The course is an introduction into modelling diseases and disease processes using applied mathematical biology. The main objective of the course is to present mathematical models as a framework for working with and understanding disease processes of e.g. infectious, metabolic or transformed (cancer) diseases. The course will enable the student to apply, modify and discuss disease models and their potential as a tool for advancing knowledge of a particular disease problem. The purpose of the course is to show the student the potential of applied mathematical biology as a research tool for studying disease processes. En studerende, der fuldt ud har opfyldt kursets mål, vil kunne:

• Understand the potential of mathematical models as a tool for biological research
• Contribute to development of mathematical models for a given disease process
• Formulate relevant research questions to be addressed using mathematical biology for a given disease process
• Discuss the data requirements with respect to addressing research questions using mathematical biology
• Evaluate the usefulness of a dynamic modelling process for a specific research question
• Work with predefined mathematical disease models
• Modify and reanalyze a given mathematical model
• Discuss scientific literature regarding dynamic models in biology
• Communicate and present results of a mathematical dynamic biological model

In this course, the diversity of dynamic models in biology is introduced using a wide-ranging set of case studies to illustrate different aspects of models and modeling. The main topics are among others: Compartment models, Matrix models and structured population dynamics, membrane channels, cellular dynamics, dynamical systems, infectious diseases, spatial patterns, agent based models and complex models. Dynamic Models in Biology, Stephen P. Ellner & John Guckenheimer, Princeton University press
http:/​/​press.princeton.edu/​titles/​8124.html 10. januar, 2017