This module is discontinued in the selected year. The information shown below is for the academic year that the module was last running in, prior to the year selected.

2018/19 Undergraduate Module Catalogue

LUBS1260 Mathematics for Economics and Business 1

10 creditsClass Size: 250

Module manager: Tadeusz Gwiazdowski
Email: T.Gwiazdowski@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2018/19

Pre-requisite qualifications

GCSE Math Grade A

This module is mutually exclusive with

LUBS1535	Excel for Business Analytics
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
MATH1400	Modelling with Differential Equations

This module is not approved as a discovery module

Module summary

This module covers topics including basic algebra, functions, differentiation, maxima and minima, curve sketching, partial differentiation, Integration, logarithms and exponentials, optimal timing, and analysis, limits and continuity. It is intended to provide both an introduction to these topics for students with a less mathematical background and a refresher for those looking to enhance their existing understanding of fundamental mathematical methods.PLEASE NOTE: This module is NOT available to any students on single or joint honours programmes in Mathematics.

Objectives

This module aims to provide students with core skills in areas of mathematics fundamental to other taught topics undertaken as part of first and second year Leeds University Business School (LUBS) courses. It introduces the basic mathematical and statistical tools that are pre-requisites for understanding economics and business.

Learning outcomes
Upon completion of this module students will be able to recognise:
- fundamental elements of mathematical theorem associated with basic mathematical and statistical tools
- economics, accounting and industrial studies literature that utilises the mathematical theory

Skills outcomes
Upon completion of this module students will be able to:
Transferable
- think critically

Subject specific
- utilise applied mathematics as a problem solving tool
- solve common accounting, economics, and finance problems using mathematics methods that require the application of algebra, calculus and optimal timing

Syllabus

Indicative content:
Basic algebra; functions; differentiation; maxima and minima; curve sketching; partial differentiation; Integration; logarithms and exponentials; optimal timing; and analysis, limits and continuity.

Teaching methods

Delivery type	Number	Length hours	Student hours
Lecture	20	1.00	20.00
Tutorial	5	1.00	5.00
Private study hours			75.00
Total Contact hours			25.00
Total hours (100hr per 10 credits)			100.00

Private study

Student will be required to engage with the lecture and tutorial material and in particular solve independently problems which will deepen their understanding of the material.

Opportunities for Formative Feedback

Students will complete weekly workshop exercises, periodic tests and will also be given the opportunity to attempt mock examinations. Comments and marks received for these tests are not part of the formal module-exam, and are intended solely to assist students with their exam preparations.

Methods of assessment

Exams

Exam type	Exam duration	% of formal assessment
Standard exam (closed essays, MCQs etc)	1 hr 30 mins	100.00
Total percentage (Assessment Exams)		100.00

The resit for this module will be 100% by 1.5 hour examination.

Reading list

The reading list is available from the Library website

Last updated: 12/12/2018 10:48:53

Disclaimer

Browse Other Catalogues

• Undergraduate module catalogue
• Taught Postgraduate module catalogue
• Undergraduate programme catalogue
• Taught Postgraduate programme catalogue

Errors, omissions, failed links etc should be notified to the Catalogue Team.PROD