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 online revision lecture held out with normal teaching hours.

10 x 1-hour labs in MATLAB.

None.

1. In-course exam: online; Individual; 60 minutes; 30%; ILOs 1-3.

2. Project output; Group; 10 pages; 70%; ILOs 1-6.

■ 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.

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

1. apply matrix operations to solve a set of simultaneous linear equations;

2. apply spectral decomposition of a matrix to solve a set of dynamic linear system of equations;

3. use MATLAB to solve systems of non-linear dynamic equations;

4. apply matrix algebra in economics;

5. design and critically comment on the basic programming necessary for applications in economics.

6. contribute effectively to a collaborative project, producing a combined submission through coordinated group effort.