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ES50107: Computational economics

Follow this link for further information on academic years Academic Year: 2019/0
Further information on owning departmentsOwning Department/School: Department of Economics
Further information on credits Credits: 6      [equivalent to 12 CATS credits]
Further information on notional study hours Notional Study Hours: 120
Further information on unit levels Level: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Semester 2
Further information on unit assessment Assessment Summary: CW 50%, EX-TH 50%*
Further information on unit assessment Assessment Detail:
  • Coursework* (CW 50%)
  • Open book, 72 hour take-home exam* (EX-TH 50%)

*Assessment updated due to Covid-19 disruptions
Further information on supplementary assessment Supplementary Assessment:
ES50107 Reassessment (where allowed by programme regulations)
Further information on requisites Requisites:
Further information on descriptions Description: Aims:
The unit aims to introduce students to methods used to solve economic and financial problems computationally.

Learning Outcomes:
At the end of the unit students will be expected to be able to:
* Use Matlab to solve economic problems numerically
* Evaluate the benefits and shortcomings of numerical methods in a variety of contexts
* Assess the limits of computational methods to solve economic problems


* Apply numerical methods to solve for equilibria in economic systems (TFA)
* Apply numerical methods to improve the statistical assessment of data (TFA)
* Use numerical methods to price assets (TFA)


* Programming in Matlab
* Numerical methods to solve for the equilibrium of linear and non-linear economic systems
* Numerical methods to simulate asset prices and derivatives
* The use of Monte-Carlo methods to solve economic optimization problems
* Computational methods used in statistical inference.
Further information on programme availabilityProgramme availability:

ES50107 is Optional on the following programmes:

Department of Economics