Modelling with MATLAB - MAT00060M
- Department: Mathematics
- Credit value: 10 credits
- Credit level: M
- Academic year of delivery: 2022-23
Related modules
Additional information
Pre-requisites for Natural Sciences Students:
- MAT00007C Mathematics for Sciences I
- MAT00008C Mathematics for Sciences II
Module will run
| Occurrence | Teaching period |
|---|---|
| A | Autumn Term 2022-23 |
Module aims
To provide the fundamentals of programming in MATLAB (a mathematical programming language for computation and visualization).
To develop skills to solve complex mathematical problems using computation.
To provide practice in applying these techniques to problems in biology and other subjects.
Module learning outcomes
- To provide the fundamentals of programming in MATLAB (a mathematical programming language for computation and visualization).
- To develop skills to solve complex mathematical problems using computation.
- To provide practice in applying these techniques to problems in biology and other subjects
Module content
Subject content
- The fundamentals of coding in MATLAB
- Examples of computation and visualisation using MATLAB.
- Topical and up-to-date examples of mathematical models, often (but not exclusively) based on applications in the biosciences, covering mathematical areas such as
- large systems of ordinary differential equations;
- discrete and stochastic simulations of reactions – the Gillespie algorithm;
- stochastic differential equations;
- delay differential equations.
(In this M-level module it is anticipated that three of these four topics, or similar ones, will be studied in detail, and that the fourth will be introduced in the additional lecture and practicals but will require more independent study from the students.)
Academic and graduate skills
- Awareness of, and experience in using, a set of computational techniques that can be employed on a range of quantitative problems in science, industry, finance and management.
- Experience in extracting quantitative and technical details from diverse sources including academic papers, grey literature, and the wider internet.
- Experience in designing, testing, and accurately reporting computational methods for solving complex problems.
- Experience in working in small groups in practicals, working together to solve technical problems but also taking individual responsibility for each submitted piece of work.
- Experience in working independently to understand, to implement computationally, and to test, technical material needed to solve research-level questions.
Indicative assessment
| Task | % of module mark |
|---|---|
| Essay/coursework | 25 |
| Essay/coursework | 40 |
| Essay/coursework | 10 |
| Groupwork | 25 |
Special assessment rules
None
Indicative reassessment
| Task | % of module mark |
|---|---|
| Essay/coursework | 25 |
| Essay/coursework | 40 |
| Essay/coursework | 10 |
| Groupwork | 25 |
Module feedback
Current Department policy on feedback is available in the student handbook. Coursework and examinations will be marked and returned in accordance with this policy.
Indicative reading
MATLAB Guide, Desmond J. Higham and Nicholas J. Higham, xxiii+382 pages, hardcover, ISBN 0-89871-578-4, 2nd edition, SIAM, 2005