Programme/Approved Electives for 2020/21
Available as a Free Standing Elective
ECO-10027 Quantitative Methods II
This module is designed to introduce students to key concepts of statistics; and to illustrate them using the School's Bloomberg terminals, thus also enabling familiarity with the Bloomberg portal of information. The module will deliver the theoretical material in standard lectures, but it will adopt a clear hands-on approach in classes that will be held in the Bloomberg computer laboratory. In these classes, students will have the opportunity to become familiar with Bloomberg, derive economic and/or business and/or financial information from this portal, and apply their knowledge of statistics in relation to this information. The students will also prepare for their portfolio piece of coursework during these lab-based classes.
Talis Aspire Reading ListAny reading lists will be provided by the start of the course.http://lists.lib.keele.ac.uk/modules/eco-20049/lists
To introduce students to key concepts of statistics; and to illustrate them using the Bloomberg suite of the KBS, thus also enabling familiarity with the Bloomberg portal of information.
Intended Learning Outcomes
demonstrate understanding of key concepts of statistics, including the mean, variance, distribution and hypothesis testing: 1formulate problems and hypotheses in a statistical framework, and choose the appropriate tests to address them: 1apply the chosen statistical models and methods, evaluate the evidence and interpret the results of the statistical analysis: 1demonstrate the ability to use the Bloomberg information portal: 1
16 hours lectures8 hours tutorial computer lab classes30 hours portfolio preparation96 hours self study which includes practice of the skills taught on the module, reading of additional materials, thinking time and discussion of topics with other students.
1: Portfolio weighted 100%
Description of Module Assessment
Portfolio of practical exercisesStudents are asked to submit a portfolio of 5 out of 8 practical exercises discussed during the module. One practical exercise will be discussed in each of the 8 seminars. The portfolio should be submitted at the start (Tuesday) of teaching week 12. The 5 out of 8 practical exercises to be submitted will be chosen by the module leader and announced 24 hours before the submission deadline.