Quant Analysis for Managerial Decisions

This subject is not offered in 2013.

Estimated total time commitment of 120 hours.

For the purposes of considering requests for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry.
The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/

This subject involves skill building in statistical and decision analysis methods for managers, including probability, decision trees and linear programming, and correlation and regression techniques.

Students who successfully complete this subject should:
• Understand the role of statistical analysis in managerial decision making
• Appreciate decision modeling as a way of learning about commercial decisions
• Understand utility and other models for understanding complex decisions
• Be able to formulate linear programs to model business decisions
• Appreciate a range of management science models

• One-hour test (20%)
• Assignments of not more than 1500 words (30%)
• Field project investigation report of 3000 words (50%)

Course materials are provided to all participants

This subject is not available as a breadth subject.

Students who successfully complete this subject should:

• Understand the role of statistical analysis in managerial decision making
• Appreciate decision modeling as a way of learning about commercial decisions
• Understand utility and other models for understanding complex decisions
• Be able to formulate linear programs to model business decisions
• Appreciate a range of management science models