Last modified: 31 May 2022 13:05
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.
Information on contact teaching time is available from the course guide.
(20%) Mathematical and Statistical quizzes
(20%) Econometrics quizzes
(20%) Problem set assessment comprising Mathematical and Statistical Methods questions
(40%) Problem set assessment comprising Econometrics questions
Alternative Resit Assessment
Resit: Problem set assessment comprising Mathematical and Statistical questions (40%) and Econometrics questions (60%)
There are no assessments for this course.
|Knowledge Level||Thinking Skill||Outcome|
|Factual||Remember||ILO’s for this course are available in the course guide.|