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Courses

The PhD programs offers a large selection of courses at PhD level, Advanced level as well as joint faculty courses.

The advanced level courses are taken together with students on master's programs within LTH and the Faculty of Science.

Many of our courses at postgraduate level are given if there is sufficient demand, how to register interest in a course and when it is planned to be given, you can see on the course page.

Faculty-wide courses can be found on PhD Website LTH

 

PhD studies in Mathematics at LTH, Faculty of Engineeringcourse codeCredits

Introductory Workshop for Newly Admitted PhD Students at LTH

GEM056F2,0
Research EthicsGEM090F3,0
   

PhD studies in Matematics at the Faculty of Science 

  
Introduction course for PhD students at the Faculty of Science 0,5
Introduction course for PhD students in Mathematics   
Research EthicsNMN001F3,0

Teaching and Learning in Higher Education 

 3, 0
   

 

CourseCourse CodeCreditsContact/LecturerGiven
Ergodic Theorems and Applications 7,5Jörg SchmelingAutumn
Algebraic geometry and solving polynomial systemsFMA150F7,5Magnus Oskarsson, Anna Torstensson and Kalle ÅströmLp1

Advanced Topics in Learning-based Computer Vision

FMA325F7,5Viktor Larsson and Magnus OskarssonLp2
Quasiconformal maps 7,5Magnus AspenbergSpring

Mathematics Education from a University Perspective

FMA026F7,5Kristina JuterSpring
Stochastic differential equations and diffusion processes.FMS015F7,5Tatyana TurovaSpring
Operator semigroups 7,5Sandra Pott and Eskil Rydhe 
CourseCourse codeCredits
Algebraic StructuresFMAN10F

7,5

Advanced Course in Numerical Algorithms with Python/SciPyFMNN25F

7,5

Applied Mathematics FMA022F

7,5

Applied Epistemology of MathematicsFMAP01F7,5
BiomathematicsFMAN01F7,5
Calculus of Variations FMA201F

7,5

Computer VisionFMA271F

7,5

Data Analysis: Statistical Learning and Visualization with project (First cycle level)FMSF90F7,5
Design of Experiments (First cycle level)FMSF65F7,5
Differential GeometryMATM13F7,5
Discrete Mathematics  (First cycle level)FMA091F7,5
Distribution TheoryMATP11F7,5
Financial StatisticsFMSN60F7,5
Functional Analysis and Harmonic AnalysisFMAN80F7,5
Group and Ring TheoryMATP33F

7,5

Image AnalysisFMA171F7,5
Integration TheoryMATM19F7,5
Introduction Machine LearningFMAN45F7,5
Linear Functional AnalysisMATP35F

7,5

Linear and Combinatorial OptimizationFMAP05F7,5
Linear and Logistic RegressionFMSN30F7,5
Markov Processes (First cycle level)FMSF15F7,5
Machine LearningFMAN45F7,5
Mathematical Foundations of ProbabilityMATM30F

7,5

Mathematics - Systems and Transforms (First cycle level)FMAF05F

7,0

Mathematical Statistics, Time Series AnalysisFMSN45F7,5
Mathematical StructuresFMAN65F6,0
Matrix TheoryFMA122F7,5
Matrix Theory, 6.0 creditsFMA121F

6,0

Medical Image AnalysisFMAN30F7,5
Monte Carlo and Empirical Methods for Stochastic InferenceFMS092F7,5
Number TheoryMATM15F

7,5

Numerical Methods for Partial Differential EquationsFMNN45F7,5
Numerical Linear AlgebraFMNN01F7,5
Numerical Methods for Differential EquationsFMNN10F7,5
Numerical Simulations of Flow ProblemsFMNN40F

7,5

Nonlinear Dynamical SystemsFMAN15F7,5
OptimizationFMAN61F7,5
Partial Differential Equations FMA145F7,5
Prissättning av derivattillgångarFMSN25F7,5
Probability Theory (First cycle level)FMSF05F7,5
Riemannian GeometryFMA160F7,5
Specialised Course in Linear Functional AnalysisMATP45F7,5
Simulation ToolsFMNN05F7,5
Spatial Statistics with Image Analysis FMSN20F

7,5

Stationary and Non-stationary Spectral AnalysisFMSN35F

7,5

Stationary Stochastic Processes (First cycle level)FMSF10F7,5
Statistical Modelling of Extreme ValuesFMSN55F7,5
TopologyMATM16F

7,5

Uncertainty Quantification and Data-driven ModellingNMA015F7,5

Courses given upon request

As a PhD student you can indicate interest for a PhD course. This is best done via the canvaspage for planning PhD courses.
The requests are handled by the director of PhD studies, and goes through the research education committee (email fub@math.lu.se) and the relevant teacher. 

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