Study information

# Introduction to Quantitative Methods

Module title Introduction to Quantitative Methods INT3626 2023/4 15
 Duration: Term Duration: Weeks 1 2 3 10 2
 Number students taking module (anticipated) 10

## Module description

Many decisions in society are informed by an understanding of current trends and patterns. This is an increasingly important part of working life. This module introduces you to useful tools needed to search for, analyse and understand data.

You will learn the basics of statistical inference including probability; confidence intervals and how to identify patterns in data. You will also have an opportunity to apply statistical techniques to analyse and interpret real world data.

You will use STATA for analysis including creating variables, producing descriptive statistics and interpreting them. This module is essential for any student wishing to pursue a degree in data science or computer programming and will be of interest to any student intending to follow a decision-making career or further empirical study.

A reasonable numeracy level will be required before joining the module.

## Module aims - intentions of the module

You will be introduced to standard procedures used in the collection and analysis of data. You will consider current research and the use made of data handling techniques in that research. You will carry out a very small scale research project in their own area of interest and apply statistical techniques to analyse and interpret data. The module aims to introduce you to the skills needed to apply statistical techniques in the workplace or to undertake further study in this area.

## Intended Learning Outcomes (ILOs)

### ILO: Module-specific skills

On successfully completing the module you will be able to...

• 1. Demonstrate an understanding of data collection and sampling methods.
• 2. Demonstrate an ability to manipulate and summarise data.
• 3. Demonstrate an understanding of probability and statistical distributions, including their limitations.

### ILO: Discipline-specific skills

On successfully completing the module you will be able to...

• 4. Accurately deploy established graphical methods of displaying data.
• 5. Critically evaluate a current piece of research.

### ILO: Personal and key skills

On successfully completing the module you will be able to...

• 6. Communicate statistical information to specialist and non-specialist audiences.
• 7. Initiate and carry out a small project.
• 8. Demonstrate an ability to use quantitative methods in real life.

## Syllabus plan

• Types of data, sources of data

• Data collection methods including bias, uncertainty and missing data.

• Presenting data

• Summarising data

• Probability

• Confidence intervals

• Linear regression

• Probability distributions: Normal distribution and Binomial distribution

## Learning activities and teaching methods (given in hours of study time)

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad
6090

## Details of learning activities and teaching methods

CategoryHours of study timeDescription
Scheduled Learning and Teaching Activities 60Small group teaching
Guided Independent Study 50Completing exercise sheets and studying research articles
Guided Independent Study 40Small project involving collection and interpretation of data

## Formative assessment

Form of assessmentSize of the assessment (eg length / duration)ILOs assessedFeedback method
Fortnightly Exercise Sheets In class tests 2 hours each 1 hour each x 5 1, 2, 3, 4, 8 1,2,3,4,5,6 Verbally in class or written feedback on script.
Report commenting on a piece of current research 400 words 5, 6Discussion with Peers
Small scale individual report 800 words 1,2,3,4,7,8 Peer review and written and verbal feedback

## Summative assessment (% of credit)

CourseworkWritten examsPractical exams
9010

## Details of summative assessment

Form of assessment% of creditSize of the assessment (eg length / duration)ILOs assessedFeedback method
In-Class Tests x 1101 hour2, 3, 4Written and verbally in class
Presentation: evaluation of piece of current research 2010 minutes per person + 5 minutes question/answer 5, 6 Peer review and verbal feedback on presentation
Individual Quantitative Project report 701,200 words including tables and diagrams 1, 2, 3, 4, 7, 8Written feedback on formal application

## Details of re-assessment (where required by referral or deferral)

Original form of assessmentForm of re-assessmentILOs re-assessedTimescale for re-assessment
All Assessments (Referral) Individual Quantitative Project report  revised and discussed by Viva 1-8 Next assessment period
Individual Assessments (Deferral) Deferred assessment as above As assessed by original assessment Next available assessment period

## Re-assessment notes

Deferral –if you miss an assessment for reasons judged legitimate by the Mitigation Committee, the applicable assessment will normally be deferred.â?¯ See ‘Details of re-assessment’ for the form that assessment usually takes. When deferral occurs there is ordinarily no change to the overall weighting of that assessment.

Referral –if you have failed the module overall (i.e. a final overall mark of less than 40% achieved) you will be required to attend a Viva to discuss the research in your (revised) individual reportâ?¯ Only your performance in this exam will count towards your final module grade.â?¯ A grade of 40% will be awarded if the examination is passed.

## Indicative learning resources - Basic reading

• Spiegelhalter D.J. (2021) The Art of Statistics: How to Learn from Data. ISBN: 9781541675704

• Rowntree D. (2004) Statistics without Tears.  ISBN: 9780205395095

## Indicative learning resources - Web based and electronic resources

Web-based and electronic resources:

• ELE – College to provide hyperlink to appropriate pages

### Key words search

Data sampling, Probability, Data collection, Linear regression, Data Science

Credit value 15 7.5 None None 6 No 01/05/2022 04/07/2023