Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
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must apply for entry into the honours year by the end <strong>of</strong><br />
their three-year degree,<br />
Note that entry into the honours year is competitive and the<br />
number <strong>of</strong> places is subject to a quota.<br />
84405 Research Methodology<br />
No, <strong>of</strong> hours per week: three hours<br />
Prerequisites: nil<br />
Instruction: seminar<br />
Assessment: seminar participation<br />
Subject aims and description<br />
The Research Methodology unit aims to equip students with<br />
the necessary research skills to conduct research studies for<br />
higher degrees. It is designed to facilitate the development<br />
<strong>of</strong> independent learning skills. Students will be presented<br />
with research methodologies appropriate to their discipline<br />
as well as those most commonly used in other disciplines.<br />
Throughout this unit students will make extensive use <strong>of</strong><br />
library resources.<br />
Research Methodlogy topics normally covered include:<br />
Posing research questions and the measurement <strong>of</strong> concepts:<br />
theory perspectives and construction;<br />
orienting statements and propositions;<br />
value free research;<br />
nominal and operational definitions;<br />
validity and reliability;<br />
the development <strong>of</strong> indicators;<br />
the development <strong>of</strong> an index.<br />
Library research methods:<br />
accessing databases e.g.: bibliographic, CD-ROM;<br />
parliamentary papers and journals;<br />
ABS data;<br />
video and audio e.g.: AUDIODISC;<br />
Gophes and Internet;<br />
evaluate discipline-specific library research methodology<br />
Qualitative research methods:<br />
participant observation;<br />
interviewing;<br />
group discussions;<br />
s<strong>of</strong>tware for analysing text material e.g.: NUDIST.<br />
Survey research methods:<br />
design options e.g.: personal interview, mail interview,<br />
CATI;<br />
research questions;<br />
sample design;<br />
questionnaire construction;<br />
fieldwork practice;<br />
coding, data entry and data verification;<br />
data analysis.<br />
Experimental research methods:<br />
types <strong>of</strong> experimental and quasi-experimental design;<br />
validity and threats.<br />
Analysis and interpretation <strong>of</strong> results:<br />
preparation for analysis;<br />
statistical analysis;<br />
correlation, regression, t-tests;<br />
Chi-squared and ANOVA;<br />
reporting results.<br />
Presenting a project outline and report writing techniques:<br />
the problem or question and its importance;<br />
account <strong>of</strong> related research;<br />
theoretical perspectives;<br />
sources <strong>of</strong> data;<br />
analysis <strong>of</strong> data;<br />
timetabling;<br />
budgets;<br />
word processing, desktop publishing and graphics;<br />
personal presentations and presenting at a conference.<br />
Textbook<br />
Emory, C.W. and Cooper, D.R. Business Research Methods. 4th ed,<br />
Irwin. 1991<br />
BQ504 Quantitative Methods<br />
No. <strong>of</strong> hours per week: five three-hour seminars<br />
per semester over two semesters<br />
Prerequisites: nil<br />
Instruction: seminars and workshops<br />
Assessment: three syndicate assignments and two<br />
final exams<br />
Subject aims and description<br />
This unit is designed to give students an understanding <strong>of</strong><br />
the role <strong>of</strong> quantitative analysis in the decision-making<br />
process. The skills acquired are used in other units <strong>of</strong> the<br />
course as well as giving an appreciation <strong>of</strong> quantitative<br />
techniques via practical applications. User-friendly computer<br />
packages are employed throughout the course wherever<br />
possible, reflecting their importance and usefulness.<br />
The topics included are: linear programming, forecasting,<br />
inventory management, basic statistics, decision theory.<br />
Textbook<br />
Render, 0. and Stair, R.M. Quantitatiw Analysis for Management. 4th<br />
ed, Boston: Allyn & Bacon, 1991<br />
Reference<br />
Anderson, M.Q. and Lievano, K.J. Quantatiw Management - An<br />
Introduction. 2nd ed, Baton: Kent, 1986<br />
84507 Market Modelling 1<br />
No. <strong>of</strong> hours per week: two hours<br />
Prerequisites: nil<br />
Instruction: lecturekutorial<br />
Assessment: individual and syndicate assignments<br />
Subject aims<br />
This unit aims to introduce students to the concept <strong>of</strong><br />
developing models for product demand. Students will be<br />
introduced to a range <strong>of</strong> predictive techniques that may be<br />
incorporated into demand models. Evaluation <strong>of</strong> model<br />
outputs will be an important aspect <strong>of</strong> this unit.<br />
Note that throughout this course, extensive use will be made<br />
<strong>of</strong> computer s<strong>of</strong>tware packages.<br />
In this unit, a number <strong>of</strong> case studies based on a variety <strong>of</strong><br />
produd markets will be analysed.<br />
Subject description<br />
Approaches to modelling and forecasting demand.<br />
Forecasting model for stationary and non-stationary data.<br />
Forecast monitoring and aggregation methods.<br />
Autoregressive and moving average processes.<br />
Model identification and evaluation.<br />
Textbooks<br />
Makridakis, S., Wheelwright, S.C. and McCee. V.E. %recasting<br />
Methods and Applications. 2nd ed, N.Y.: John Wiley, 1983<br />
Handout material<br />
8451 1 Research Methodology<br />
No. <strong>of</strong> hours per week: two hours<br />
Prerequisites: nil<br />
Instruction: lecture/laboratory<br />
Assessment: individual and syndicate assignments<br />
Subject aims and description<br />
This introductory research methodology unit aims to provide<br />
participants with a basic knowledge <strong>of</strong> the research methods<br />
that are necessary for successful market modelling in today's<br />
business world. As part <strong>of</strong> this unit, participants are