Undergraduate Course: Stochastic Models in Biology (MATH11116)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 11 (Year 4 Undergraduate) |
Credits | 10 |
| Home subject area | Mathematics |
Other subject area | None |
| Course website |
https://info.maths.ed.ac.uk/teaching.html |
Taught in Gaelic? | No |
| Course description | This course focuses on stochastic models and analytical approaches for their solution. The models are introduced through various biological examples, including molecular motor motion, virus dynamics, population genetics and tumour progression. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | No |
Course Delivery Information
| Not being delivered |
Summary of Intended Learning Outcomes
| Understanding the dynamics of certain living systems (molecular motors, genes, viruses, tumours, etc) in the light of recent experimental results. Learning how to construct models of these systems, and introducing some of the standard modelling approaches: branching processes, exclusion processes, Moran and Wright-Fisher models of population genetics, and random walks. Acquiring techniques to solve these models exactly, asymptotically, or approximately. |
Assessment Information
| Examination 85%; Coursework 15% |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | SMB |
Contacts
| Course organiser | Dr Tibor Antal
Tel: (0131 6)51 7672
Email: |
Course secretary | Mrs Alison Fairgrieve
Tel: (0131 6)50 5045
Email: |
|
|
University Homepage