Environmental Analysis Tools

Subject ENEN90032 (2010)

Note: This is an archived Handbook entry from 2010.

Credit Points: 12.50
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2010:

Semester 2, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable

Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: 2 hours of lectures and 2 hours of PBL per week. Total 48 hours
Total Time Commitment: 120 hours for the semester
Prerequisites: Admission to Master of Engineering OR
Study Period Commencement:
Credit Points:
Summer Term, Semester 1, Semester 2
Corequisites: None
Recommended Background Knowledge: Completion of the following subject will assist your learning. It is expected undergraduate students will take 421-302 as a part of their course.
Study Period Commencement:
Credit Points:
Semester 1
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 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/


Dr Dongryeol Ryu


Melbourne School of Engineering
Building 173, Grattan Street
The University of Melbourne VIC 3010 AUSTRALIA

General telephone enquiries
+ 61 3 8344 6703
+ 61 3 8344 6507

+ 61 3 9349 2182
+ 61 3 8344 7707

Email: eng-info@unimelb.edu.au
Subject Overview:

The aim of this subject is to help students develop capability to effectively summarise environmental variables met in the course of research and design, to select appropriate statistical models describing the data structure, and to conduct statistical inference on underlying processes. Students will apply a variety of models from a conventional or Bayesian approach to solve the problems at hand and derive deterministic or stochastic inferences from them. The subject is composed of four wide-ranging topics from exploratory data analysis to spatial modelling. At the beginning of each topic, students are provided with a set of data from environmental research, and a number of analysis tools are conveyed in the lecture.

Specific Topics are:

Exploratory data analysis
  • Probability models, summary statistics and objective function
  • Analysis of variability and hypothesis test
  • Bayesian inference
Linear models and statistical forecasting
  • Linear regression and validation
  • Stochastic ensemble forecasting
  • Forecast verification
Methods for multivariate data
  • Principle component analysis
  • Cluster analysis
Analysis of spatial data
  • Simple spatial interpolations
  • Analysis of spatial variability
  • Spatial models and Kriging

Objectives: At the end of this subject students should be able to:
  • Effectively summarise their analysis and design outputs
  • Use stochastic approach to make statistical inference about random environmental variables
  • Define and evaluate objective functions for their design target
  • Quantitatively test their hypothesis
  • Select the most appropriate statistical model describing the data at hand
  • Generate both deterministic and stochastic realisations of environmental variables
  • 2-hour end of semester examination (50%)
  • Two 1500 word reports, one due mid-semester the other in week 12 (30%)
  • Four 10 minute quizzes held every three weeks during the semester (20%)
Prescribed Texts: None
Breadth Options:

This subject is not available as a breadth subject.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:
  • Ability to apply knowledge of science and engineering fundamentals
  • Ability to undertake problem identification, formulation, and solution
  • Proficiency in engineering design
  • Ability to conduct an engineering project
Related Course(s): Master of Environment
Master of Environmental Engineering
Master of Environmental Engineering
Master of Water Resource Management
Master of Water Resource Management
Postgraduate Certificate in Environment
Postgraduate Diploma in Environment
Related Majors/Minors/Specialisations: Energy Studies
Waste Management

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