MASTER´S LEVELS COURSES

These are our advanced courses in the subject

Title
Data-driven inference for stochastic dynamics	7.5 ECTS credits
Differential Geometry	7.5 ECTS credits
Digital Tools in Mathematics Education	7.5 ECTS credits
Degree project, Secondary education - Mathematics and Mathematics Teaching	15.0 ECTS credits
Degree Project Primary Education - Mathematics	30.0 ECTS credits
Magister Thesis in Mathematics	15.0 ECTS credits
Master Thesis in Mathematics	30.0 ECTS credits
Fourier Series and Approximations	7.5 ECTS credits
Functional Analysis	7.5 ECTS credits
Function Spaces I	7.5 ECTS credits
Geometry Including Project	7.5 ECTS credits
Homogenization: multiscale modeling, analysis and simulation	7.5 ECTS credits
Non-linear optimization with applications	7.5 ECTS credits
Kinetic Theory	7.5 ECTS credits
Applied cognitive science in teaching for grades 4-6	7.5 ECTS credits
Advances in Continuum Modeling	7.5 ECTS credits
Mathematics and Mathematics Teaching IV	7.5 ECTS credits
Mathematics and Mathematics Teaching V	22.5 ECTS credits
Mathematical methods of modern statistics and simulation	7.5 ECTS credits
Measure and Integration Theory	7.5 ECTS credits
New research in mathematics education	7.5 ECTS credits
Ordinary Differential Equations	7.5 ECTS credits
Partial Differential Equations and the Finite Element Method	7.5 ECTS credits
Practical Placement in Mathematics	7.5 ECTS credits
Degree Project (Master) in Subject-Specific Education	15.0 ECTS credits
Stochastic differential equations and data-driven modeling	7.5 ECTS credits
Applied Probability	7.5 ECTS credits
Practical placement III - grades 4-6	15.0 ECTS credits
Research methods II - Methods for data generation	7.5 ECTS credits
Research methods III - Methods for data analysis	7.5 ECTS credits