ECO-10026 - Quantitative Methods I
Coordinator: Alena Audzeyeva Tel: +44 1782 7 33271
Lecture Time: See Timetable...
Level: Level 4
Credits: 15
Study Hours: 150
School Office: 01782 733094

Programme/Approved Electives for 2024/25

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

No

Barred Combinations

No

Description for 2024/25

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: 1,2
demonstrate the use of numerical evidence in the business environment: 1,2
use appropriate techniques to measure relationships and build simple linear regression models with continuous data: 1,2
apply the concept of optimisation for decision making in business situations: 1
choose from among various functional forms on the basis of their properties and apply in different business situations: 1
apply the concept of ¿margins¿ for decision making i.e. the value of differentiation and higher order derivatives for univariate functions
: 1
demonstrate the ability for logical and structured problem analysis: 1,2

Study hours

18 hours lectures
6 hours problem based exercise classes
32 hours preparation for classes
24 hours preparation for on-line test
70 hours independent study

School Rules

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