Are you a researcher in the biological sciences?
Would you like to know more about mathematical modelling?
This course will equip you with the concepts and basic skills of mathematical and statistical modelling.
You will be guided through the key steps of researching the question, formulating model frameworks, parameterisation and integrating data, and performing model criticism.
Our course tutors have a mixture of physical and life science backgrounds.
Each day will be split between morning lectures (which will introduce mathematical techniques in conjunction with biological case studies) followed by afternoon computer-lab practical sessions to put into practice the concepts covered in the morning.
Exercises and lectures will make use of Matlab or R. Both are commonly available (R is freeware) and flexible enough to demonstrate all relevant techniques. The course tutors have a variety of expertise in other platforms (e.g. C++, Mathematica, etc.) and can advise students with specific needs.
Through the second half of the week, students will also work on individualised projects (either developed themselves or with guidance by the lecturers). Our high staff–student ratio will allow close supervision of the students and individual development of these mini-projects using the techniques that are most appropriate for their own research goals. We will also provide a personalised further-reading programme and identify collaborators to enable development of their project beyond the course week for those interested.
Course materials will be provided long-term via a secure website, including lecture notes and computer code samples.
The course team have a background in different aspects of mathematical biology and use a range of modelling and statistical techniques. The team includes both mathematicians and physicists who apply modelling to environmental and epidemiological problems (Norman, Hoyle, Kleczkowski, O'Hare) together with ecologists who make rigorous use of mathematical and statistical techniques (Green, McAdam). This provides participants with an opportunity to learn from lecturers with a variety of backgrounds and modelling philosophies.
All the course team are part of the University of Stirling's School of Natural Sciences. This is an interdisciplinary school, which encourages the use of mathematics and computing science to carry out problem-focused research.