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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2015/2016

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DRPS : Course Catalogue : School of Economics : Economics

Undergraduate Course: Mathematical Methods in Economics (ECNM10072)

Course Outline
SchoolSchool of Economics CollegeCollege of Humanities and Social Science
Credit level (Normal year taken)SCQF Level 10 (Year 4 Undergraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryThis 20 credit Honours option covers mathematical methods used in economic analysis. It is likely to be particularly useful for students intending to proceed to postgraduate studies in Economics. Topics covered are likely to include: Matrices reduced row echelon form, rank. Systems of linear equations. Determinants. Vector spaces, linear independence, basis, dimension. Eigenvalues. Diagonalization. Orthogonal diagonalization. Vectors. Functions of several variables, derivatives, gradients, tangent hyperplanes. Optimisation including Lagrange's method. The envelope theorem. Vector-valued functions, derivatives and their manipulation. Inverse functions, local inverses and critical points, use in transformations. Integration, differential and difference equations. Dynamic optimisation. Economic applications of the above topics.
Course description Not entered
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Essentials of Econometrics (ECNM10052) AND Topics in Microeconomics (ECNM10070) AND Topics in Macroeconomics (ECNM10069)
Co-requisites
Prohibited Combinations Other requirements Not available to students enrolled on MA Economics and Mathematics.
Information for Visiting Students
Pre-requisitesNone
Course Delivery Information
Not being delivered
Learning Outcomes
Matrices reduced row echelon form, rank. Systems of linear equations, Determinants. Vector spaces, linear independence, basis, dimension. Eigenvalues. Diagonalization. Orthogonal diagonalization. Vectors. Functions of several variables, derivatives, gradients, tangent hyperplanes. Optimisation including Lagrange's method. The envelope theorem Vector-valued functions, derivatives and their manipulation. Inverse functions, local inverses and critical points, use in transformations. Integration, differential and difference equations. Dynamic optimisation. Economic applications of the above topics.

The course emphasises general skills such as: critical analysis and assessment; reasoning adaptably and systematically; problem-framing and problem-solving.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
Additional Class Delivery Information 2 hours of lectures per week, tutorials to be arranged in addition.
KeywordsNot entered
Contacts
Course organiserDr Ahmed Anwar
Tel: (0131 6)50 8355
Email: Ahmed.Anwar@ed.ac.uk
Course secretaryMs Eirlys Armstrong
Tel: (0131 6)50 9905
Email: eirlys.armstrong@ed.ac.uk
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