 | G1 | BME, C, D, E, F, Pi | X | E1 | Discrete Mathematics | KS KE U W T | 54 | 0 | 0 | 2 | 144 | |||||||||||||||||
FMAA25 | BME, C, D, E, F, Pi | 54 | 0 | 0 | 2 | 144 | |||||||||||||||||||||||
FMAA10 | 3 | G1 | Pi | - | S | Mathematical Modelling | X | KS KE U W T | 6 | 0 | 0 | 2 | 72 | ||||||||||||||||
FMAN30 | 7.5 | A | BME, C, D, E, F, Pi | X | E1 | Medical Image Analysis | KS KE U W T | 32 | 0 | 0 | 3 | 165 | |||||||||||||||||
FMAN60 | 6 | A | BME, D, E, F, I, M, Pi | X | E1 | Optimization | X | KS KE U W T | 32 | 14 | 4 | 1 | 109 | ||||||||||||||||
FMAN40 | 3 | A | BME, C, D, E, F, Pi | X | E1 | Project in Applied Mathematics | KS KE U W T | 0 | 0 | 0 | 10 | 70 | |||||||||||||||||
FMAN40 | BME, C, D, E, F, Pi | 0 | 0 | 0 | 10 | 70 | |||||||||||||||||||||||
FMAF05 | 7 | G2 | BME, F, M, N, Pi | - | E1 | Mathematics - Systems and Transforms | KS KE U W T | 40 | 16 | 0 | 1 | 130 | |||||||||||||||||
FMAF05 | BME, C, D, E, I, M | X | 40 | 16 | 0 | 1 | 130 | ||||||||||||||||||||||
FMAN35 | 3 | A | D, E, F, Pi | X | E1 | Project in Mathematics | KS KE U W T | 0 | 0 | 0 | 10 | 70 | |||||||||||||||||
FMAN35 | D, E, F, Pi | 0 | 0 | 0 | 10 | 70 | |||||||||||||||||||||||
FMAN10 | 7.5 | A | C, D, F, Pi | X | E1 | Algebraic Structures | KS KE U W T | 28 | 10 | 0 | 0 | 162 | |||||||||||||||||
FMAF10 | 5 | G2 | B, BME, C, D, K, L, M, W | - | S | Applied Mathematics - Linear systems | X | KS KE U W T | 26 | 10 | 4 | 0 | 93 | ||||||||||||||||
FMAN85 | 6 | A | BME, C, D, E, F, Pi | X | E1 | Computer Vision | KS KE U W T | 26 | 0 | 0 | 2 | 132 | |||||||||||||||||
FMAA20 | 7.5 | G1 | B, K, W | - | S | Linear Algebra with Introduction to Computer Tools | KS KE U W T | 48 | 24 | 0 | 0 | 130 | |||||||||||||||||
FMAF35 | 6 | G2 | BME, C, D, E, F, Pi | X | E1 | Linear and Combinatorial Optimization | KS KE U W T | 26 | 0 | 4 | 1 | 130 | |||||||||||||||||
FMAN65 | 6 | A | D, F, Pi | - | S | Mathematical Structures | KS KE U W T | 28 | 14 | 0 | 0 | 118 | |||||||||||||||||
FMAN55 | 7.5 | A | E | - | S | Applied Mathematics | KS KE U W T | 24 | 12 | 2 | 0 | 62 | 22 | 14 | 2 | 0 | 62 | ||||||||||||
FMAN55 | D, F, M, Pi | 24 | 12 | 2 | 0 | 62 | 22 | 14 | 2 | 0 | 62 | ||||||||||||||||||
FMAN01 | 7.5 | A | E, F, Pi | X | E1 | Biomathematics | X | KS KE U W T | 14 | 6 | 0 | 1 | 79 | 14 | 6 | 0 | 1 | 79 | |||||||||||
FMAB35 | 7.5 | G1 | Pi | - | S | Calculus in Several Variables | KS KE U W T | 44 | 16 | 2 | 0 | 100 | 8 | 6 | 0 | 0 | 26 | ||||||||||||
FMAN25 | 7.5 | A | D, E, F, Pi | X | E1 | Calculus of Variations | KS KE U W T | 18 | 0 | 0 | 0 | 82 | 16 | 0 | 0 | 0 | 84 | ||||||||||||
FMAN90 | 7.5 | A | F | X | E1 | Advanced Course in a Selected Area of Mathematics | KS KE U W T | 28 | 0 | 0 | 1 | 171 | |||||||||||||||||
FMAN90 | D, Pi | 28 | 0 | 0 | 1 | 171 | |||||||||||||||||||||||
FMAN50 | 3 | A | Pi | - | E | International Project Course - Mathematical Modelling | X | KS KE U W T | 0 | 0 | 0 | 10 | 40 | ||||||||||||||||
FMAN45 | 7.5 | A | BME, D, E, F, I, Pi | - | E | Machine Learning | KS KE U W T | 28 | 0 | 0 | 2 | 170 | |||||||||||||||||
FMAF25 | 3 | G2 | Pi | - | S | Mathematical Modelling with Statistical Applications, Project | KS KE U W T | 18 | 0 | 0 | 3 | 59 | |||||||||||||||||
FMAA55 | 4.5 | G1 | IBYA, IBYI, IBYV, IDA, IEA | - | S | Mathematics, Linear Algebra | KS KE U W T | 28 | 26 | 0 | 0 | 66 |
FMAB30 (IBYA, IBYI, IBYV) Calculus in Several Variables: The course will be held in Lund
FMAB30 (IDA, IEA) Calculus in Several Variables: The course will be held in Lund.
FMAB30 (IDA, IEA) Calculus in Several Variables: The course will be held in Lund.
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.
FMAN60 (I) Optimization: Compulsory course in the elective block ‘Mathematical Modelling’ for students admitted autumn 2015. The course is also an optional programme course.
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.
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.
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.
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.
Numerical Analysis
Course Code | Credits | Cycle | Programme | S.Ex. stud. | Language | Course Name | Footnote | Links | 19/20 sp1 |
19/20 sp2 |
19/20 sp3 |
19/20 sp4 |
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F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | ||||||||||
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 | 0 | 3 | 169 | |||||||||||||||||
FMNN01 | 7.5 | A | BME, F, Pi | X | E | Numerical Linear Algebra | KS KE U W T | 36 | 0 | 0 | 6 | 160 | |||||||||||||||||
FMNN10 | 8 | A | BME, F, I, Pi | X | E1 | Numerical Methods for Differential Equations | KS KE U W T | 48 | 0 | 0 | 3 | 160 | |||||||||||||||||
FMNF15 | 6 | G2 | V | - | S | Scientific Computing | KS KE U W T | 24 | 0 | 26 | 1 | 69 | 2 | 0 | 10 | 1 | 27 | ||||||||||||
FMNF05 | 6 | G2 | D | X | E1 | Numerical Analysis | KS KE U W T | 48 | 12 | 0 | 3 | 100 | |||||||||||||||||
FMNF05 | C | 48 | 12 | 0 | 3 | 100 | |||||||||||||||||||||||
FMNN05 | 7.5 | A | D, F, Pi | X | E1 | Simulation Tools | KS KE U W T | 28 | 0 | 0 | 3 | 169 | |||||||||||||||||
FMNN30 | 7.5 | A | F, Pi | X | E | Iterative Solution of Large Scale Systems in Scientific Computing | X | KS KE U W T | 26 | 6 | 0 | 0 | 168 | ||||||||||||||||
FMNF10 | 6 | G2 | BME, E, I, M, N | X | E1 | Numerical Analysis | X | KS KE U W T | 48 | 10 | 0 | 3 | 100 |
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.
Course Code | Credits | Programme | Course Name | Links |
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FMSL01 | 15 | C, D, E, F, I, Pi | Bachelor Project in Mathematical Statistics | KS KE U W |
FMAL01 | 15 | C, D, E, F, Pi | Bachelor Project in Mathematics | KS KE U |
FMNL01 | 15 | D, E, F, Pi | Bachelor Project in Numerical Analysis | KS KE U W |
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 | Course Name | Links |
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FMSM01 | 30 | BME, C, D, E, F, I, Pi, RH | Degree Project in Mathematical Statistics for Engineers | KS KE U W |
FMAM05 | 30 | BME, C, D, E, F, I, M, Pi | Degree Project in Mathematics for Engineers | KS KE U |
FMNM01 | 30 | D, E, F, I, Pi | Degree Project in Numerical Analysis | KS KE U W |