Economic Analysis with MATLAB ECON4101
- Academic Session: 2021-22
- School: Adam Smith Business School
- Credits: 15
- Level: Level 4 (SCQF level 10)
- Typically Offered: Either Semester 1 or Semester 2
- Available to Visiting Students: Yes
- Available to Erasmus Students: Yes
The course provides further insights into linear and matrix algebra, compared to material covered in Economics level 1 and 2 courses. The course considers a variety of economic applications using computational methods that are now commonly expected from an economics graduate.
10 x 2-hour lectures.
1 x 1-hour revision lecture held out with normal teaching hours.
10 x 1-hour labs in MATLAB.
Requirements of Entry
Entry to an Honours programme in Economics or a minimum grade C3 (average) in Economics 2A and 2B for students taking an Honours programme in another subject.
Main Assessment In: April/May
Are reassessment opportunities available for all summative assessments? Not applicable for Honours courses
Reassessments are normally available for all courses, except those which contribute to the Honours classification. For non-Honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions for this course are described below.
■ Provide students with an appreciation of the variety of applications of simple matrix algebra in economics and related social sciences;
■ develop confidence in applying those methods with the use of standard software package (MATLAB);
■ build a basic understanding of programming techniques.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
1. perform matrix operations to solve a set of simultaneous linear equations;
2. carry out spectral decomposition of a matrix;
3. manipulate matrices using MATLAB;
4. apply matrix algebra in economics;
5. design and critically comment on the basic programming necessary for applications in economics.
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.