|Year of offer||2019|
|Subject level||Graduate coursework|
March - Off Campus
|Fees||Subject EFTSL, Level, Discipline & Census Date|
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
- 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.
- Read, understand and critically analyse the scientific literature on data analysis in climate dynamics.
- Developing the ability to exercise critical judgement
- Rigorous and independent thinking
- Adopting a problem-solving approach to complex or ambiguous questions
- High-level written report presentation skills; oral communication and presentation skills
Eligibility and requirements
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.
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
- 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.
Dates & times
- March - Off Campus
Coordinator Ralf Haese Mode of delivery Off Campus Contact hours Total 36 hours - 24 hours of lectures and 12 hours of practicals Total time commitment 170 hours Pre teaching requirements While there are no pre-teaching requirements, students are encouraged to make themselves familiar with the basics of MATLAB. Teaching period 4 March 2019 to 19 April 2019 Last self-enrol date 13 March 2019 Census date 22 March 2019 Last date to withdraw without fail 12 April 2019 Assessment period ends 10 May 2019
March contact information
Time commitment details
Additional delivery details
This subject is taught through the Victorian Institute of Earth and Planetary Sciences: https://vieps.earthsci.unimelb.edu.au/.
NOTE - This intensive subject is hosted by Monash University
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
- 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 Exchange students
This subject is available to students studying at the University from overseas institutions on exchange and study abroad.