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Course Offerings, Spring Semester 2024

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

MATA21Analysis in One Variable, 15 crBasicwhole semester, 50%
MATA22Linear Algebra 1, 7.5 crBasicP1, 50%
MATA23Foundations of Algebra, 7.5 crBasicP2, 50%
MATB21Analysis in Several Variables 1, 7.5 cr

Upper basic

P1,  50%
MATB22Linear Algebra 2, 7.5 crUpper basicP1,  50%
MATB23Analysis in Several Variables 2, 7.5 crUpper basicP2,  50%
MATB24Linear Analysis, 7.5 crUpper basicP1,  50%
MATB25Discrete Mathematics, 7.5 crUpper basicP1,  50%
MATC25Calculus of Variations, 7.5 crUpper basicwhole semester, 25%
MATM20Mathematical modelling, 7.5 crAdvancedP2,  50%
MATM31Algebraic Structures, 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%
MATM44Introduction to Algebraic Topology, 7.5 crAdvancedwhole semester,  25%
MATM48Fourier Analysis, 7.5 crAdvancedP2,  50%
MATP33Group and Ring Theory, 7.5 crAdvancedP2,  50%
MATP36Partial Differential Equations, 7.5 crAdvancedP2,  50%
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%
MASC02Statistical Inference Theory,, 7.5 crUpper basicP2, 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%

Code

Course name, credits

Level

Period, study pace

NUMA01Computational Programming with Python, 7.5 crBasicP2, 50%
NUMN26Simulation Tools, 7.5 crAdvancedP1, 50%
NUMN27 Numerical Analysis: Seminar Course, 7.5 crAdvancedP2, 50%
NUMN28Numerical Simulations of Flow Problems, 7.5 crAdvancedP2, 50%