2021/22 Undergraduate Module Catalogue
LUBS2230 Mathematics for Business and Economics 2
10 creditsClass Size: 306
Module manager: Dr Kausik Chaudhuri
Email: K.Chaudhuri@lubs.leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2021/22
Pre-requisite qualifications
LUBS1275 Mathematics and Statistics for Economics and Business 1AOR
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 |
| 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
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 websiteLast updated: 06/10/2021 11:33:22
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- Undergraduate module catalogue
- Taught Postgraduate module catalogue
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