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ECON20240

Academic Year 2025/2026

R for Economists (ECON20240)

Subject:
Economics
College:
Social Sciences & Law
School:
Economics
Level:
2 (Intermediate)
Credits:
5
Module Coordinator:
Professor Morgan Kelly
Trimester:
Autumn
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This is a practical course in using R. Specifically it goes through all necessary steps in undertaking a project.

1. Cleaning data.
2. Visualizing data.
3. Regression analysis.
4. Basic machine learning.
5. Generate a finished paper.

About this Module

Learning Outcomes:

By the end you should be able to take a dataset, analyze it intelligently, and present your results as a complete paper.

Indicative Module Content:

The course covers the basic steps in moving from a dataset to a completed project write up.

Student Effort Hours:
Student Effort Type Hours
Lectures

24
Practical

12
Autonomous Student Learning

100
Online Learning

10
Total

146

Approaches to Teaching and Learning:
The important feature is that this is not a course in programming, but instead on the practical use of R for the sort of problems that we encounter in economics.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Incompatibles:
ECON30520 - R for Economists, STAT20250 - Data Programming with R, STAT30340 - Data Programming with R (BLD), STAT40730 - Data Prog with R (Online), STAT40830 - Adv Data Prog with R (online)


 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Assignment(Including Essay): You will be given a data set to analyze and write up your results in the form of a short academic paper, using the methods covered in the course. Week 15 Standard conversion grade scale 40% No
100
 No

Carry forward of passed components
No
 

Resit In Terminal Exam
Spring No
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Autumn Lecture Offering 1 Week(s) - 1, 2, 3, 8, 9 Mon 14:00 - 14:50
Autumn Lecture Offering 1 Week(s) - 4, 7, 10, 11, 12 Mon 14:00 - 14:50
Autumn Lecture Offering 1 Week(s) - 5 Mon 14:00 - 14:50
Autumn Lecture Offering 1 Week(s) - 6 Mon 14:00 - 14:50
Autumn Lecture Offering 1 Week(s) - 1, 2, 4, 5, 6, 9, 10, 11 Wed 12:00 - 12:50
Autumn Lecture Offering 1 Week(s) - 12 Wed 12:00 - 12:50
Autumn Lecture Offering 1 Week(s) - 3 Wed 12:00 - 12:50
Autumn Lecture Offering 1 Week(s) - 7 Wed 12:00 - 12:50
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