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316-130 Quantitative Methods 1 | |
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Note | Credit cannot be obtained for both this subject and for either 620-131 Scientific Programming and Simulation, or 620-160 Experimental Design and Data Analysis (1998 or earlier handbooks 620-140 Probability and Applications, 316-129 Business Statistics; 1997 or earlier handbooks 617-141, 617-160, 617-170, 619-100, 619-101). Students who complete 620-160 Experimental Design and Data Analysis or 620-131 Scientific Programming and Simulation may apply for an exemption from 316-130 Quantitative Methods 1. |
Credit Points | 12.5 |
HECS Band | 2 |
Coordinator | Associate Professor V Martin |
Prerequisites | VCE Mathematical Methods or equivalent. |
Semester | 1, repeat 2 (view timetable) |
Contact | Two 1-hour lectures and one 1-hour tutorial per week |
Subject Description | 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-distributions; and simple and multiple regression and correlation. The emphasis is on practical applications to accounting, economics, finance, management and marketing. |
Assessment | A 2-hour end-of-semester examination (70%); assignments not exceeding 50 pages in total (10%); and a mark based on tutorial attendance, participation and computer exercises (20%). |
Prescribed Texts | To be advised. |
Status: Official 2002 Last Modified: Tuesday May 07 22:11 SGML to HTML Conversion: Information Technology Services Authorised by: Academic Registrar Email Enquiries: Course_Information@registrar.unimelb.edu.au
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