BIMNC16-Nonlinear and Optimal Control

Module Provider: School of Biological Sciences
Number of credits: 10 [5 ECTS credits]
Level:7
Terms in which taught: Spring term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Current from: 2018/9

Email: ying.zheng@reading.ac.uk

Type of module:

Summary module description:

Aims:

The module aims to discuss the fundamentals of nonlinear systems and optimisation methods, with a particular focus on their relevance in biological systems. 

Assessable learning outcomes:

By the end of the module the students will be able analyse the behaviour of some nonlinear systems, to assess their stability, and to implement optimisation methods. 

Additional outcomes:

Outline content:

Introduction to nonlinear systems. Jacobian linearisation of nonlinear systems. Hodgkin-Huxley model of the membrane potential of single neurons. Neural population modelling. Unconstrained and constrained optimisation. Application of optimisation algorithms to nonlinear biological systems.

Brief description of teaching and learning methods:
Teaching and learning methods include lectures, tutorials, laboratory practicals, and guided independent study.

Summative assessment- Examinations:

Summative assessment- Coursework and in-class tests:

Formative assessment methods:

Penalties for late submission:
Penalties for late submission on this module are in accordance with the University policy. Please refer to page 5 of the Postgraduate Guide to Assessment for further information: http://www.reading.ac.uk/internal/exams/student/exa-guidePG.aspx

Assessment requirements for a pass:
MEng 50% overall module mark
MSc 50% overall module mark

Reassessment arrangements:

Resubmission of the course work. 

Additional Costs (specified where applicable):
1) Required text books:
2) Specialist equipment or materials:
3) Specialist clothing, footwear or headgear:
4) Printing and binding:
5) Computers and devices with a particular specification:
6) Travel, accommodation and subsistence:

Last updated: 20 April 2018