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 2019/20

None

Available as a Free Standing Elective

Yes

Co-requisites

None

Prerequisites

No pre-requisite beyond programme entry requirement for grade C GCSE Mathematics or equivalent.
Barred for students with AS Mathematics/Physics grade C or above (or the equivalent).

Barred Combinations

None

Description for 2019/20

This module is designed to offer essential quantitative skills useful for undergraduate core courses in the Management 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.

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; will be achieved by assessments: 01, 02, 03
demonstrate the ability to utilise a software package (Excel) for a range of statistical applications; will be achieved by assessments: 01, 02
demonstrate the use of numerical evidence in the business environment; will be achieved by assessments: 01, 02
use appropriate techniques to measure relationships and build simple linear regression models with continuous data; will be achieved by assessments: 01, 02, 03
apply probability to such issues as independence; will be achieved by assessments: 02, 03
choose from among various functional forms on the basis of their properties and apply in different business situations; will be achieved by assessments: 01, 02, 03
apply the concept of ┐margins┐ for decision making i.e. the value of differentiation and higher order derivatives for univariate functions;
will be achieved by assessments: 03
demonstrate the ability for logical and structured problem analysis. will be achieved by assessments: 01, 02, 03

Study hours

24 hours lectures
8 hours problem based exercise classes
5 hours computer lab classes
30 hours preparation for classes
20 hours assignment preparation
63 hours independent study

School Rules

None

Description of Module Assessment

1: Group Presentation weighted 30%
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: Laboratory Report weighted 20%
Individual 500-750 word report on a computer lab class
Written presentation of the computer lab exercises, in the style of a report for the Managing Director. This will use larger individual records of data for either individuals or firms.

3: Exam weighted 50%
2 hours unseen exam
Exam comprising short exercise type questions that will cover the whole module syllabus.