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Dynamical Systems (NSCI0034)

Key information

Faculty
Faculty of Mathematical and Physical Sciences
Teaching department
Natural Sciences
Credit value
15
Restrictions
You will be expected to have some experience of using Python, though you do not need to be highly proficient. You must have already studied some calculus, at least to the level of first order ordinary differential equations. The module is designed for students taking the Natural Sciences programme, but other undergraduates are welcome. There may be limits on the number of students who can be accepted due to the constraints of class size.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module covers topics and techniques needed for scientific applications involving systems of ordinary differential equations. Content and examples are tailored towards students who are combining mathematics with scientific study in subject areas including life sciences, earth sciences, chemistry, sustainability.

You will learn to infer the behaviour of dynamical systems by studying their phase plane representation and by investigating the nature and stability of any equilibrium points. This is useful because we can often construct the phase plane even when it is not possible to find an exact solution.

Mathematical ideas that will be developed in this course include techniques of linear algebra such as eigenvalues and eigenvectors, linearization of nonlinear models, and bifurcation analysis for systems involving parameters.Ìý

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The module is taught through a combination of lectures and workshops. Students who complete this module should be able to:

[1] Analyze and solve linear systems using algebraic and geometric techniques

[2] Produce phase portraits and bifurcation diagrams for autonomous ODE systems, using a combination of analytic and computer-assisted techniques

[3] Make inferences about the behaviour of dynamical systems by looking at phase portraits and bifurcation diagrams.Ìý

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 ÌýÌýÌý Undergraduate (FHEQ Level 4)

Teaching and assessment

Mode of study
In person
Methods of assessment
30% Coursework
70% Exam
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
19
Module leader
Dr Ella Metcalfe
Who to contact for more information
natsci@ucl.ac.uk

Last updated

This module description was last updated on 19th August 2024.

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