Quantitative Methods for Business
Subject 316-661 (2009)
Note: This is an archived Handbook entry from 2009. Search for this in the current handbook
Credit Points: | 12.50 | ||||||||||||
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Level: | 9 (Graduate/Postgraduate) | ||||||||||||
Dates & Locations: | This subject has the following teaching availabilities in 2009: Semester 2, - Taught on campus.
Timetable can be viewed here. For information about these dates, click here. | ||||||||||||
Time Commitment: | Contact Hours: A 2-hour lecture and a 1-hour tutorial per week (Semester 1, Semester 2). Total Time Commitment: Not available | ||||||||||||
Prerequisites: | Entry into the Master of Management suite of programs or the Master of Applied Commerce. | ||||||||||||
Corequisites: | None | ||||||||||||
Recommended Background Knowledge: | None | ||||||||||||
Non Allowed Subjects: | None | ||||||||||||
Core Participation Requirements: |
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry. It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability |
Coordinator
Mr Mike PottengerSubject Overview: | The subject introduces students without a strong mathematical background to some of the methods used to collect, present and analyse data and to provide illustrative applications to decision problems faced by business managers. Topics will be chosen from: sources of data; sampling and collection of primary data; presentation and summary measures of data; random variation of data and some implications for hypothesis testing and forecasting; an introduction to decision models with uncertainty; the use and interpretation of estimated regression equations; some forecasting methods used by business. |
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Objectives: |
On successful completion of this subject students should be able to:
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Assessment: | A 2-hour end-of-semester examination (70%) and a one 1-hour mid-semester test (30%). |
Prescribed Texts: | None |
Breadth Options: | This subject is not available as a breadth subject. |
Fees Information: | Subject EFTSL, Level, Discipline & Census Date |
Generic Skills: |
On successful completion of this subject, students should have improved the following generic skills:
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Related Course(s): |
Master Of Applied Commerce (Management) Master Of Applied Commerce (Management) Master of Applied Commerce Master of Applied Commerce Master of Applied Commerce (Accounting) Master of Applied Commerce (Accounting) Master of Applied Commerce (Business Analysis and Systems) Master of Applied Commerce (Business Analysis and Systems) Master of Applied Commerce (Human Resource Management) Master of Applied Commerce (Human Resource Management) Master of Applied Commerce (Marketing) Master of Applied Commerce (Marketing) Master of Applied Commerce (Organisational Change) Master of Applied Commerce (Organisational Change) Master of International Business Master of International Business Master of Management Master of Management (Accounting) Master of Management (Business Analysis and Systems) Master of Management (Economics) Master of Management (Finance) Master of Management (Marketing) Master of Professional Accounting |
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