Note: This is an archived Handbook entry from 2010.
|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: Two 1-hour lectures and a 1-hour tutorial per week |
Total Time Commitment: Not available
A study score of at least 25 in English (any) or equivalent and Mathematical Methods in VCE Units 3 & 4 or equivalent.
|Recommended Background Knowledge:||Please refer to Prerequisites and Corequisites.|
|Non Allowed Subjects:||Students completing 316-130 Quantitative Methods 1 may not gain credit for 620-159 Data Analysis 1 or 620-168 Experimental Design and Data Analysis.|
|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/
CoordinatorProf Robert Dixon, Prof William Griffiths
This subject covers the core concepts which underpin quantitative decision analysis in the various specialisations within the faculty. It provides a foundation for all second-year quantitative subjects in the commerce degree. The topics covered are financial mathematics; measures of location and dispersion; probability, random variables and expected values; sampling design; estimation and testing using the normal and t-distribution; and simple regression and correlation. Excel is used to illustrate applications in accounting, economics, finance, management and marketing.
Semester 1 Assessment:
Semester 2 Assessment:
|Prescribed Texts:||You will be advised of prescribed texts by your lecturer.|
|Breadth Options:|| |
This subject potentially can be taken as a breadth subject component for the following courses:
You should visit learn more about breadth subjects and read the breadth requirements for your degree, and should discuss your choice with your student adviser, before deciding on your subjects.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
|Notes:||Students completing 316-130 Quantitative Methods 1 may not gain credit for 620-159 Data Analysis 1 or 620-168 Experimental Design and Data Analysis.|
Bachelor of Information Systems |
Bachelor of Music and Bachelor of Commerce
Bachelor of Science and Bachelor of Information Systems
Graduate Diploma in Economics
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