Principles of quantitative analysis
Associate Professor Ralph Snyder
7 points
* One 3-hour session per week
* First, second, summer
semester
* Clayton
Objectives On completion of this subject students should have enhanced their comprehension of planning and control problems by their appreciation of the quantitative dimension of such problems; recognised the potential of quantitative methods to support decision making in organisations; be able to employ computing and analytical skills towards the pursuit of better management; have insights into the rationale of commonly used quantitative techniques; be able to apply quantitative techniques in other disciplines.
Synopsis This subject applies quantitative and computer-based methods to managerial decision processes. Topics covered include introduction to computing; the consumer price index; marginal analysis; optimal operation of an organisation within its constraints; probability; statistical measures summarising the properties of data sets; decision making under uncertainty; establishment of relationships between important features (such as sales) and possible explanatory factors (which may be lagged); forecasting; project management.
Assessment Written (weekly assignment): 40%
* Examination (2.5
hours): 60%
Prescribed texts
Bierman H and others Quantitative analysis for business decisions 8th edn, Irwin, 1991
Gerloff F Introducing Excel 5 Wiley, 1995
Mendenhall W and others Statistics for management and economics 7th edn, PWS-Kent, 1993
Published by Monash University, Clayton, Victoria
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