This page is for the academic year 2021-22. The current handbook year is 2022-23
Department: Mathematical Sciences
MATHEMATICAL BIOLOGY III
||Available in 2021/22
- Analysis in Many Variables II (MATH2031)
Excluded Combination of Modules
- Study of non-linear differential equations in biological models, building on level 1 and 2 Mathematics.
- Introduction to application of mathematics to biological systems and environments.
- Core applied modelling techniques such as stability analysis, weakly non-linear analysis, travelling wave solutions.
- ODE models in biology.
- Reaction diffusion equations.
- Pattern formation in nature: Turing analysis.
- Examples taken from the following: diffusion of insects and other species; the formation of spiral wave patterns in nature; hyperbolic models of insect dispersal and migration of a school of fish; glia aggregation in the human brain and possible connection with Alzheimer's disease; enzyme kinetics; the chemostat for bacteria production; branching growth of organisms; modelling the life cycle of the cellular slime mold Dictyostelium discoideum, and the phenomenon of chemotaxis; epidermal and dermal wound healing; epidemic models and the spatial spread of infectious diseases.
- By the end of the module students will: be able to solve novel and/or complex problems in Mathematical Biology.
- have a systematic and coherent understanding of theoretical mathematics in the fields Mathematical Biology.
- have acquired coherent body of knowledge of these subjects demonstrated through one or more of the following topic areas:
- Models for diffusion of insect populations.
- Formation of spiral wave patterns.
- Mathematics of enzyme kinetics.
- Mathematics of the Chemostat.
- Chemostaxis and coalgulation of species.
- Pattern formation mechanisms.
- Spread of infectious diseases.
- In addition students will have specialised mathematical skills in the following areas which can be used with minimal guidance: Modelling.
Modes of Teaching, Learning and Assessment and how these contribute to
the learning outcomes of the module
- Lectures develop technical ideas and methodology and introduce motivating examples.
- Solution by students of problems in written assignments as part of formative assessment deepens and tests understanding of technical material and helps to develop modelling skills.
- Students will also be expected on occasion to find additional material from the Internet.
- Summative assessment by examination measures degree of technical mastery, grasp of basic ideas in modelling and skill carrying through necessary calculations.
Teaching Methods and Learning Hours
||2 per week for 20 weeks and 2 in term 3
||Four in each of terms 1 and 2
|Preparation and Reading
||Component Weighting: 100%
||Length / duration
Eight written assignments to be assessed and returned. Other assignments are set for self-study and complete solutions are made available to students.
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University