Quantitative Methods for Business
Subject ECOM90009 (2010)
Note: This is an archived Handbook entry from 2010.
Credit Points: | 12.50 | ||||||||||||||||||||||||
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Level: | 9 (Graduate/Postgraduate) | ||||||||||||||||||||||||
Dates & Locations: | This subject has the following teaching availabilities in 2010: Semester 1, Parkville - Taught on campus.
Semester 2, Parkville - 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 Total Time Commitment: Estimated total time commitment of 120 hours per semester | ||||||||||||||||||||||||
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 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 for 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
Mr Mike Pottenger, Prof David DicksonContact
Graduate School of Business and Economics Student CentreLevel 4, 198 Berkeley Street
Telephone: +61 3 8344 1670
Online Enquiries: http://www.gsbe.unimelb.edu.au/future/unity_forms/contact.html
Web: www.melbournegsm.unimelb.edu.au
Subject 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: |
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Prescribed Texts: | You will be advised of prescribed texts by your lecturer. |
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 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 (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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