1996 Swinburne Higher Education Handbook

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applied in subsequent areas of their course.
Provide students with a knowledge of particular
mathematical and statistical techniques that will foster a
greater understanding of the quantitative procedures
required in various disciplines within the Division.
Content
The subject has distinct business modelling emphasis and is
applied in nature with interpretation and presentation
forming an integral part of the subject.
Topics covered will normally include the following:
presentation of statistical data;
measures of central tendency and dispersion;
introduction to probability and probability
distributions;
sampling and sampling distributions;
estimation and confidence intervals;
hypothesis testing;
index numbers;
correlation and linear regression
time series analysis including introduction to the
mathematics of finance.
Recommended reading
Anderson,D. R. Statistics for Business and Economics. Aust. edn,
Harper &Row, 1989.
?: Comprehensive student notes and references will be made
available.
84220 Business Forecasting
3 hours per week Hawthorn Prerequisite: BQl l l
Quantitative Analysis B or (BQI IOE + BQIIO) Quant?tative
Analysis A Assessment: individual assignments
A subject in the Bachelor of Business
Objectives
Give a practical introduction to current business
forecasting techniques;
introduce students to the statistical tools available on
integrated packages such as MS Excel;
uses case studies to demonstrate the use of forecasting in
a business environment.
Content
Techniques covered will include time series analysis, moving
averages, exponential smoothing, regression and
autocorrelation analysis.
Recommended reading
Hanke, John E. and Reitsch, Arthur G. Business Forecasting. 5th edn,
Englewood Cliffs, N.J., Prentice Hd, 1995
Makridakis, S., Wheelwright, S.C. and McGee, V.E. Forecasting
Methods for Management. 5th edn, New York, Wiley, 1989
Gaynor, Patricia E. and Kirkpatrick Rickey C. Introduction to
Time Series Modeling and Forecasting in Business and Economics.
New York, McGraw-Hill, 1994
BQ221 Marketing Data Management
3 hours per week Hawthorn Prerequisite: BQlll
Quantitative Analysis B or (BQ11 OE + BQ110) Quantitative
Analysis A Assessment: syndicate assignment, examination
A subject in the Bachelor of Business
Objectives and Content
This subject forms an important part of the market analyst's
tool kit. The subject has been designed to equip students
with the techniques and skills required to access and analyse
information relevant to the market research activities of
both private and public companies. The approach taken in
this subject is a practical one and therefore considerable use
will be made of PC-based business modelling software
packages.
This subject will:
introduce students to a number of data archives, public
access databases and videotext-type information sources;
develop the necessary skills to access information
sources using data management and statistical software
on microcomputer and in a
mainframe computer environment;
extend students' knowledge of the statistical methods
that are necessary for the analysis of primary and
secondary data.
Recommended reading
SPSS for Windows Release 6.1 Student Version, SPSS Inc., Prentice
Hall 1993.
Norusis, M.J. SPSS/PC+ Studentware Plus for Business. Chicago,
SPSS Inc., 1991
Australian Bureau of Statistics, Census 91 Dictionary. Canberra
A.G.P.S., 1991
SSDA Catalogue, Social Science Data Archives, Canberra,
Australian National University, 1991
B4222 Quantitative Management
Techniques
3 hours per week Hawthorn Prerequisite: BQlll
Quantitative Analysis B or (BQllOE+ BQIIO) Quantitative
Analysis A Assessment: examination/ assignment
A subject in the Bachelor of Business
Students intending to complete a major or minor in
accounting are strongly recommended to include this subject
as part of their studies
Objectives
Provide students with an awareness of a range of
business modelling techniques and their application to a
variety of accounting and general business problems;
give students an understanding of the inter-relationships
between business modelling techniques and the
traditional accounting function in an organisation;
form the basis for a more extensive study of the
application of these techniques in subsequent subjects.
Content
The emphasis of this subject is on the practical solution of
specific business problems and, in particular, on the
recognition, formulation and interpretation stages of a