Please note - Swinburne University of Technology

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 mathematio of finance.
Textbook
Comprehensive student notes and references will be made available.
BQ22O Business Forecasting
No. of hours per week: three hours
Prerequisites: BQ11 OE, BQ110, BQI 11,
Quantitative Analysis
Instruction: lecturehutorial
Assessment: individual and syndicate assignments
Subject aims and description
This unit will provide students with an exposure to the first
of many vital business modelling tools. The unit 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 giwn to the first
of the three main forecasting categories - predictiw 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
awraging methods through to an examination of
the need to use more complex approaches. After
successfully completing this unit, students will be competent
users of the main forecasting techniques. The approach
taken in this unit is a practical one and therefore
considerable use will be made of PC-based business
modelling software packages.
Textbooks
Makridakis, 5. Wheelwright, ST. and McGee, V.E. Forecasting
Methods for Management. 4th ed, New York: Wiley, 1985
ReSemnces
Bowers, D.A. An Introduction to Business Cydes and Forecasting.
Reading. Mass.: Addison Wesley, 1985
Cryer, J.D. Time Series Analysis. Boston: PWS Publishing Co.. 1986
Newbold. I? and Boss, T. htroductory Business Forecasting. South-
Western Publishing Co., 1990
BQ22l Marketing Data Management
No. of hours per week: three hours
Prerequisites: BQ111 Quantitative Analysis B
(BQI 11 E + BQI 10) Quantitatiw Analysis A
Instruction: lecturellaboratory
Assessment: maintenance of laboratory logbook,
syndicate assignment, examination
Subject aims and description
This unit forms an important part of the market analyst's
tool kit. The unit 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
unit 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 archiws, public
access databases and videotext-type information sources;
develop the necessary skills to access information sources
using data management and statistical sohare 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, N.M. SPSS/PC+ Studentware Plus for Business. SPSS Inc.,
1991
References
Australian Bureau of Statistics, The 1991 Census Dictionary. Canberra:
A.G.P.S., 1991
SSDA Catalogue, Social Science Data Archie Australian National
Univenity, 1991
Supermap User Guide and Reference. SpacerTime Research,
Melbourne, 1988
BQ222 Quantitative Management Techniques
Students intending to complete a major or minor
in accounting are strongly recommended to
include this unit as part of their studies
No. of houn per week: three hours
Prerequisites: BQ111 Quantitative Analysis B
(BQ111 E -+ BQ110) Quantitative Analysis A
Instruction: lectureltutorial
Assessment: examinationlsyndicate assignment
Subject aims and description
This unit 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 unit, students will gain an understanding of
the inter-relationships between business modelling
techniques and the traditional accounting function in an
organisation. In addition, this unit will form the basis for a
more extensive study of the application of these techniques
in subsequent units.
The emphasis of this unit is on the practical solution of
specific business problems and, in particular, on the
recognition, formulation and interpretation stages of a
business modelling solution. In this unit considerable use will
be made of PC-based business modelling software packages.
Areas of study will normally include:
the general problem of resource allocation with an
emphasis on linear programming, including an
introduction to post-optimality analysis and the
determination of transfer prices in a decentralised
organisation;
an introduction to qualitative and predictive business
forecasting with particular emphasis on short-term
product demand;
the use of business modelling techniques to manage
inventory;
an introduction to general approaches to planning and
decision-making;
an introdudion to quality and control techniques using
control charts and acceptance sampling, with applications
in auditing.
Textbook
Render, B. and Stair, R.M. Quantitative Analysis for Management. 4th
ed. Boston: London: Allyn and Bacon. 1991
References
Anderson, M.O. and Liwano, R.J. Quantitative Management - An
Introduction. 2nd ed, Boston, Mass.: Kent, 1986
Groebner, D.F. and Shannon, W. Introduction to Management
Science. 1st ed, MacMillan, 1982