NONLINEAR PATTERNS - 2022/3
Module code: MATM031
In light of the Covid-19 pandemic the University has revised its courses to incorporate the ‘Hybrid Learning Experience’ in a departure from previous academic years and previously published information. The University has changed the delivery (and in some cases the content) of its programmes. Further information on the general principles of hybrid learning can be found at: Hybrid learning experience | University of Surrey.
We have updated key module information regarding the pattern of assessment and overall student workload to inform student module choices. We are currently working on bringing remaining published information up to date to reflect current practice during the academic year 2021/22.
This means that some information within the programme and module catalogue will be subject to change. Current students are invited to contact their Programme Leader or Academic Hive with any questions relating to the information available.
Regular patterns arise naturally in many physical and biological systems, from hexagonal convection cells on the surface of the sun to stripes on a zebra's back. This course provides a basic framework for understanding the formation and evolution of these patterns using ordinary and partial differential equations and group theory.
BRIDGES Tom (Maths)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
JACs code: G130
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 106
Lecture Hours: 11
Seminar Hours: 11
Guided Learning: 11
Captured Content: 11
Prerequisites / Co-requisites
MAT2048 Groups & Rings, MAT2011 Linear PDEs or PHY2065
Indicative content includes:
a review of flows and stationary points of ordinary differential equations, moving on to the concepts of centre manifolds and bifurcations. Simple bifurcations will be described and classified.
group theoretic methods for analysing pattern-forming systems. Patterns on lattices and in boxes will be studied using symmetry groups. The Equivariant Branching Lemma and representations of groups will be covered.
- The module will conclude with the description of spatially-modulated patterns in terms of envelope equations. The Ginzburg-Landau equation will be derived and used to study the properties of stripes.
|Assessment type||Unit of assessment||Weighting|
|Online Scheduled Summative Class Test||ONLINE TEST||20|
|Examination Online||ONLINE EXAM||80|
The assessment strategy is designed to provide students with the opportunity to demonstrate
Subject knowledge through the recall of key definitions, theorems and methods.
Analytical ability through the solution of unseen problems in the test and exam.
Thus, the summative assessment for this module consists of:
One final examination worth 80% of the module mark.
One in-semester test worth 20% of the module mark.
Formative assessment and feedback
Students receive written feedback via two marked coursework assignments over an 11 week period. In addition, verbal feedback is provided by lecturer/class tutor at biweekly seminars and weekly tutorial lectures.
- To become familiar with a range of symmetry-based techniques for describing the behaviour of regular patterns that occur in nature or in laboratory experiments.
|001||Be able to locate and classify codimension-one bifurcations of ordinary differential equations||KC|
|002||Be familiar with the concept of a centre manifold||K|
|003||Be able to identify the symmetry group relevant to simple pattern formation problems and use the Equivariant Branching Lemma in simple cases||KC|
|004||Understand how to describe patterns using amplitude equations, and be able to find solutions of these equations in simple cases||KC|
|005||Understand how to describe spatially modulated patterns using envelope equations, and be able to find solutions of these equations in simple cases||KC|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to provide:
- A detailed introduction to nonlinear patterns and their analysis
- Experience (through demonstration) of the methods used to analyse, understand and solve problems involving nonlinear patterns.
The learning and teaching methods include:
3 x 1 hour lectures per week x 11 weeks, with projector-displayed written notes to supplement the module handbook and Q + A opportunities for students.
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Upon accessing the reading list, please search for the module using the module code: MATM031
Programmes this module appears in
|Mathematics MSc||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Mathematics and Physics MPhys||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Mathematics and Physics MMath||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Mathematics MMath||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Mathematics with Statistics MMath||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.