Module manager: Dr Kausik Chaudhuri
Email: K.Chaudhuri@lubs.leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2017/18
LUBS1260 Mathematics for Economics and Business 1 Or LUBS1280 Mathematical Economics
| LUBS1280 | Mathematical Economics |
| MATH0111 | Elementary Diff Calculus 1 |
| MATH0212 | Elementary Integral Calculus (Version 1) |
| MATH0360 | Introduction to Applied Mathematics 1 |
| MATH0365 | Foundation Probability and Statistics |
| MATH0370 | Introduction to Applied Mathematics 2 |
| MATH0380 | Foundation Applied Mathematics for Business |
| MATH1050 | Calculus and Mathematical Analysis |
| MATH1331 | Linear Algebra with Applications |
| MATH1400 | Modelling with Differential Equations |
| MATH2600 | Numerical Analysis |
| MATH2640 | Introduction to Optimisation |
| MATH2715 | Statistical Methods |
| MATH2740 | Environmental Statistics |
| MATH3723 | Statistical Theory |
| MATH3772 | Multivariate Analysis |
This module is not approved as a discovery module
This module gives you a platform in advanced mathematical methods as it applies to business. It develops your ability to use the mathematical tools to analyse problems in business and economics. Emphasis is placed in developing ability in translating business/economic problems that students will encounter in their other modules, into mathematical models, and on solving these models.
This module aims to provide students with the mathematical techniques required to solve problems arising in business and economic analysis. The module provides grounding in the theory and application of the Matrix Algebra, Differential Calculus, Unconstrained and Constrained optimisation along with comparative statics widely used in Business and Economics.
Upon completion of this module students will be able to:
- Recognise, select and accurately apply advanced techniques in mathematics
- Identify literature that utilises advance mathematical techniques in accounting and finance, economics and management
Upon completion of this module students will be able to:
Transferable
- Perform with high levels of accuracy
Subject Specific
- Analyse issues and solve problems in accounting & finance, economics and management
- Reason logically and work analytically with abstract concepts
Indicative content:
- Linear Equations
- Multivariate Analysis in Economics
- Finance and Management
- Vector, and Matrix Algebra
- Multivariate Optimisation – Unconstrained and Constrained
- Non-Linear Programming
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Example Class | 10 | 1 | 10 |
| Consultation | 11 | 1 | 11 |
| Lecture | 13 | 1 | 13 |
| Private study hours | 66 | ||
| Total Contact hours | 34 | ||
| Total hours (100hr per 10 credits) | 100 | ||
- 1.5 hours reading per lecture: 20 hours
- 2 hours reading and preparations of homework per class: 20 hours
- Revision for mid-term test: 7 hours
- Examination revision: 30 hours.
There is a compulsory mid-term test. Feedback on this test will be given where the solutions will be provided.
The results of this test are not used in the evaluation of your final mark received in this module, but are meant to provide the student with a clear indication of the progress they are making with the material.
| Exam type | Exam duration | % of formal assessment |
|---|---|---|
| Standard exam (closed essays, MCQs etc) | 2.0 Hrs Mins | 100 |
| Total percentage (Assessment Exams) | 100 | |
The resit for this module will be 100% by examination.
The reading list is available from the Library website
Last updated: 20/12/2017
Errors, omissions, failed links etc should be notified to the Catalogue Team