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Course Offerings, Spring Semester 2025

All courses in mathematics, mathematical statistics and numerical analysis given at the Faculty of Science, that can be included in Bachelor's degree are listed below.

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 semester.

Code

Course name, credits

Level

Period, study pace

MATA31Analysis in One Variable, 15 crBasicwhole semester, 50%, Swedish
MATA32Algebra and Vector Geometry, 7.5 crBasicP1, 50%, Swedish
MATB21Analysis in Several Variables 1, 7.5 cr

Upper basic

P1,  50%
MATB23Analysis in Several Variables 2, 7.5 crUpper basicP2,  50%
MATB24Linear Analysis, 7.5 crUpper basicP1,  50%
MATB32Linear Algebra, 7.5 crUpper basicP1,  50%
MATB33Introduction to Higher Analysis, 7.5 crUpper basicP1,  50%
MATC25Calculus of Variations, 7.5 crUpper basicwhole semester, 25%
MATC31Algebraic Structures, 7.5 crUpper basicP2,  50%
MATM20Mathematical modelling, 7.5 crAdvancedP2,  50%
MATM36Topology, 7.5 crAdvancedP1,  50%
MATM37Ordinary Differential Equations 2, 7.5 crAdvancedP1,  50%
MATM39Integration Theory, 7.5 crAdvancedP1,  50%
MATM43Specialised Course in Differential Geometry, 7.5 crAdvancedwhole semester,  25%
MATM38Fourier Analysis, 7.5 crAdvancedP2,  50%
MATP31Distribution Theory, 7.5 crAdvancedwhole semester,  25%
MATP39Specialised Course in Integration Theory, 7.5 crAdvancedP2,  50%

Code

Course name, credits

Level

Period, study pace

MASC01 Probability Theory, 7.5 crUpper basicP1, 50%
MASC05 Design of Experiments, 7.5 cr Upper basicP2, 50%
MASM11Monte Carlo Methods for Statistical Inference,  7.5 crAdvancedP1, 50%
MASM15 Statistical Modelling of Extreme Values, 7.5 crAdvancedP2, 50%
MASM22  Linear and Logistic Regression, 7.5 crAdvancedP2, 50%
MASM26 Stationary and non-stationary Spectral Analysis, 7.5 cr AdvancedP1, 50%
MASM27 Non-parametric Inference, 7.5 cr AdvancedP1, 50%

Code

Course name, credits

Level

Period, study pace

NUMA01Computational Programming with Python, 7.5 crBasicP2, 50%
NUMN26Simulation Tools, 7.5 crAdvancedP1, 50%
NUMN28Numerical Simulations of Flow Problems, 7.5 crAdvancedP2, 50%
NUMN33 Numerical Methods for Partial Differential Equations, 7.5 crAdvancedP1, 50%
BERN07 Uncertainty Quantification and Data-driven Modelling, 7.5 crAdvancedP2, 50%