## LUBS1260 Mathematics for Economics and Business 1

### 10 creditsClass Size: 250

Email: T.Gwiazdowski@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2017/18

### 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 examination.