Quantitative Decision Making 3

Subject 316-894 (2009)

Note: This is an archived Handbook entry from 2009. Search for this in the current handbook

Credit Points:	12.50
Level:	9 (Graduate/Postgraduate)
Dates & Locations:	This subject is not offered in 2009.
Time Commitment:	Contact Hours: Two 1-hour lectures and one 1-hour workshop per week. (Not offered in 2009). Total Time Commitment: Not available
Prerequisites:	316-893 Quantitative Methods 2
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

Subject Overview:	This subject examines multiple regression analysis and its use in economics, management, finance, accounting and marketing. Topics will include the properties of estimators, hypothesis testing, specification error, multicollinearity, dummy variables, heteroskedasticity, serial correlation, and an introduction to simultaneous systems.
Objectives:	.
Assessment:	One 2-hour end-of-semester examination (70%), assignments not exceeding 1500 words in the first half of the semester (15%) and assignments not exceeding 1500 words in the second half of the semester (15%).
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: High level of development: problem solving; statistical reasoning; application of theory to practice; interpretation and analysis; evaluation of data and other information; use of computer software; Moderate level of development: written communication; collaborative learning; team work; critical thinking; synthesis of data and other information; Some level of development: accessing data and other information from a range of sources.
Notes:	Not offered in 2009.
Related Course(s):	Master of Management (Economics)