Undergraduate Course: Mathematical Methods in Economics (ECNM10072)
Course Outline
| School | School of Economics |
College | College of Humanities and Social Science |
| Credit level (Normal year taken) | SCQF Level 10 (Year 4 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | This 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
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Information for Visiting Students
| Pre-requisites | None |
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.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Additional Class Delivery Information |
2 hours of lectures per week, tutorials to be arranged in addition. |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Ahmed Anwar
Tel: (0131 6)50 8355
Email: |
Course secretary | Ms Eirlys Armstrong
Tel: (0131 6)50 9905
Email: |
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