MATH20330 Optimisation for Economics

Academic Year 2022/2023

This module introduces students to mathematical techniques used in all aspects of economics. Topics covered include calculus of functions of one and several variables, matrix algebra, unconstrained and constrained optimization. Emphasis will be on how to use mathematics to formulate and solve problems in economics.

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Curricular information is subject to change

Learning Outcomes:

On completion of this module students should be able to:

differentiate functions of several variables

optimize functions of several variables with and without constraints

perform calcuations with matrices, including inversion

use matrices to solve systems of linear equations

apply mathematical techniques to solve economics problems

Student Effort Hours: 
Student Effort Type Hours
Lectures

18
Tutorial

10
Autonomous Student Learning

100
Total

128
Approaches to Teaching and Learning:
lectures, tutorials, problem-based learning 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Incompatibles:
MATH10030 - Maths for Business


 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Examination: Final summative assessment 2 hour End of Trimester Exam No Alternative linear conversion grade scale 40% No

50
Class Test: 60 minute test - possibly MCQ Week 7 n/a Alternative linear conversion grade scale 40% No

30
Continuous Assessment: Online homeworks Throughout the Trimester n/a Alternative linear conversion grade scale 40% No

20

Carry forward of passed components
No
 
Resit In Terminal Exam
Spring Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Dr Conor Finnegan Lecturer / Co-Lecturer
Andrew Mullins Tutor