Analytical Methods
Subject ABPL90135 (2011)
Note: This is an archived Handbook entry from 2011.
Credit Points: | 12.50 | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Level: | 9 (Graduate/Postgraduate) | ||||||||||||
Dates & Locations: | This subject has the following teaching availabilities in 2011: Semester 1, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here. | ||||||||||||
Time Commitment: | Contact Hours: 1x2 hour lecture per week; 1x1 hour tutorial per week Total Time Commitment: 140 hours | ||||||||||||
Prerequisites: | None specified | ||||||||||||
Corequisites: | None specified | ||||||||||||
Recommended Background Knowledge: | None specified | ||||||||||||
Non Allowed Subjects: | None specified | ||||||||||||
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 of 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
Dr Jennifer DayContact
Environments and Design Student Centre
Ground Floor, Baldwin Spencer (building 113)
Enquiries
Phone: 13 MELB (13 6352)
Website: http://www.msd.unimelb.edu.au
Subject Overview: | This subject was formerly called Analytical Methods for Urban Planning. This subject provides an introduction to quantitative data analysis for the social sciences, focusing on the data and techniques commonly used in urban planning analysis. It develops understanding and skill in the use of the collection, analysis and representation of information. The subject is presented in two sections: An introduction to common demographic and economic data available from secondary sources, including Census data. Techniques for analysing and interpreting population data as well as population and economic forecasting techniques. An introduction to basic statistical analysis of small-sample and large-sample data. Topics include descriptive statistics, confidence intervals and power, hypothesis testing, measures of association, and an introduction to regression techniques. MSD students may be directed to focus on particular units within this subject to complement their program's area of study - or - research aspirations. |
---|---|
Objectives: |
|
Assessment: |
Part 1 of Subject
Part 2 of Subject
|
Prescribed Texts: | No required texts. |
Breadth Options: | This subject is not available as a breadth subject. |
Fees Information: | Subject EFTSL, Level, Discipline & Census Date |
Generic Skills: |
|
Related Course(s): |
Master of Construction Management Master of Construction Management Master of Design (Urban Design) Master of Property Master of Property Master of Urban Design Master of Urban Design Master of Urban Planning |
Related Majors/Minors/Specialisations: |
Sustainable Cities, Sustainable Regions |
Download PDF version.