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2011/2 Provisional Module Catalogue - UNDER CONSTRUCTION & SUBJECT TO CHANGE
 Module Code: ECO1017 Module Title: ECONOMIC DATA ANALYSIS
Module Provider: Economics Short Name: ECO1017
Level: HE1 Module Co-ordinator:
Number of credits: 15 Number of ECTS credits: 7.5
 
Module Availability
Spring
Assessment Pattern
Unit(s) of Assessment 

Weighting Towards Module 
Mark (%)
Coursework 1

30
Coursework 2 - Report

70

Qualifying Condition(s)
A weighted aggregate mark of 40% is required to pass this module
Module Overview
Economics is a data-driven subject and figures on growth, unemployment, spending and inflation provide the raw material for many of the theories that dominate the subject.
This module adopts a dual aproach to exploring the data on which economics relies. Lectures will be focused on understanding the data, discussing the measurement issues which arise in producing the key macroeconomic data series. The laboratory sessions will be focused on using the data, developing students understanding or interpreting and presenting data series using Excel
Prerequisites/Co-requisites
None
Module Aims

To promote an understanding of how data is used by economicsts and develop students Excel skills so that they can competently analysis real data using a range of techniques
Learning Outcomes

At the end of the module students should:-

  • understand the key issues involved in the measurement of GDP, consumer prices and unemployment
  • be aware of the main trends in these variables since the 1950s
  • be able to interpret graphs and charts containing economic data
  • be able to produce clear and interpretable graphs using Microsoft Excel
  • use the descriptive functions in Excel and interpret the results they find
  • produce a written report on one series of macroeconomic data, describing its measurement and evolution over time using the skills learned in the module
Module Content

Likely topics include:-

  • measuring GDP
  • measuring consumer prices
  • an introduction to labour market statistics
  • using Excel to produce descriptive statistics and charts
Methods of Teaching/Learning

This module will be a mixture of lectures and lab sessions
Selected Texts/Journals

To be decided
Last Updated

10 March 2011