Quant Analysis for Managerial Decisions

Subject MGMT90048 (2012)

Note: This is an archived Handbook entry from 2012.

Credit Points: 12.50
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2012:

May, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable

Intensive Mode



Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: 24 hours of lectures/seminars/workshops/individual supervision
Total Time Commitment:

Estimated total time commitment of 120 hours.
Prerequisites:

nil
Corequisites:

nil
Recommended Background Knowledge:

nil
Non Allowed Subjects:

nil
Core Participation Requirements:

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/

Coordinator

Prof Daniel Samson

Contact


School of Melbourne Custom Programs
Level 3, 442 Auburn Rd
Hawthorn VIC 3122

Phone: 9810 3245
Email: moe@commercial.unimelb.edu.au

Subject Overview:

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.
Objectives:

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
Assessment:

One-hour test (20%)

Assignments of not more than 1500 words (30%)

Field project investigation report of 3000 words (50%)
Prescribed Texts:

Nil
Recommended Texts:

Course materials are provided to all participants
Breadth Options:

This subject is not available as a breadth subject.
Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:

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
Links to further information: http://www.mccp.unimelb.edu.au/subjects/quantitative-analysis-for-managerial-decisions
Related Course(s): Master of Enterprise (Executive)

Download PDF version.