Associate Professor Ralph Snyder
6 points · Two 1-hour lectures and one 2-hour tutorial per week · First semester · Clayton · Prerequisite: At least one of ETC2400, ETC2410, ETC2420, ETC2450, ETC2480 · Prohibition: BUS2020
Objectives On successful completion of this subject students should understand the quantitative way of thinking about planning and controlling business operations; have acquired computing skills for quantitative business modelling; possess a knowledge of quantitative methods suitable to support decision making under risk and uncertainty.
Synopsis Principles of decision making under risk, decision trees, common probability distributions in business applications, discrete time Monte Carlo simulation, inventory and production control, integer programming, heuristic methods of optimisation; a training in more advanced features of Microsoft Excel, an introduction to Visual Basic for Applications (VBA).
Assessment Written (1 assignment [computing and report]): 20% · Tests: 10% · Examination (2 hours): 70%
Recommended texts
Winston W L and Albright S C Practical management science: Spreadsheet modeling and applications Duxbury, 1997
Back to the 1999 Business and Economics Handbook