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Mathematics and Statistics A

Module Code: ECU11021

Module Name: Mathematics and Statistics A

  • ECTS Weighting: 5
  • Semester/Term Taught: Semester 1
  • Contact Hours: 22 hours of lectures and 10 hours of tutorials
  • Lecturers : Professor Martina Kirchberger

Learning Outcomes

Satisfactory completion of this module will contribute to the development of the following key skills:

  • Abstraction from concrete problems to generic concepts;
  • Problem solving using quantitative methods;
  • Explaining quantitative reasoning in clear, concise, and correct English.

Module Learning Aims

In mathematics, as applied to business, economics, and the social sciences, we mainly ask questions like: how can we model and analyse individuals' decisions? How do these change if the environment changes? What happens to economic output if wages change?

Module Content

  • Linear and quadratic functions;
  • Indices and logarithms;
  • Matrices;
  • Differentiation;
  • Optimisation of functions of one variable;
  • Partial differentiation;
  • Constrained and unconstrained optimisation of functions of several variables;
  • Basic integration.

Recommended Texts

Ian Jacques, Mathematics for Economics and Business, 9e, Pearson.

Module Pre Requisite


Assessment Details

  • 20% for the midterm test
  • 20% for homeworks
  • 60% for the annual exam

Module Website