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2008/09 Undergraduate Module Catalogue

LUBS2230 Mathematics for Business and Economics 2

10 creditsClass Size: 161

Module manager: Dr Kausik Chaudhuri
Email: kc@lubs.leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2008/09

Pre-requisites

LUBS1240Mathematics and Statistics for Business and Economics 1

Co-requisites

LUBS2670Statistics for Business and Economics 2

This module is mutually exclusive with

LUBS1195Introductory Modelling for Management (1)
LUBS2195Introductory Modelling for Management (II)
MATH0111Elementary Differential Calculus (Version 1)
MATH0131Elementary Differential Calculus (Version 3)
MATH0212Elementary Integral Calculus (Version 1)
MATH0360Introduction to Applied Mathematics 1
MATH0365Foundation Probability and Statistics
MATH0370Introduction to Applied Mathematics 2
MATH0380Foundation Applied Mathematics for Business
MATH1015Linear Algebra 1
MATH1050Calculus and Mathematical Analysis
MATH1150Mathematics for Geophysical Sciences 2
MATH1331Linear Algebra with Applications
MATH1351Applications of Mathematics
MATH1400Modelling with Differential Equations
MATH1410Modelling Force and Motion
MATH1460Mathematics for Geophysical Sciences 1
MATH1715Introduction to Probability
MATH1725Introduction to Statistics
MATH1815Modelling in Statistics and Probability
MATH1825Statistics Through Application
MATH1840Introduction to Statistical Modelling
MATH1910Modelling and Investigations
MATH1915Basic Use of Computers for Mathematics
MATH1916Basic Use of Computers for Mathematics
MATH1917Basic Use of Computers for Mathematicians
MATH2370Linear Differential Equations and Transforms
MATH2450Mathematics for Geophysical Sciences 3
MATH2490Mathematics for Geophysical Sciences 4
MATH2600Numerical Analysis
MATH2640Introduction to Optimisation
MATH2715Statistical Methods
MATH2730Analysis of Experimental Data
MATH2740Environmental Statistics
MATH2770Medical Statistics
MATH2790Modelling and Simulation
MATH3000Information Skills in Mathematics
MATH3713Regression and Smoothing
MATH3715Linear Models
MATH3723Statistical Theory
MATH3743Design and Analysis of Experiments
MATH3772Multivariate Analysis

This module is not approved as an Elective

Objectives

On completion of this module, students should be able to:

-demonstrate an extended knowledge of techniques in mathematics;
- recognise and use more advanced techniques in mathematics;
- apply more advanced techniques in mathematics;
- analyse issues and solve problems in accounting, economics, econometrics and management and;
- understand the literature in accounting, economics, econometrics and management which uses these techniques.



Syllabus

Multivariate Optimisation; Linear Equations, Matric Algebra, Multivariate Analysis in Economics, Econometrics, Finance and Management.

Teaching methods

Delivery typeNumberLength hoursStudent hours
Example Class101.0010.00
Consultation111.0011.00
Lecture131.0013.00
Private study hours66.00
Total Contact hours34.00
Total hours (100hr per 10 credits)100.00

Private study

1.5 hours reading per lecture: 20 hours;
2 hours reading and preparations of homework per class: 20 hours;
Revision for mid-term test: 7 hours;
Examination revision: 30 hours.

Opportunities for Formative Feedback

There is a compulsory mid-term test. Feedback on this test will be given where the solutions will be provided. The results of this test are not used in the evaluation of your final mark received in this module, but are meant to provide the student with a clear indication of the progress they are making with the material.

Methods of assessment


Exams
Exam typeExam duration% of formal assessment
Standard exam (closed essays, MCQs etc)2 hr 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 website

Last updated: 20/03/2009

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