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ECON10790

Academic Year 2025/2026

Mathematics for Economists (ECON10790)

Subject:
Economics
College:
Social Sciences & Law
School:
Economics
Level:
1 (Introductory)
Credits:
5
Module Coordinator:
Dr Sarah Parlane
Trimester:
Autumn
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module introduces students to mathematical methods used in solving economic problems.
It will cover: algebra, linear and quadratic equations, optimization techniques.
These quantitative techniques will be illustrated by application to basic economic concepts.

About this Module

Learning Outcomes:

On completion of this module students should:
1. Have a sound knowledge of basic quantitative techniques in economics
2. Be able to apply these skills to solving economic problems
3. Have acquired the necessary quantitative skills for studying various level 2 and level 3 economic modules.

Indicative Module Content:

Algebra
Linear equations
Quadratic equations
Optimization

Student Effort Hours:
Student Effort Type Hours
Lectures

24
Tutorial

10
Autonomous Student Learning

80
Total

114

Approaches to Teaching and Learning:
The module is mostly taught using a problem based learning approach.
All of the concepts that are introduced in class are illustrated using exercises.

The module is mostly taught using a problem based learning approach.
All of the concepts that are introduced in class are illustrated using exercises.

Students can use AI when studying and revising should they feel it enhances their understanding of the concepts explained in class.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Incompatibles:
ECON10030 - Intro Quantitative Economics


 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Exam (In-person): End of term examination End of trimester
Duration:
2 hr(s)
 Alternative linear conversion grade scale 40% No
60
 No
Exam (In-person): Midterm examination Week 7 Alternative linear conversion grade scale 40% No
40
 No

Carry forward of passed components
No
 

Resit In Terminal Exam
Spring Yes - 1 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Self-assessment activities

How will my Feedback be Delivered?

Feedback given after each examination and via Quizzes

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