Mathematical analysis and modelling is an important part of infectious disease epidemiology. Application of mathematical models to disease surveillance data can be used to address both scientific ...

Mathematical modeling is the process of developing mathematical descriptions, or models, of real-world systems. These models can be linear or nonlinear, discrete or continuous, deterministic or ...

Use of deterministic and stochastic mathematical models to study and optimize systems. This course includes an introduction to mathematical modeling and the study of linear programming, network models ...

This track is focused on providing our students with the mathematical and computational skills needed to develop and maintain mathematical models. A mathematical model is a rendering of some ...

Time schedule if the student starts in an even year (e.g. autumn 2024) Year 1, spring (30 op): Stochastic population models I-II (10cr) Spatial models in ecology and evolution (10 op) Introduction to ...

Description: This course is intended to be accessible to students outside the mathematical and physical sciences. Formulation of mathematical models for applications in the biological, physical, and ...

Introduction: Early detection is a cornerstone of cancer control, yet its quantitative influence on tumor–immune interactions remains underexplored in mathematical oncology. Methods: We formulated a ...