Last modified: 22 May 2019 17:07
This course develops a mathematical and statistical ‘toolbox’ for PGT students in the Business School. These tools will useful in understanding and implementing research in business- and economics-related fields both during a student’s academic career as well as after graduation. The first part of the course covers basic mathematical models common across these fields. The second part of the course develops standard data analysis methods, including multivariate regression. The final part of the course examines shortcomings in the standard model and describes ways of overcoming those shortcomings.
|Session||First Sub Session||Credit Points||15 credits (7.5 ECTS credits)|
This course aims to provide an introduction to econometric and mathematical methods used in economics and finance.
This is the total time spent in lectures, tutorials and other class teaching.
2-hour examination (70%)
Computer Assignment (10%)
In class test (20%)
Resit: 100% on 2hr written examination.
There are no assessments for this course.