There is no mandatory textbook for the course but material are made available to you on the course website, and these materials will be crucial to your success.  

• To demonstrate an understanding of the role of mathematics and modeling in modern biological research. 
• Appreciate the role of mathematics in the analysis of biological systems including populations of molecules, cells and organisms.
• To develop students' skills in algebraic manipulation, the calculus of differential equations, mathematical modelling, and matrix algebra.
• To be able to assess biological inferences that rest on mathematical and statistical arguments.

• To develop skills in quanitative reasoning.
• To appreciate the importance of translating biological problems into mathematical formulation, and computer code.
• To develop skills in biological model creation, parameterization, validation, and simulation.
• To become competent in using the statistical program R for modeling. 

• Introduction to Modeling
• The Modeling Process
• Qualitative Model Formulation
• Quantitative Model Formulation
• Numerical Techniques
• Model parameterization and validation
• Analyzing models
• Applications:  structured populations
• Applications:  competition and predation
• Applications:  infectious disease
• Applications:  models in space
• Applications:  individual based models

• Introduction
• Population growth
• Annual plant
• Predator-prey
• Infectious diseases
• Individual based models
• Modeling Projects