2008/09 Undergraduate Module Catalogue
LUBS1240 Mathematics and Statistics for Business and Economics 1
20 creditsClass Size: 313
Module manager: Dr Andrew Brown
Email: andrew@lubs.leeds.ac.uk
Taught: Semesters 1 & 2 (Sep to Jun) View Timetable
Year running 2008/09
Pre-requisite qualifications
Mathematics at least GCSE grade A standardThis module is mutually exclusive with
LUBS1195 | Introductory Modelling for Management (1) |
LUBS1675 | Introductory Statistics for Management (I) |
LUBS2195 | Introductory Modelling for Management (II) |
MATH0111 | Elementary Differential Calculus (Version 1) |
MATH0131 | Elementary Differential Calculus (Version 3) |
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 |
MATH1150 | Mathematics for Geophysical Sciences 2 |
MATH1351 | Applications of Mathematics |
MATH1400 | Modelling with Differential Equations |
MATH1410 | Modelling Force and Motion |
MATH1460 | Mathematics for Geophysical Sciences 1 |
MATH1715 | Introduction to Probability |
MATH1725 | Introduction to Statistics |
MATH1815 | Modelling in Statistics and Probability |
MATH1825 | Statistics Through Application |
MATH1840 | Introduction to Statistical Modelling |
MATH1910 | Modelling and Investigations |
MATH1915 | Basic Use of Computers for Mathematics |
MATH1916 | Basic Use of Computers for Mathematics |
MATH1917 | Basic Use of Computers for Mathematicians |
MATH1960 | Calculus |
This module is approved as an Elective
Module summary
This module introduces the basic mathematical and statistical tools that are pre-requisites for understanding economics and business.PLEASE NOTE:- This module is available as an elective ONLY if taken with LUBS1950 and IS NOT available to any students on single or joint honours programmes in Mathematics.Objectives
On completion of this module, students will be able to: recognise and apply the main elementary techniques in algebra, calculus and statistics to general quantitative problems; use applications of algebra, calculus and statistics to solve basic problems in accounting, economics, and finance; understand the applied literature in economics, accounting and industrial studies which utilise the basic techniques in algebra, calculus and statistics; and undertake study at higher levels in quantitative modules in accounting and economics.Syllabus
Mathematical models of break-even and demand and supply analysis; linear programming, non-linear functions; differentiation, and integration applied to marginal analysis; profit maximisation, and dynamics, with partial differentiation and constrained optimisation; descriptive statistics; data analysis; index numbers; probability theory; probability distributions; sampling; hypothesis testing; time series analysis; and simple regression.
Teaching methods
Delivery type | Number | Length hours | Student hours |
Lecture | 44 | 1.00 | 44.00 |
Seminar | 20 | 1.00 | 20.00 |
Private study hours | 136.00 | ||
Total Contact hours | 64.00 | ||
Total hours (100hr per 10 credits) | 200.00 |
Private study
For each 20 credits of study taken, the expectation is that the normal study time (including attendance at lectures and tutorials, self-study and revision) is 200 hours.Opportunities for Formative Feedback
Students will complete weekly workshop exercises, periodic tests and will also be given the opportunity to attempt mock examinations for each of the maths and statistical sections of the module. 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) | 3 hr 00 mins | 100.00 |
Total percentage (Assessment Exams) | 100.00 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading list
The reading list is available from the Library websiteLast updated: 27/03/2009
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
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