Undergraduate Course: Mathematical Methods in Economics (ECNM10072)
Course Outline
| School | School of Economics |
College | College of Humanities and Social Science |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 10 (Year 4 Undergraduate) |
Credits | 20 |
| Home subject area | Economics |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | 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. |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
| Not being delivered |
Summary of Intended 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. |
Assessment Information
Take home problem set (20% of the final mark); A 2 hour Degree examination in April/May diet (80% of the final mark).
Visiting Student Variant Assessment
A take-home problem set (50% of the final mark); two additional take-home problem sets (each worth 25% of the final mark). |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Ahmed Anwar
Tel: (0131 6)50 8355
Email: Ahmed.Anwar@ed.ac.uk |
Course secretary | Ms Eirlys Armstrong
Tel: (0131 6)50 9905
Email: eirlys.armstrong@ed.ac.uk |
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