THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2014/2015
- ARCHIVE as at 1 September 2014

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Topics in Mathematical Biology (MATH10083)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 10 (Year 4 Undergraduate) Credits10
Home subject areaMathematics Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionIntegrative 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.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: ( Honours Differential Equations (MATH10066) AND Likelihood (MATH10004) AND Stochastic Modelling (MATH10007) AND Numerical Ordinary Differential Equations and Applications (MATH10060))
Students MUST have passed: ( Evolutionary and Ecological Genetics 3 (BILG09004) AND Molecular Genetics 3 (BILG09002)) OR ( Molecular Genetics 3 (BILG09002) AND Molecular Cell Biology 3 (BILG09001))
Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
Displayed in Visiting Students Prospectus?Yes
Course Delivery Information
Not being delivered
Summary of Intended Learning Outcomes
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.
Assessment Information
Coursework 100%
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus 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.
Transferable skills Not entered
Reading list Relevant original research articles and recent reviews, to be chosen as appropriate by the lecturing staff delivering the course in a given session.
Study Abroad Not entered
Study Pattern Not entered
KeywordsTMB
Contacts
Course organiserDr Martin Dindos
Tel:
Email: M.Dindos@ed.ac.uk
Course secretaryMrs Alison Fairgrieve
Tel: (0131 6)50 5045
Email: Alison.Fairgrieve@ed.ac.uk
Navigation
Help & Information
Home
Introduction
Glossary
Search DPTs and Courses
Regulations
Regulations
Degree Programmes
Introduction
Browse DPTs
Courses
Introduction
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Prospectuses
Important Information
 
© Copyright 2014 The University of Edinburgh - 29 August 2014 4:20 am