Statistics in Climate Dynamics
Subject ATOC90010 (2016)
Note: This is an archived Handbook entry from 2016.
Credit Points: | 12.5 | ||||||||||||
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Level: | 9 (Graduate/Postgraduate) | ||||||||||||
Dates & Locations: | This subject has the following teaching availabilities in 2016: April, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here. | ||||||||||||
Time Commitment: | Contact Hours: 24 hours of lectures and 18 hours of practicals Total Time Commitment: 170 hours | ||||||||||||
Prerequisites: | None | ||||||||||||
Corequisites: | None | ||||||||||||
Recommended Background Knowledge: | Some knowledge of introductory statistics and climate dynamics. | ||||||||||||
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: |
The subject will outline basic statistical methods for analyzing climate dynamics, with the aim of understanding the physical mechanisms driving the observed structures . The subject will start with the principles of decision making in statistical anlaysis (significance tests), will then dicsuss the basics of probability theory, time series, stochastic models and multi-variate data (pattern) analysis. The focus here will not be on deriving statistical parameters, but will rather be on discussing how these methods could be applied and what the potential pitfalls in interpreting the statistical results could be. |
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Learning Outcomes: |
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Assessment: |
Practical exercises and problem sets due throughout the teaching period (60%) and an oral examination due in the week beginning 7 June 2016 (40%). |
Prescribed Texts: | None |
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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Related Course(s): |
Master of Science (Earth Sciences) |
Related Majors/Minors/Specialisations: |
Earth Sciences Honours Program - Earth Sciences |
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