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ES10095: Mathematical economics

[Page last updated: 15 October 2020]

Follow this link for further information on academic years Academic Year: 2020/1
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: Certificate (FHEQ level 4)
Further information on teaching periods Period:
Semester 2
Further information on unit assessment Assessment Summary: CW 100%
Further information on unit assessment Assessment Detail:
  • Coursework 1 (CW 50%)
  • Coursework 2 (CW 50%)
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites:
Description: Aims:
To present methods of optimization commonly used in economics; to explain their theoretical basis and give a solid understanding of the wide variety of applications in economics and game theory that these optimization techniques are applicable to.

Learning Outcomes:
On completing this unit, students should be able to:
* Recognise economic and practical problems where static and dynamic optimization methods can be applied fruitfully.
* Solve optimization problems analytically and, where appropriate, numerically by means of appropriate software (such as Mathematica).
* Implement appropriate solution algorithms, and understand their procedures.
* Recognise economic and practical problems in which game theory tools can be used effectively.
* Understand and apply the main solutions concepts from game theory, such as equilibrium in dominant strategies, Nash Equilibrium, etc.

Problem solving, abstraction, modelling of real-world optimisation problems, recognising different types of optimisation problems, using mathematical software.

I. The Mathematical Programming Problem: Unconstrained Optimization; The Method of Lagrange Multipliers; The Interpretation of Lagrange Multipliers.
II. Nonlinear Programming: The Case of No Inequality Constraints; The Kuhn-Tucker Conditions; The Kuhn-Tucker Theorem; The Interpretation of the Lagrange Multipliers; Solution Algorithms.
III. Dynamic Optimization: Formal Statement of the Problem; Costate Variables, Hamiltonians, and the Maximum Principle; Interpretation of the Costate Variables. Applications of Dynamic Optimization.
IV. Game Theory: Basic concepts of strategic games, two-person zero sum games, two-person non-zero sum games. Applications.
Further information on programme availabilityProgramme availability:

ES10095 is Compulsory on the following programmes:

Department of Economics
  • UHES-AFB04 : BSc(Hons) Economics and Mathematics (Year 1)
  • UHES-AAB04 : BSc(Hons) Economics and Mathematics with Study year abroad (Year 1)
  • UHES-AKB04 : BSc(Hons) Economics and Mathematics with Year long work placement (Year 1)
  • UHES-ACB04 : BSc(Hons) Economics and Mathematics with Combined Placement and Study Abroad (Year 1)


  • This unit catalogue is applicable for the 2020/21 academic year only. Students continuing their studies into 2021/22 and beyond should not assume that this unit will be available in future years in the format displayed here for 2020/21.
  • Programmes and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.