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EC123: Mathematical Techniques B

  • Alexander Dobson

    Module Lecturer
12 CATS - Department of Economics
Spring Module
Autumn Module

Principal Aims

To develop the requisite quantitative skills for a rigorous study of contemporary economics. The module forms part of the first year core cluster EC120 Quantitative Techniques, which is made up of one module in Mathematical Techniques (A (EC121) or B (EC123)), one module in Statistical Techniques (A (EC122) or B (EC124)) as well as Computing and Data Analysis (EC125).

Principal Learning Outcomes

By the end of this module students will acquire the tools of quantitative methods necessary to study core and optional first and second year modules in economics for the single honours course in Economics; develop further their techniques of statistical methods and statistical modelling;

generate an awareness and analysis of data and of data handling.


Prerequisite. You will be expected to have a good knowledge of A level algebra and calculus including the rules of differentiation and integration (which will not be taught).

The module will typically cover the following topics:

Calculus of functions of two or more variables; Unconstrained and constrained optimisation; Comparative statics; Matrix algebra; Difference equations; Applications of all techniques in economics.


Pre or Co-requisites
For Economics joint degree course students A-level in Mathematics, or equivalent.
Pre-requisite for
EC203, EC220, EC221, EC226
This module is restricted to LM1D/LLD2, V7ML and Joint Economics and Modern Language students and L1L8 students on Route B.
Part-year Availability for Visiting Students
Available in the Autumn term only (1 x test - 4.8 CATS)


Assessment Method
Coursework (25%) + 1.5 hour exam (75%)
Coursework Details
Two 50 min tests (1 x 12% + 1 x 13%)
Exam Timing

Exam Rubric

Time Allowed: 1.5 Hours, plus 15 minutes reading time during which notes may be made (on the question paper) BUT NO ANSWERS MAY BE BEGUN.

Answer ALL SEVEN questions. Answer questions 1-4 in one booklet and questions 5-7 in a separate booklet

Approved pocket calculators are allowed.

Read carefully the instructions on the answer book provided and make sure that the particulars required are entered on each answer book.

Previous exam papers can be found in the University’s past papers archive. Please note that previous exam papers may not have operated under the same exam rubric or assessment weightings as those for the current academic year. The content of past papers may also be different.

Reading Lists