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EC125NU - Introductory Quantitative Methods in Economics and Business

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EC125NU-Introductory Quantitative Methods in Economics and Business

Module Provider: School of Politics, Economics and International Relations
Number of credits: 20 [10 ECTS credits]
Level:4
Terms in which taught: Autumn term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Current from: 2021/2

Module Convenor: Prof Simonetta Longhi
Email: s.longhi@reading.ac.uk

Module Co-convenor: Dr Stefania Lovo
Email: s.lovo@reading.ac.uk

Type of module:

Summary module description:

This module is designed to help students make sense of data, to become an effective user of data as well as to carry out simple data analysis by exploring a range of statistical techniques. ÌýÌý



Module Lead:ÌýÌýQijun Qiu (qiu-qijun@163.com)


Aims:

The study of economics requires the use of quantitative methods to a greater or lesser extent. This module aims to help students to understand the use of standard techniques. An important objective is to provide sufficient background to allow students to understand more specialised techniques used in Part 2 and Part 3 modules.


Assessable learning outcomes:

To undertake quantitative problem solving across a range of subjects taught in the Department of Economics.Ìý


Additional outcomes:

Familiarity with Microsoft Excel.Ìý


Outline content:

A range of techniques including: presenting and summarising data; descriptive statistics; normal distribution; sample distribution of the mean; measures of inequality; probability; correlation; introduction to the simple regression model and hypothesis testing.


Brief description of teaching and learning methods:

The module offers an introduction to a range of quantitative techniques applicable in economics and finance. Lectures cover the main module material, supported by tutorials and PC classes.


Contact hours:
Ìý Autumn Spring Summer
Lectures 72
Tutorials 12
Practicals classes and workshops 12
Guided independent study: Ìý Ìý Ìý
Ìý Ìý Other 104
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Total hours by term 0 0
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Total hours for module 200

Summative Assessment Methods:
Method Perce