Last modified: 22 May 2019 17:07
This two parted course aims to develop the students’ practical analytical skills and economic problem solving abilities. The first section deals with mathematics in an economic setting. It should enable the student to apply mathematical problem solving techniques to relevant economic issues. Material covered includes differentiation, unconstrained and constrained optimisation, integration and matrix algebra. The second section is dedicated to statistical methods in economics. It seeks to introduce the students to a variety of statistical concepts, relating among others to probability and distributions. It systematically develops hypotheses testing and regression analysis to enable analysis of real world data.
|Session||First Sub Session||Credit Points||30 credits (15 ECTS credits)|
Information on contact teaching time is available from the course guide.
1st Attempt: 1 three-hour examination (80%); continuous assessment (20%) consisting of a best of two mathematical quiz marks (4%), end of mathematical section test (6%), best of two statistical quiz marks (4%) and end of statistical section test (6%).
Resit: 1 three-hour written examination (100%).
This will take place via tutorial discussions and information given in lectures.
On a less formal basis, via verbal feedback during tutorial discussions, and after tutorial presentations.