Programme/Approved Electives for 2024/25
None
Available as a Free Standing Elective
No
This module is designed to offer essential quantitative skills useful for undergraduate core courses in the Business School and for analysis of quantitative business-related information.
Aims
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 the concept of optimisation for decision making in business situations: 1choose from among various functional forms on the basis of their properties and apply in different business situations: 1apply the concept of ¿margins¿ for decision making i.e. the value of differentiation and higher order derivatives for univariate functions: 1demonstrate the ability for logical and structured problem analysis: 1,2
18 hours lectures6 hours problem based exercise classes32 hours preparation for classes24 hours preparation for on-line test70 hours independent study
No pre-requisite beyond programme entry requirement for grade C GCSE Mathematics or equivalent.
Description of Module Assessment
1: Online Tasks weighted 60%2 hours computer-based test
2: Class Test weighted 40%The assessment represents a 50-minute on-line computer test