
- UCAS course code
- LN13
- UCAS institution code
- M20
Course unit details:
Introduction to Mathematical Economics
Unit code | ECON10192 |
---|---|
Credit rating | 10 |
Unit level | Level 1 |
Teaching period(s) | Semester 2 |
Offered by | School of Social Sciences |
Available as a free choice unit? | Yes |
Overview
Prepare Students for the study of intermediate and advanced topics in Mathematical Economics. This unit is to introduce students to those mathematical techniques that are required in the study of advanced economic theory
By the end of the course students will have
Understand the concepts of proof and counter example
Expanded mathematical toolbox for mathematical economics
Pre/co-requisites
Unit title | Unit code | Requirement type | Description |
---|---|---|---|
Adv Maths - BAEcon & BSc Econ | ECON10071 | Pre-Requisite | Compulsory |
Aims
Prepare Students for the study of intermediate and advanced topics in Mathematical Economics. This unit is to introduce students to those mathematical techniques that are required in the study of advanced economic theory.
Learning outcomes
By the end of the course, you will:
- Understand the concepts of proof and counter example.
- Have expanded your mathematical toolbox for mathematical economics.
Syllabus
Sequences, limits, and sets. Open, closed, and compact sets
Continuity and differentiability
Concavity and quasi-concavity
Constrained optimization with many inequality constraints, Lagrangian methods, and applications to economics.
Teaching and learning methods
The learning and teaching process centres on two key forms of delivery, lectures, tutorials and exercise classes, and the material provided through Blackboard.
Employability skills
- Analytical skills
- Problem solving
Assessment methods
70% Exam
15% Coursework
15% Coursework
Feedback methods
Recommended reading
Simon, C. and Blume, L. (2010) Mathematics for Economists, International Student Edition, Norton, NY.
Study hours
Independent study hours | |
---|---|
Independent study | 0 |
Teaching staff
Staff member | Role |
---|---|
Christopher Wallace | Unit coordinator |
Additional notes
For every 10 course unit credits we expect students to work for around 100 hours. This time generally includes any contact times (online or face to face, recorded and live), but also independent study, work for coursework, and group work. This amount is only a guidance and individual study time will vary