Environmental Analysis Tools
Subject ENEN90032 (2014)
Note: This is an archived Handbook entry from 2014.
Credit Points: | 12.50 |
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Level: | 9 (Graduate/Postgraduate) |
Dates & Locations: | This subject is not offered in 2014. |
Time Commitment: | Contact Hours: 48 hours, comprising of two hours of lectures and two hours of tutorials per week. Total Time Commitment: 200 hours
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Prerequisites: |
Admission to MC-ENG Master of Engineering OR Subject Study Period Commencement: Credit Points: |
Corequisites: | None |
Recommended Background Knowledge: | Completion of the following subjects will assist in learning: Subject Study Period Commencement: Credit Points: |
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: |
AIMS INDICATIVE CONTENT 1. Exploratory Data Analysis
2. Time Series Analysis
3. Methods for Multivariate Data
4. Analysis of Spatial Data
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Learning Outcomes: |
INTENDED LEARNING OUTCOMES (ILO)
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Assessment: |
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Prescribed Texts: | None |
Recommended Texts: |
Chris Chatfield (2004) The Analysis of Time Series: An Introduction. Chapman & Hall. Boca Raton, FL |
Breadth Options: | This subject is not available as a breadth subject. |
Fees Information: | Subject EFTSL, Level, Discipline & Census Date |
Generic Skills: |
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Notes: |
LEARNING AND TEACHING METHODS |
Related Course(s): |
Master of Environmental Engineering Master of Environmental Engineering Master of Information Technology Master of Philosophy - Engineering Ph.D.- Engineering |
Related Majors/Minors/Specialisations: |
Energy Efficiency Modelling and Implementation Energy Efficiency Modelling and Implementation Energy Studies Energy Studies Integrated Water Catchment Management Integrated Water Catchment Management Master of Engineering (Environmental) Tailored Specialisation Tailored Specialisation Waste Management Waste Management |
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