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Course Offerings, Autumn Semester

 

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

MATB24Linear Analysis, 7.5 crUpper basicP1,  50%
MATB25Discrete Mathematics, 7.5 crUpper basicP2,  50%
MATC12Ordinary Differential Equations 1, 7.5 crUpper basicP2,  50%
MATC20Image Analysis, 7.5 crUpper basicP1,  50%
MATC61Optimization, 7.5 crUpper basicP2,  50%
MATC70Matrix Theory, 7.5 crUpper basicwhole semester,  25%
MATM12Analytic Functions, 15 crAdvancedwhole semester  50%
MATM30Mathematical Foundations of Probability , 7.5 crAdvancedP2, 50%
MATM33Differential Geometry, 7.5 crAdvancedP1, 50%
MATM35Number Theory, 7.5 crAdvancedP1, 50%
MATM41Galois Theory, 7.5 crAdvancedP1, 50%
MATP35Linear Functional Analysis, 7.5 crAdvancedwhole semester, 25%
MATP43Representation Theory for Quivers and Algebras, 7.5 crAdvancedP2, 50%
MATP45Specialised Course in Linear Functional Analysis, 7.5 crAdvancedwhole semester, 25%

Code

Course name, credits

Level

Period, study pace

MASC13Markov Processes, 7.5 crUpper basicP1, 50%
MASC14 Stationary Stochastic Processes, 7.5 crUpper basicP1, 50%
MASM12Non-linear Time Series Analysis, 7.5 crAdvancedwhole semester, 25%
MASM17 Time Series Analysis, 7.5 crAdvancedP2, 50%
MASM18Financial Statistics, 7.5 crAdvancedP2, 50%
MASM24 Valuation of Derivative Assets, 7.5 crAdvancedP1, 50%
MASM25 Spatial Statistics with Image Analysis, 7,5 hp AdvancedP2, 50%
MASM33  Quantitative Risk Management Using Copulas, 7.5 crAdvancedP1, 50%

Code

Course name, credits

Level

Period, study pace

NUMA01Computational Programming with Python, 7.5 crBasicP2, 50%
NUMA41Numerical Analysis, Basic Course, 7.5 crUpper basicP2, 50%
NUMB11Numerical Linear Algebra, 7.5 crUpper basicP1, 50%
NUMN21Adv. Course in Numerical Algorithms, Python/SciPy, 7.5 crAdvancedP1, 50%
NUMN32Numerical Methods for Differential Equations, 7.5 cr AdvancedP2, 50%
BERN01Modelling in Computational Science, 7.5 crAdvancedP1, 50%