Quantitative Methods
Module Code: ECU44172/ECU44174
Module Name: Quantitative Methods
- ECTS weighting: 10/5
- Semester/term taught: Semester 2
- Contact Hours: 22 hours of lectures and 4 hours of tutorials
- Module Personnel: Lecturer – Professor Paul Scanlon
Module Learning Aims
The objective of the module is to furnish students sufficient quantitative skills to analyse and perform advanced research in economics.
Module Learning Outcomes
- 1. Understand cutting-edge research in economics.
- 2. Replicate and expand existing economic models.
- 3. Develop intuition for mathematical modelling and optimality conditions.
Module Content
- 1. Differential and difference equations
- 2. Dynamic optimization and Economic Applications
- 3. Dynamic Programming
- 4. Stochastic calculus
Recommended Reading List
- Hoy, Michael et al., Mathematics for Economics, any edition, MIT Press.
Module Pre Requisites
ECU33081, ECU33082, ECU33091, ECU33092
Assessment Details
For 10 ETCS students, a term test will comprise 20% of course grade, while the final will count for the remaining 80%.
For 5 ETCS students, the term test will comprise 100% of the final grade.
Module Website
Blackboard