Last modified: 25 May 2018 11:16
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)|
This is the total time spent in lectures, tutorials and other class teaching.
Resit: 1 three-hour written examination (100%).
On a less formal basis, via verbal feedback during tutorial discussions, and after tutorial presentations.