Applied complex variables
This module is based on Applied Complex Variables by J. W. Dettman (reprinted by Dover, 1984), and will appeal to scientists and engineers as well as to mathematicians. Complex variable theory pervades a wide variety of important subjects and this module teaches topics that are both useful in the theoretical sciences and of interest in their own right. It is an intermediate-level module in our MSc in Mathematics.
03 Oct 2015
Not yet available
Registration closes 14/08/15 (places subject to availability)Click to register
This module is expected to start for the last time in October 2017.
What you will study
This module deals with subjects that seem to be a natural outgrowth of the study of analytical functions of one complex variable, for example potential theory, the theory of ordinary linear differential equations, Fourier and Laplace transforms and asymptotic expansions.
You will learn
Successful study of this module should enhance your skills in understanding complex mathematical texts, constructing solutions to problems logically and communicating mathematical ideas clearly.
This is one of the intermediate modules in the MSc in Mathematics (F04). Normally, you should have completed at least one intermediate module before studying Advanced mathematical methods (M833).
To study this module you must declare the MSc in Mathematics (or another qualification towards which the module can count) as your qualification intention.
Normally, you should have also completed at least one of the entry modules for the MSc in Mathematics (F04), Calculus of variations and advanced calculus (M820) or Analytic number theory I (M823).
All teaching is in English and your proficiency in the English language should be adequate for the level of study you wish to take. We strongly recommend that students have achieved an IELTS (International English Language Testing System) score of at least 7. To assess your English language skills in relation to your proposed studies you can visit the IELTS website.
If you have any doubt about the suitability of the module, please speak to an adviser.
M828 is an optional module in our:
Some postgraduate qualifications allow study to be chosen from other subject areas. We advise you to refer to the relevant qualification descriptions for information on the circumstances in which this module can count towards these qualifications because from time to time the structure and requirements may change.
As a student of The Open University, you should be aware of the content of the Module Regulations and the Student Regulations which are
available on our Essential documents website.
If you have a disability
The material contains small print and diagrams, which may cause problems if you find reading text difficult.
If you have particular study requirements please tell us as soon as possible, as some of our support services may take several weeks to arrange. Find out more about our services for disabled students.
Module notes, other printed materials.
You will need
We recommend that you have access to the internet at least once a week during the module and would like to point out that vital material, such as your assignments, will be delivered online.
You will need a computer with internet access to study this module as the study materials and activities are accessible via a web browser. You may also be required to perform other tasks, such as word processing, using spreadsheets, taking part in online forums, and submitting files to the university for assessment. The additional software for these tasks will either be provided or is freely available.
We recommend either of the following:
Windows desktop or laptop computer running Windows 7 or later operating system
Macintosh desktop or laptop computer running OS X 10.7 or later operating system.
A netbook, tablet, smartphone or Linux computer that supports one of the browsers listed below may be suitable. The screen size should be at least 1024 (H) x 768 (W) pixels. If you intend to use one of these devices please ensure you have access to a suitable desktop or laptop computer in case you are unable to carry out all the module activities on your mobile device.
We recommend a minimum 1 Mbps internet connection and any of the following browsers:
Internet Explorer 9 and above
Apple Safari 7 and above
Google Chrome 31 and above
Mozilla Firefox 31 and above.
Note: using the latest version for your browser will maximise security when accessing the internet. Using company or library computers may prevent you accessing some internet materials or installing additional software.
See our Skills for OU study website for further information about computing skills for study and educational deals for buying Microsoft Office software.
Materials to buy
- Dettman, J.W. Applied Complex Variables Dover Publications £18.99 - ISBN 9780486646701
Teaching and assessment
Support from your tutor
You will have a tutor who will help you with the study material and mark and comment on your written work, and whom you can ask for advice and guidance.
Contact us if you want to know more about study with The Open University before you register.
The assessment details can be found in the facts box above.
You will be expected to submit your tutor-marked assignments (TMAs) online using a special maths eTMA processor, which is used in place of the main eTMA system, unless there are some difficulties which prevent you from doing so. In these circumstances, you must negotiate with your tutor to get their agreement to submit your assignment on paper.
You will, however, be granted the option of submitting on paper if typesetting electronically or merging scanned images of your answers to produce an electronic TMA would take you an unacceptably long time.
Students also studied
Students who studied this course also studied at some time:
The details given here are for the module that starts in October 2015. It will be available again in October 2017.
How to register
To register a place on this course return to the top of the page and use the Click to register button.
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For more information about distance learning at the OU read Study explained.