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Statistics in Climate Dynamics (ATOC90010)
Graduate courseworkPoints: 12.5On Campus (Parkville)
Please refer to the return to campus page for more information on these delivery modes and students who can enrol in each mode based on their location.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Overview
Availability | Semester 1 |
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Fees | Look up fees |
The subject will discuss some basic statistical methods for analysing climate dynamics with the aim of understanding the physical mechanisms driving the observed structures (statistics). The subject will emphasise how these methods can be applied and will explore the potential pitfalls in interpreting statistical results. The subject will start with a discussion on the basics of probability theory, time series analysis, stochastic models and multivariate data (pattern) analysis. It will then focus on the principles of decision making in statistical analysis (significance tests), which is followed by a discussion of the pitfalls and general strategies in statistical analysis.
Intended learning outcomes
Upon completion of this subject, students should be able to:
- Complete statistical analysis on probability distributions, time series, and multi-variate data;
- Apply standard statistical methods in climate dynamics data analysis;
- Interpret the outcomes of the statistical analysis in the context of climate dynamics; and
- Read, understand and critically analyse the scientific literature on data analysis in climate dynamics.
Generic skills
Upon completion of this subject, students should have gained the following generic skills:
- The ability to exercise critical judgement;
- Rigorous and independent thinking;
- Adopting a problem-solving approach to complex or ambiguous questions; and
- High-level written report presentation skills; oral communication and presentation skills.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
This subject requires basic university level math. This includes basic calculus and linear algebra. Some knowledge of introductory statistics and climate dynamics is recommended.
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Additional details
- Five assignments, weekly, due throughout weeks 2 - 7, 40%
- Examination (closed book; 3hrs): 60% to be held approximately 2 weeks after the end of the course.
Note: The assignments should be solved in teams of two to three students. Most of the assignments involve computations with MATLAB.
Last updated: 3 November 2022
Dates & times
- Semester 1
Principal coordinator Todd Lane Mode of delivery On Campus (Parkville) Contact hours Total of 48 contact hours : Please note that this subject is delivered cross-institutionally and the timetable has yet to be finalised. Students will be required to check the VIEPS website closer to the subjects' start date for specific time-related information. Total time commitment 170 hours Teaching period 1 March 2021 to 30 May 2021 Last self-enrol date 12 March 2021 Census date 31 March 2021 Last date to withdraw without fail 7 May 2021 Assessment period ends 25 June 2021
Additional delivery details
This subject is taught through the Victorian Institute of Earth and Planetary Sciences: https://vieps.earthsci.unimelb.edu.au/.
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NOTE - This intensive subject is hosted by Monash University
While there are no pre-teaching requirements, students are encouraged to make themselves familiar with the basics of MATLAB.
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
Recommended texts and other resources
Lecture notes, available here:
”Statistical Analysis in Climate Research” by Hans von Storch and Francis W. Zwiers.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Science (Earth Sciences) Informal specialisation Earth Sciences - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 3 November 2022