MA207 Half Unit
Further Quantitative Methods (Mathematics)
This information is for the 2024/25 session.
Teacher responsible
Dr James Ward
Availability
This course is available on the BSc in Management. This course is available as an outside option to students on other programmes where regulations permit. This course is available with permission to General Course students.
Pre-requisites
Students should have previously taken MA107 Quantitative Methods (Mathematics). It is not available to students who have taken MA100 Mathematical Methods or MA108 Methods in Calculus and Linear Algebra or higher level methods courses.
Course content
This is a second course in quantitative methods, following on directly from MA107 Quantitative Methods (Mathematics). This course will contain further algebra and calculus. As with the course MA107, the emphasis will be on applications in economics and finance. Topics covered: Matrix methods in portfolio analysis. Linear independence. Rank of a matrix. Eigenvalues and eigenvectors. Diagonalisation. Linear systems of recurrence equations. Markov process. Second-order recurrence equations. Macroeconomic models. Vector geometry. Gradient and directional derivative. Tangent hyperplanes and the optimal bundle. Resource allocation and Pareto efficiency. Orthogonal matrices and quadratic forms. Critical points of quadratic functions. Taylor's approximation. Optimisation of functions of two or more variables.
Teaching
This course is delivered through a combination of classes and lectures totalling a minimum of 30 hours across Winter Term.
Formative coursework
Written answers to set problems will be expected on a weekly basis.
Indicative reading
M Anthony & N Biggs, Mathematics for Economics and Finance (Cambridge, 1996); A Ostaszewski, Mathematics in Economics (Blackwell, 1993).
Assessment
Exam (100%, duration: 2 hours) in the spring exam period.
Key facts
Department: Mathematics
Total students 2023/24: 92
Average class size 2023/24: 18
Capped 2023/24: No
Value: Half Unit
Course selection videos
Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.
Personal development skills
- Self-management
- Problem solving
- Application of information skills
- Communication
- Application of numeracy skills
- Specialist skills