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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2013/2014
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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Complex Variable (MATH10001)

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 areaSpecialist Mathematics & Statistics (Honours)
Course website https://info.maths.ed.ac.uk/teaching.html Taught in Gaelic?No
Course descriptionCourse for Honours Degrees in Chemical Physics, Mathematical Physics and Physics. Syllabus summary: Analytic functions, contour integrals, Laurent series and residues, Fourier transform.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: ( Foundations of Calculus (MATH08005) AND Several Variable Calculus (MATH08006) AND Linear Algebra (MATH08007) AND Methods of Applied Mathematics (MATH08035)) OR ( Mathematics for Informatics 3a (MATH08042) AND Mathematics for Informatics 3b (MATH08043) AND Mathematics for Informatics 4a (MATH08044) AND Mathematics for Informatics 4b (MATH08045))
Co-requisites
Prohibited Combinations Students MUST NOT also be taking Complex Variable & Differential Equations (MATH10033)
Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
Displayed in Visiting Students Prospectus?Yes
Course Delivery Information
Not being delivered
Summary of Intended Learning Outcomes
1. Knowledge of basic properties of analytic functions of a complex variable, including power-series expansions, Laurent expansions, and Liouville's theorem
2. The idea of conformal mapping, use of fractional linear transformations
3. Knowledge of the fundamental integral theorems of complex analysis
4. Ability to use residue calculus to perform definite integrals
5. Knowledge of some of the relations between analytic functions and PDE, e.g. relation to harmonic functions, the maximum principle
6. Familiarity with the Fourier integral as a tool for the study of ordinary and partial differential equations.
Assessment Information
Examination only.
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Not entered
Transferable skills Not entered
Reading list http://www.readinglists.co.uk
Study Abroad Not entered
Study Pattern Not entered
KeywordsCoV
Contacts
Course organiserProf A Carbery
Tel: (0131 6)50 5993
Email: A.Carbery@ed.ac.uk
Course secretaryDr Jenna Mann
Tel: (0131 6)50 4885
Email: Jenna.Mann@ed.ac.uk
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