2019/20 Undergraduate Module Catalogue

LUBS2230 Mathematics for Business and Economics 2

10 creditsClass Size: 318

Module manager: Dr Kausik Chaudhuri
Email: K.Chaudhuri@lubs.leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2019/20

Pre-requisite qualifications

LUBS1260 Mathematics for Economics and Business 1
Or
LUBS1280 Mathematical Economics

This module is mutually exclusive with

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

Module summary

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.

Objectives

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.

Learning outcomes
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

Skills outcomes
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

Syllabus

Indicative content:
- Linear Equations
- Multivariate Analysis in Economics
- Finance and Management
- Vector, and Matrix Algebra
- Multivariate Optimisation – Unconstrained and Constrained
- Non-Linear Programming

Teaching methods

Delivery type	Number	Length hours	Student hours
Example Class	10	1.00	10.00
Consultation	11	1.00	11.00
Lecture	13	1.00	13.00
Private study hours			66.00
Total Contact hours			34.00
Total hours (100hr per 10 credits)			100.00

Private study

- 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.

Opportunities for Formative Feedback

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.

Methods of assessment

Exams

Exam type	Exam duration	% of formal assessment
Standard exam (closed essays, MCQs etc)	2 hr	100.00
Total percentage (Assessment Exams)		100.00

The resit for this module will be 100% by 2 hour examination.

Reading list

The reading list is available from the Library website

Last updated: 30/04/2019

Disclaimer

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