ECON42420 Preliminary Maths & Stats

Academic Year 2019/2020

This is an intensive two-week module that covers the mathematical and statistical methods that are required for the MSc programmes in Economics. Half of the course focuses on linear algebra and optimisation methods and the other half focuses on statistics.

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Curricular information is subject to change

Learning Outcomes:

On completion of the course, students will have a sound understanding of the mathematical and statistical concepts required for studying economics in the MA programme.

Student Effort Hours: 
Student Effort Type Hours
Lectures

24
Autonomous Student Learning

40
Total

64
Approaches to Teaching and Learning:
Lectures and regular problem sets. 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Class Test: Midterm examination Week 1 n/a Standard conversion grade scale 40% No

20
Examination: Final Exam Week 3 No Standard conversion grade scale 40% No

80

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

• 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 midterm and final exams and receive individual feedback from the lecturer upon request. Students will have regular self-assessment sheets with solutions.

Chiang and Wainwright - Fundamental methods of mathematical economics.
Verbeek - A guide to modern econometrics
Wooldridge - Introductory econometrics
Name Role
Professor Orla Doyle Lecturer / Co-Lecturer
Mr Matthew Shannon Lecturer / Co-Lecturer