2023/24 Undergraduate Module Catalogue

LUBS2230 Mathematics for Business and Economics 2

10 creditsClass Size: 416

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

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2023/24

Pre-requisite qualifications

LUBS1275 Mathematics and Statistics for Economics and Business 1A
OR
LUBS1285 Mathematics and Statistics for Economics and Business 1B

This module is mutually exclusive with

MATH0111	Elementary Diff Calculus 1
MATH0212	Elementary Integral Calculus (Version 1)
MATH0370	Introduction to Applied Mathematics 2
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
Workshop	10	1.00	10.00
Lecture	13	1.00	13.00
Private study hours			77.00
Total Contact hours			23.00
Total hours (100hr per 10 credits)			100.00

Private study

This could include a variety of activities, such as reading, watching videos, question practice and exam preparation.

Opportunities for Formative Feedback

Your teaching methods could include a variety of delivery models, such as face-to-face teaching, live webinars, discussion boards and other interactive activities. There will be opportunities for formative feedback throughout the module.

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: 28/04/2023 14:49:14

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