Courses given 2019/20 by Centre of 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 


FMSF35  4  G2  IEA    S  Basic Probability Theory  KS KE U W T  1  
FMSF15  7.5  G2  BME, C, D, E, F, I, Pi  X  E  Markov Processes  KS KE U W T  1  
FMSF30  5  G2  IBYA, IBYI, IBYV    S  Mathematical Statistics  KS KE U W T  1  
FMSF70  7.5  G2  B, BME, K, N    S  Mathematical Statistics  KS KE U W T  1  
FMSF75  7.5  G2  W    S  Mathematical Statistics, Basic Course  KS KE U W T  1  
FMSF40  7.5  G2  IDA    S  Probability Theory and Discrete Mathematics  KS KE U W T  1  
FMSF10  7.5  G2  BME, C, D, E, F, I, M, MWIR, Pi  X  E  Stationary Stochastic Processes  KS KE U W T  1  
FMSN25  7.5  A  F, I, Pi  X  E  Valuation of Derivative Assets  KS KE U W T  1  
FMSF45  9  G2  I, Pi    S  Mathematical Statistics, Basic Course  KS KE U W T  1  2  
FMSF45  F  3  4  
FMSN60  7.5  A  F, I, Pi  X  E  Financial Statistics  KS KE U W T  2  
FMSF25  2.5  G2  V    S  Mathematical Statistics  Complementary Project  X  KS KE U W T  2  
FMSF25  V  X  4  
FMSF20  7.5  G2  D, E    S  Mathematical Statistics, Basic Course  KS KE U W T  2  
FMSF50  7.5  G2  L, V    S  Mathematical Statistics, Basic Course  KS KE U W T  2  
FMSN45  7.5  A  BME, C, D, E, F, I, Pi  X  E  Mathematical Statistics, Time Series Analysis  KS KE U W T  2  
FMSN20  7.5  A  BME, C, D, E, F, Pi  X  E  Spatial Statistics with Image Analysis  KS KE U W T  2  
FMSF60  7.5  G2  BME, C, Pi, RH    E1  Statistical Methods for Safety Analysis  KS KE U W T  2  
FMSN15  7.5  A  F, I, Pi  X  E  Statistical Modelling of Multivariate Extreme Values  X  KS KE U W T  2  
FMSN50  7.5  A  BME, D, F, I, Pi  X  E  Monte Carlo and Empirical Methods for Stochastic Inference  KS KE U W T  3  
FMSF05  7.5  G2  BME, F, I, Pi  X  E  Probability Theory  KS KE U W T  3  
FMSN35  7.5  A  BME, C, D, E, F, I, Pi  X  E  Stationary and Nonstationary Spectral Analysis  X  KS KE U W T  3  
FMSF65  7.5  G2  BME, D, E, F, MLIV, MWIR, N, Pi, W  X  E  Design of Experiments  KS KE U W T  4  
FMSN30  7.5  A  BME, D, F, I, L, Pi  X  E  Linear and Logistic Regression  X  KS KE U W T  4  
FMSN40  9  A  I  X  E  Linear and Logistic Regression with Data Gathering  X  KS KE U W T  4  
FMSF55  7.5  G2  C, M    S  Mathematical Statistics, Basic Course  KS KE U W T  4  
FMSN55  7.5  A  D, F, I, Pi  X  E  Statistical Modelling of Extreme Values  KS KE U W T  4 
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 Nonstationary 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 


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  1  
FMAB30  F, I, IBYA, IBYI, IBYV  X  3  
FMAB30  E, M, MD  4  
FMAN20  7.5  A  BME, C, D, E, F, L, Pi  X  E1  Image Analysis  KS KE U W T  1  
FMAA60  7.5  G1  C, D, F, I, M, MD, N, Pi, W    S  Introduction to Real Analysis  KS KE U W T  1  
FMAA05  15  G1  F    S  Calculus in One Variable  KS KE U W T  1  2  
FMAA05  B, BI, C, D, E, I, K, L, N, Pi, V, W  1  2  
FMAN80  7.5  A  Pi  X  E1  Functional Analysis and Harmonic Analysis  KS KE U W T  1  2  
FMAN80  F  1  2  
FMAN70  6  A  F  X  E1  Matrix Theory  KS KE U W T  1  2  
FMAN70  D  1  2  
FMAN70  BME, C, E, I, Pi  1  2  
FMAN15  7.5  A  Pi  X  E  Nonlinear Dynamical Systems  KS KE U W T  1  2  
FMAN15  F  1  2  
FMAN15  D  1  2  
FMAA50  13.5  G1  IBYI    S  Calculus  KS KE U W T  1  2  3  
FMAA50  IBYA, IBYV, IDA, IEA  1  2  3  
FMAA01  15  G1  MD    S  Calculus in One Variable  KS KE U W T  1  2  3  
FMAA01  BME, M  1  2  3  
FMAA30  4.5  G1  Pi    S  Mathematical Communication  KS KE U W T  1  2  3  4  
FMAB20  6  G1  F, Pi    S  Linear Algebra  KS KE U W T  1  
FMAB20  I, M, MD  2  
FMAB20  BI, C, E, L, N, V  X  3  
FMAB20  BME, D  4  
FMAF01  7  G2  BME, F, M, N, Pi    E1  Mathematics  Analytic Functions  KS KE U W T  1  
FMAF01  BME, C, D, E, I, M  X  3  
FMAA25  7.5  G1  BME, C, D, E, F, Pi  X  E1  Discrete Mathematics  KS KE U W T  2  
FMAA25  BME, C, D, E, F, Pi  4  
FMAA10  3  G1  Pi    S  Mathematical Modelling  X  KS KE U W T  2  
FMAN30  7.5  A  BME, C, D, E, F, Pi  X  E1  Medical Image Analysis  KS KE U W T  2  
FMAN60  6  A  BME, D, E, F, I, M, Pi  X  E1  Optimization  X  KS KE U W T  2  
FMAN40  3  A  BME, C, D, E, F, Pi  X  E1  Project in Applied Mathematics  KS KE U W T  2  
FMAN40  BME, C, D, E, F, Pi  4  
FMAF05  7  G2  BME, F, M, N, Pi    E1  Mathematics  Systems and Transforms  KS KE U W T  2  
FMAF05  BME, C, D, E, I, M  X  4  
FMAN35  3  A  D, E, F, Pi  X  E1  Project in Mathematics  KS KE U W T  2  
FMAN35  D, E, F, Pi  4  
FMAN10  7.5  A  C, D, F, Pi  X  E1  Algebraic Structures  KS KE U W T  3  
FMAF10  5  G2  B, BME, C, D, K, L, M, W    S  Applied Mathematics  Linear systems  X  KS KE U W T  3  
FMAN85  6  A  BME, C, D, E, F, Pi  X  E1  Computer Vision  KS KE U W T  3  
FMAA20  7.5  G1  B, K, W    S  Linear Algebra with Introduction to Computer Tools  KS KE U W T  3  
FMAF35  6  G2  BME, C, D, E, F, Pi  X  E1  Linear and Combinatorial Optimization  KS KE U W T  3  
FMAN65  6  A  D, F, Pi    S  Mathematical Structures  KS KE U W T  3  
FMAN55  7.5  A  E, M, Pi    S  Applied Mathematics  KS KE U W T  3  4  
FMAN55  D, F  3  4  
FMAN01  7.5  A  F  X  E1  Biomathematics  X  KS KE U W T  3  4  
FMAN01  E, Pi  X  3  4  
FMAB35  7.5  G1  Pi    S  Calculus in Several Variables  KS KE U W T  3  4  
FMAN25  7.5  A  E, Pi  X  E1  Calculus of Variations  KS KE U W T  3  4  
FMAN25  D, F  3  4  
FMAN90  7.5  A  D, F, Pi  X  E1  Advanced Course in a Selected Area of Mathematics  KS KE U W T  4  
FMAN50  3  A  Pi    E  International Project Course  Mathematical Modelling  X  KS KE U W T  4  
FMAN45  7.5  A  BME, D, E, F, I, Pi    E  Machine Learning  KS KE U W T  4  
FMAF25  3  G2  Pi    S  Mathematical Modelling with Statistical Applications, Project  KS KE U W T  4  
FMAA55  4.5  G1  IBYA, IBYI, IBYV, IDA, IEA    S  Mathematics, Linear Algebra  KS KE U W T  4 
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 


FMNN25  7.5  A  D, E, F, Pi  X  E1  Advanced Course in Numerical Algorithms with Python/SciPy  KS KE U W T  1  
FMNN01  7.5  A  BME, F, Pi  X  E  Numerical Linear Algebra  KS KE U W T  1  
FMNN10  8  A  BME, F, I, Pi  X  E1  Numerical Methods for Differential Equations  KS KE U W T  2  
FMNF15  6  G2  V    S  Scientific Computing  KS KE U W T  2  3  
FMNF05  6  G2  C, D  X  E1  Numerical Analysis  KS KE U W T  3  
FMNN05  7.5  A  D, F, Pi  X  E1  Simulation Tools  KS KE U W T  3  
FMNN30  7.5  A  F, Pi  X  E  Iterative Solution of Large Scale Systems in Scientific Computing  X  KS KE U W T  4  
FMNF10  6  G2  BME, E, I, M, N  X  E1  Numerical Analysis  X  KS KE U W T  4 
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 

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 

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 