Please note - Swinburne University of Technology

Subject aims and description
The content of BQ111 is the same as the combined content
of BQ11OE + BQ110, but the time allocation differs. The
prlmary purpose of this subject is to ensure that all students
attain a higher level of numeracy and are able to develop a
method of approach which can be applied in subsequent
areas of the~r course.
The subject will provide students with a knowledge of
articular techniques in mathematics and statistics so that
they may achieve'a greater understanding of the quantitative
procedures required in various disciplines within the Division.
The subject has distinct business modelling emphasis and b
applied in nature with interpretation and presentation
forming an integral part of the subject.
Topics covered will normally include the following:
language and notation;
linear functions and regression;
presentation of statistical data;
measures of central tendency and dispersion;
probability theory and probability distributions;
sampling theory and design;
hypothosis testing;
statistical inference including estimation and confidence
intervals;
index numbers;
time series analysis including correlation and regression;
introduction to the mathematics of finance.
Textbook
Comprehensive student notes and references will be made available.
~ ~ 2 2 0 Business Forecasting
No. of hours per week: three hours
Prerequisites: BQ11 OE, BQ110 or BQI 11-
Quantitative Analysis
Instruction: lectureltutorial
Assessment: individual and syndicate
assignments
Subject aims and description
This subject will provide students with an exposure to the first
of many vital business modelling tools. The subject
commences by providing students with an overview of
forecasting techniques and approaches. Following on from
this, the criteria for selection of an appropriate forecasting
technique are examined and detailed consideration is given
to the first of the three main forecasting categories -
predictive forecasting from a time series. These techniques
are introduced via case studies based on a variety of product
markets.
The techniques considered range from the simple nonadaptive
averaging methods through to an examination of
the need to use more complex approaches. After successfully
completing this subject, students will be competent users of
the main forecasting techniques. The approach taken in this
subject is a practical one and therefore considerable use will
be made of PC-based business modelling software packages.
Textbooks
Makridakis, S., Wheelwright, S.C. and McGee, V.E. Forecasting
Methods for Management. 4th edn, New York, Wiley, 1985
References
Bowers, D.A. An Introduction to Business Cycles and Forecasting.
Reading, Mass., Addison Wesley, 1985
Cryer, J.D. Time Series Analysis. Boston, PWS Publishing Co., 1986
Newbold, P. and Boss, T. Introductory Business Forecasting. South-
Western Publishing Co., 1990
~ ~ 2 2 1 Marketing Data Management
No. of hours per week: three hours
Prerequisites: BQ1 11 Quantitative Analysis B or
(BQ111 E + BQ110) Quantitative Analysis A
Instruction: lecturellaboratory
Assessment: maintenance of laboratory logbook,
syndicate assignment, examination
Subject aims and description
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 unit 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 micro-computer and in a mainframe computer
environment;
extend students' knowledge of the statistical methods
that are necessary for the analysis of primary and
secondary data.
Textbook
Norusis, M.J. SPSS/PC+ Studentware Plus for Business. Chicago,
SPSS Inc., 1991
References
Australian Bureau of Statistics, Census 91: Dictionary Canberra:
A.G.P.S., 1991
SSDA Catalogue, Social Science Data Archives, Australian National
University, 1991
~Q222 Quantitative Management
Techniques
Students intending to complete a major or minor
in accounting are strongly recommended to
include this subject as part of their studies
No. of hours per week: three hours
Prerequisites: BQ1 1 1 Quantitative Analysis B or
(BQI 11 E + BQ1 10) Quantitative Analysis A
Instruction: lectureltutorial
Assessment: examinationlsyndicate assignment
Subject aims and description
This subject will provide students with an awareness of a
range of business modelling techniques and their application
to a variety of accounting and general business problems. As
a result of this subject, students will gain an understanding of
the inter-relationships between business modellinq
techniques and the traditional accounting function in an
orqanisation. In addition, this subiect will form the basis for a
more extensive study of the application of these techniques
in subsequent subjects.