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The 22nd International Conference on the Teaching of Mathematical Modelling and Applications (ICTMA22)
All researchers, teachers and mathematicians interested in the teaching and learning of mathematical modelling, are welcome to ICTMA22. The conference is taking place at 腦瞳憫 from Sunday 10 August to Friday 15 August 2025.
Nonlinear Potential Theory
The research group is mainly interested in analysis on metric spaces, and in particular nonlinear potential theory associated with p-harmonic functions and quasiminimizers in Euclidean and metric spaces.
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News |
03 September 2025
Mathematical models make learning more meaningful
When students solve real-world problems, math lessons become more engaging and meaningful. That was the focus when researchers from around the world met in Linköping to explore new perspectives in mathematical modeling.
Differential Equations and Analysis on Metric Spaces
Differential equations describe many real-world phenomena but can rarely be solved exactly. We therefore study properties of their solutions in other ways, in very general situations, similarly to creating an identikit of an unknown criminal.
Analysis and Mathematics Education (ANDI)
The Division of Analysis and Mathematics Education conducts both interdisciplinary and applied research in various branches of analysis and didactics of mathematics.
The Mathematical Colloquium
The Mathematical Colloquium is a seminar series at the Department of Mathematics that addresses a broad mathematical audience.
Research collaboration in Mathematics with low income countries and regions
The Department of Mathematics contributes to the development of capacity for higher education and research in low income countries and regions through collaborative projects in Africa and Asia.
Teaching and learning statistics at the secondary level
Research shows that it is challenging for students to learn statistical concepts and methods. Teachers need preparedness and tools to be able to support their students. The project therefore studies the teaching and learning of statistics.
Inverse Problems in Natural Sciences
Solutions of inverse problems involve finding parameters of a physical system by using some measurements and a mathematical model describing the system. Such problems are often found in applications and their importance will increase in the future.
Mathematical Modelling of the Blood Circulatory System
Mathematical models of the circulatory system can be used in order to better understand the system and so help diagnose blood-vascular diseases and other problems while also enabling planning for the treatment of these diseases.