PhD Applied Computational Economics
| Code | School | Level | Credits | Semesters |
| ECON5008 | Economics | 5 | 20 | Spring UK |
- Code
- ECON5008
- School
- Economics
- Level
- 5
- Credits
- 20
- Semesters
- Spring UK
Summary
This course is intended for PhD students wishing to familiarise themselves with the latest techniques in computational economics and machine learning.
Target Students
Available for first year PhD students in the School of Economics.
Classes
This module is delivered through a combination of lectures and tutorials.
Assessment
- 100% Coursework 1: 3000 words
Assessed by end of spring semester
Educational Aims
To learn new techniques in computation economics and machine learning.Learning Outcomes
By the end of the module, students should be familiar with new techniques and methodologies in the area, and should be able to understand how these can be applied to datasets.
Conveners
Last updated 07/01/2025.