Module manager: Tadeusz Gwiazdowski
Email: T.Gwiazdowski@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2018/19
GCSE Math Grade A
| 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
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.
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.
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
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
Indicative content:
Basic algebra; functions; differentiation; maxima and minima; curve sketching; partial differentiation; Integration; logarithms and exponentials; optimal timing; and analysis, limits and continuity.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lecture | 20 | 1 | 20 |
| Tutorial | 5 | 1 | 5 |
| Private study hours | 75 | ||
| Total Contact hours | 25 | ||
| Total hours (100hr per 10 credits) | 100 | ||
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.
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.
| Exam type | Exam duration | % of formal assessment |
|---|---|---|
| Standard exam (closed essays, MCQs etc) | 1.0 Hrs 30 Mins | 100 |
| Total percentage (Assessment Exams) | 100 | |
The resit for this module will be 100% by 1.5 hour examination.
The reading list is available from the Library website
Last updated: 12/12/2018
Errors, omissions, failed links etc should be notified to the Catalogue Team