Learning Outcomes:
On completion of the module, students will have a thorough understanding of the mathematical and statistical concepts required for studying economics in the MSc programme.
Curricular information is subject to change.
This is an intense course of lectures to provide you with the key ideas in mathematics and statistics that you will need to pursue the MSc. If you have a strong mathematics background, then most or all of this will be familiar to you. The emphasis is on intuition & applications rather than mathematical rigour. There will be no proofs in general.
The content is divided between linear algebra, calculus and statistics.
The content is divided between linear algebra, calculus and statistics.
About this Module
Student Effort Hours:
| Student Effort Type | Hours |
|---|---|
| Lectures | 24 |
| Autonomous Student Learning | 76 |
| Total | 100 |
Approaches to Teaching and Learning:
In class lectures and regular problem sets.Requirements, Exclusions and Recommendations
Not applicable to this module.
Module Requisites and Incompatibles
Not applicable to this module.
| Remediation Type | Remediation Timing |
|---|---|
| In-Module Resit | Prior to relevant Programme Exam Board |
Feedback Strategy/Strategies
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Self-assessment activities
How will my Feedback be Delivered?
Students will be given solutions to the assignments and final examination and receive individual feedback from the lecturer upon request. Students will have regular self-assessment sheets with solutions.
Alpha Chiang & Kevin Wainwright Fundamental methods of mathematical economics (4th ed.)
Michael Hoy et al Mathematics for Economists (4th ed.)
Avinash Dixit Optimization in economic theory (2nd ed.)
Silvanus Thompson Calculus Made Easy (2022 edition)
William Greene Econometric Analysis (8th ed)
Michael Hoy et al Mathematics for Economists (4th ed.)
Avinash Dixit Optimization in economic theory (2nd ed.)
Silvanus Thompson Calculus Made Easy (2022 edition)
William Greene Econometric Analysis (8th ed)
| Name | Role |
|---|---|
| Ms Deirdre Coy | Lecturer / Co-Lecturer |
| Mr Tadgh Hegarty | Lecturer / Co-Lecturer |
| Mr Matthew Shannon | Lecturer / Co-Lecturer |