Programme/Approved Electives for 2019/20
Available as a Free Standing Elective
This module is designed to offer essential quantitative skills useful for undergraduate core courses in the Business School, whilst also illustrating the usefulness of industry standard spreadsheets (such as Excel) for analysis of quantitative business-related information. The assessment requires good group work which will develop students interpersonal skills.
The aim of this module is to familiarise students with the tools and techniques useful both for developing models, and for then analysing and presenting data to represent the models. Some key techniques and tools of quantitative data analysis will be explored.
Intended Learning Outcomes
use appropriate graphs, tables and summary statistics to explore data: 1,2demonstrate the use of numerical evidence in the business environment: 1,2use appropriate techniques to measure relationships and build simple linear regression models with continuous data: 1,2apply probability to such issues as independence: 2choose from among various functional forms on the basis of their properties and apply in different business situations: 1,2apply the concept of ┐margins┐ for decision making i.e. the value of differentiation and higher order derivatives for univariate functions: 2demonstrate the ability for logical and structured problem analysis: 2demonstrate the ability to utilise a software package (Excel) for a range of statistical applications: 1
22 hours lectures8 hours problem based exercise classes4 hours computer lab classes32 hours preparation for classes24 hours assignment preparation60 hours independent study
No pre-requisite beyond programme entry requirement for grade C GCSE Mathematics or equivalent.
1: Group Presentation weighted 40%
Description of Module Assessment
Groups of students will present an analysis of summative data to other members of the module, both student and staff.Students work in groups to present basic descriptive statistics, pictures and analysis of data that they have researched and downloaded from recommended sources, e.g. Eurostat and ONS. The presentations will last approx 10 minutes and will be to other students in the module and two members of staff. They will use data already published and collated for different characteristics of the economic agents.2: Exam weighted 60%
2 hours unseen examExam comprising short exercise type questions that will cover the whole module syllabus.