Undergraduate Course: Topics in Mathematical Biology (MATH10083)
|School||School of Mathematics
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 10 (Year 4 Undergraduate)
||Availability||Available to all students
|Summary||Integrative course in Mathematical Biology for joint Honours students in Mathematics and Biology, with a focus on current opinions and topics in evolutionary and systems biology, and a discussion of relevant mathematical modelling techniques and the challenges faced by mathematical biologists in their application. The course will consist of a number of individual modules, to be delivered by a rota of lecturers from the School of Mathematics and the School of Biological Sciences; additional modules may be delivered on a case-by-case basis by academic visitors to either School.
Sample topics include an overview of current trends in both evolutionary and systems biology, as well as a more in-depth discussion of specific sub-areas such as quantitative genetics, epidemiology, and stochastic gene expression, and relevant mathematical techniques such as stochastic modelling, perturbation analysis, and statistical inference.
Throughout, an emphasis is placed on student participation through discussion and presentation, and on two-way interaction with lecturing staff. Correspondingly, the course is assessed by coursework only. Lectures are intertwined with workshop sessions in which the lectured material is discussed in a collaborative studio environment. A sample assessment may consist of a
synoptic study of published research in mathematical biology that is followed by a group presentation. Additionally, students will be expected to attend five seminar talks, to be taken from the Mathematical Biology seminar series, and subsequently to submit a written synopsis of these talks as part of their coursework.
A sample syllabus for this course is given as follows.
Week 1 : Trends in evolutionary biology
Week 2 : Evolutionary genetics
Week 3 : Ecology and epidemiology
Week 4 : Stochastic and probabilistic modelling
Week 5 : Trends in systems biology
Week 7 : Stochastic gene expression
Week 8 : Multiple scales and perturbations
Week 9 : Computational molecular dynamics
Week 10 : Bayesian modelling and regression
Week 11 : Inference and model selection
Specific topics will vary by session, and will depend on the lecturing staff rota.
Information for Visiting Students
Course Delivery Information
|Not being delivered|
| 1. Ability to identify current opinions, topics, and challenges in mathematical biology, with a focus on evolutionary and systems biology.
2. Ability to digest and critically assess a selection of published research in mathematical biology.
3. Facility in presenting complex mathematical concepts to non-specialists in an accessible fashion.
4. Knowledge of the state of the art in biological experimentation, data assimilation and processing, and the mathematical modelling of biological phenomena.
5. Ability to evaluate the relevance of both established and novel mathematical modelling techniques to emerging biological applications.
|Relevant original research articles and recent reviews, to be chosen as appropriate by the lecturing staff delivering the course in a given session.|
|Graduate Attributes and Skills
|Course organiser||Dr Martin Dindos
|Course secretary||Mrs Alison Fairgrieve
Tel: (0131 6)50 5045