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Courses in the Mathematical Disciplines

Faculty of Science

 

Courses at upper-basic and advanced level in mathematics, mathematical statistics and numerical analysis given in English at the Faculty of Science are listed below. Please note that courses at upper-basic level comprising at most 30 credits can be included as elective courses in a master's degree.

The links in the tables below open either the corresponding course website in the Canvas platform, which is the learning management system at Lund University, or the official course syllabus.

The abreviations P1 and P2 refer to the first respectively to the second half of the Spring or Autumn term.

Mathematics

Course code

Course name, credits

Term, period, study pace

MATB24Linear Analysis, 7.5 crSpring P1, Autumn P1,  50%
MATB25Discrete Mathematics, 7.5 crAutumn P2,  50%
MATC12Ordinary Differential Equations 1, 7.5 crAutumn P2,  50%
MATC20Image Analysis, 7.5 crAutumn P1,  50%
MATC25Calculus of Variations, 7.5 crSpring,  25%
MATC31Algebraic Structures, 7.5 crSpring P2,  50%
MATC61Optimization, 7.5 crAutumn P2,  50%
MATC70Matrix Theory, 7.5 crAutumn,  25%

Course code

Course name, credits

Term, period, study pace

MATM12Analytic Functions, 15 crAutumn,  50%
MATM20Mathematical modelling, 7.5 crSpring P2, 50%
MATM30Mathematical Foundations of Probability , 7.5 crAutumn P2, 50%
MATM33Differential Geometry, 7.5 crAutumn P1, 50%
MATM35Number Theory, 7.5 crAutumn P2, 50%
MATM36Topology, 7.5 crSpring P1, 50%
MATM37Ordinary Differential Equations 2, 7.5 cr

Spring P1, 50%

MATM38Fourier Analysis, 7.5 crSpring P2, 50%
MATM39Integration Theory, 7.5 crSpring P1, 50%
MATM41Galois Theory, 7.5 crAutumn P1, 50%
MATM43Specialised Course in Differential Geometry, 7.5 crSpring, 25%
MATM44Introduction to Algebraic Topology, 7.5 crSpring, 25%, even years
MATM45Analytic Number Theory, 7.5 crAutumn P2, 50%, tba
MATM46Representation Theory, 7.5 crAutumn P2, 50%, even years
MATP31Distribution Theory, 7.5 crSpring, 25%, odd years
MATP32Harmonic Analysis, 7.5 crAutumn P1, 50%, even years
MATP33Group and Ring Theory, 7.5 crAutumn P1, 50%
MATP35Linear Functional Analysis, 7.5 crAutumn, 25%
MATP36Partial Differential Equations, 7.5 cr

Spring P2, 50%, even years

MATP39Specialised Course in Integration Theory, 7.5 crSpring P2, 50%
MATP45Specialised Course in Linear Functional Analysis, 7.5 crAutumn, 25%

Mathematical Statistics

Course code

Course name, credits

Term, period, study pace

MASC01 Probability Theory, 7.5 crSpring P1, 50%
MASC02Statistical Inference Theory,, 7.5 crSpring P2, 50%, even years

MASC05

Design of Experiments, 7.5 cr 

Spring P2, 50%

MASC13Markov Processes, 7.5 crAutumn P1, 50%
MASC14 Stationary Stochastic Processes, 7.5 crAutumn P1, 50%

Course code

Course name, credits

Term, period, study pace

MASM11Monte Carlo Methods for Statistical Inference,  7.5 crSpring P1, 50%
MASM12Non-linear Time Series Analysis, 7.5 crAutumn, 25%, odd years
MASM15 Statistical Modelling of Extreme Values, 7.5 crSpring P2, 50%
MASM17 Time Series Analysis, 7.5 crAutumn P2, 50%
MASM18Financial Statistics, 7.5 crAutumn P2, 50%
MASM22  Linear and Logistic Regression, 7.5 crSpring P2, 50%
MASM25 Spatial Statistics with Image Analysis, 7,5 hp Autumn P2, 50%
MASM26 Stationary and non-stationary Spectral Analysis, 7.5 cr Spring P1, 50%, even years
MASM27Nonparametric Inference, 7.5 cr Spring P1, 50% odd years
MASM33  Quantitative Risk Management Using Copulas, 7.5 crAutumn P1, 50% odd years
MASM34 Valuation of Derivative Assets, 7.5 crAutumn P1, 50%

 

Numerical Analysis and Computational Science

Course code

Course name, credits

Term, period, study pace

NUMA01Computational Programming with Python, 7.5 crAutumn P2, Spring P2, 50%
NUMA41Numerical Analysis, Basic Course, 7.5 crAutumn P2, 50%
NUMB11Numerical Linear Algebra, 7.5 crAutumn P1, 50%

Course code

Course name, credits

Term, period, study pace

NUMN21Advanced Course in Numerical Algorithms with Python/SciPy, 7.5 crAutumn P1, 50%
NUMN26Simulation Tools, 7.5 crSpring P1, 50%
NUMN27 Numerical Analysis: Seminar Course, 7.5 crAutumn P1, 50%
NUMN28Numerical Simulations of Flow Problems, 7.5 crAutumn P2, 50%
NUMN32Numerical Methods for Differential Equations, 7.5 cr Autumn P2, 50%
NUMN33Numerical Methods for Partial Differential Equations, 7.5 cr Spring P1, 50%
BERN01Modelling in Computational Science, 7.5 crAutumn P1, 50%
BERN07Uncertainty Quantification and Data-driven Modelling, 7.5 crSpring P2, 50%