Please note: there may be some adjustments to the teaching arrangements published in the course catalogue for 2020-21. Given current circumstances related to the Covid-19 pandemic it is anticipated that some usual arrangements for teaching on campus will be modified to ensure the safety and wellbeing of students and staff on campus; further adjustments may also be necessary, or beneficial, during the course of the academic year as national requirements relating to management of the pandemic are revised.

Mathematical Methods ECON5082

  • Academic Session: 2022-23
  • School: Adam Smith Business School
  • Credits: 20
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Runs Throughout Semesters 1 and 2
  • Available to Visiting Students: No
  • Available to Erasmus Students: No

Short Description

The course is devoted to essential quantitative methods that are foundational to study in the core macroeconomics, microeconomics and econometrics.

Timetable

40 hours of lectures, 20 in Semester 1 and 20 in semester 2, plus 10 hrs of tutorials.

Requirements of Entry

None

Excluded Courses

None

Co-requisites

None

Assessment

ILOs Being Assessed

Assessment

Weighting

Duration/Word Count

1 

In-Course Test

30%

90 mins 

 1,2

Degree Exam

70%

120 mins 

 

Main Assessment In: April/May

Course Aims

The course provides students with mathematical methods necessary to successfully complete core and advanced courses and Dissertation in MRes in Economics. The course introduces techniques used at the current forefront of Economic research to prepare students for independent graduate research in Economics at MRes and PhD levels. 

Intended Learning Outcomes of Course

By the end of this course students will be able to:

1 Define and critically evaluate a wide range of fundamental concepts and techniques in mathematics and

statistics, informed by forefront developments and relevant to the other core courses

2 Creatively and appropriately select and apply these concepts and techniques in economics research, by

solving advanced specialized mathematical and statistical models, akin to those developed on the forefront

Minimum Requirement for Award of Credits

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.