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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2011/2012
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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Numerical Ordinary Differential Equations and Applications (MATH10060)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 10 (Year 3 Undergraduate) Credits10
Home subject areaMathematics Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionMost ordinary differential equations (ODEs) lack solutions that can be given in explicit analytical formulas. Numerical methods for ordinary differential equations allow for the computation of approximate solutions and are essential for quantitative study. In some cases, a numerical method can facilitate qualitative analysis as well, such as probing the long term solution behaviour. Modern applications of ODEs (e.g. in biology) will be discussed as well as particularities for their numerical approximation.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
Displayed in Visiting Students Prospectus?No
Course Delivery Information
Not being delivered
Summary of Intended Learning Outcomes
to be completed
Assessment Information
Examination 70%; coursework 30%
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Not entered
Transferable skills Not entered
Reading list 1. Numerical Methods for Ordinary Differential Equations by Butcher.
2. Numerical Methods for Ordinary Differential Systems: The Initial Value Problem, by Lambert.
3. A First Course in the Numerical Analysis of Differential Equations by Iserles.
Study Abroad Not entered
Study Pattern Not entered
KeywordsNOD
Contacts
Course organiserDr Adri Olde-Daalhuis
Tel: (0131 6)50 5992
Email: A.OldeDaalhuis@ed.ac.uk
Course secretaryMrs Kathryn Mcphail
Tel: (0131 6)50 4885
Email: k.mcphail@ed.ac.uk
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