Principles of quantitative analysis
Mr Ken Richardson
6 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 Ten quantitative assignments of 1-2 questions each: 40%
*
Examination (2.5 hours): 60%
Prescribed texts
Shelly G B and Cashman T J Learning to use Windows applications: Microsoft Excel 5 Boyd and Fraser, 1994
Published by Monash University, Clayton, Victoria
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