Registry

Module Specifications

Current Academic Year 2012 - 2013
Please note that this information is subject to change.

Module Title	Quantitative Methods II
Module Code	CA235
School	School of Computing
Online Module Resources
Module Co-ordinator	Semester 1: Liam Tuohey Semester 2: Liam Tuohey Autumn: Liam Tuohey
NFQ level	8	Credit Rating	5
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

Description

To familiarise students with statistical inference and some widely used management science models.

Learning Outcomes

1. Apply statistical hypothesis tests in business a financial applications
2. Test statistical hypotheses concerning means and proportions for one or multiple samples, and concering variances for one or two samples
3. Apply correlation and regression analysis techniques to two variables
4. Use statistical software to analyse survey data
5. Identify and formulate linear programming applications
6. Calculate solutions to linear programming problems, and carry out simple sensitivity analyses
7. Analyse simple queuing systems
8. Analyse decision making applications under risk and uncertainty
9. Draw network representations of projects and apply the Critical Path Method

Workload	Full-time hours per semester
*Type*	*Hours*	*Description*
Lecture	24	No Description
Lab	4	SW lab for SPSS
Tutorial	8	No Description
Independent learning	89	No Description
Total Workload: 125

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

None

Assessment Breakdown
Continuous Assessment	10%	Examination Weight	90%

Course Work Breakdown
Type	Description	% of total	Assessment Date
Assignment	Survey Analsysis using Statistical Software	10%	Week 30

Reassessment Requirement
Resit arrangements are explained by the following categories; 1 = A resit is available for all components of the module 2 = No resit is available for 100% continuous assessment module 3 = No resit is available for the continuous assessment component
This module is category 1

Indicative Reading List

M.L Berenson and D.M. Levine: 0, Basic Business Statistics, Prentice Hall,
S.M. Lee, L.J. Moore and B.W.Taylor: 1995, Management Science, Allyn and Bacon,
Terry Lucey: 2002, Quantitative techniques, Continuum, London, 0826458548

Other Resources

None

Array

Programme or List of Programmes

BSSA

Study Abroad (DCU Business School)

SHSA

Study Abroad (Science & Health)

Timetable this semester: Timetable for CA235

Date of Last Revision

02-FEB-11

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