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AMSI Summer School (MAST90079)
Graduate courseworkPoints: 12.5Online
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
Summer Term
Overview
Availability | Summer Term - Online |
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Fees | Look up fees |
The AMSI Summer School is a four-week program hosted at different Australian universities by the Australian Mathematical Sciences Institute. In 2018 it was held at Monash University, in 2019 at UNSW, and in 2020 at La Trobe University. This subject will give students the opportunity to attend subjects taught by eminent lecturers from around Australia, creating an opportunity to study areas of mathematical sciences and cognate disciplines that may not be otherwise available at the University of Melbourne. AMSI Summer School is an exciting opportunity for mathematical sciences students from around Australia to come together over the summer break to develop their skills and networks.
Students can choose from a selection of available modules. No course within the AMSI Summer School program that substantially covers material available in existing University of Melbourne postgraduate Mathematics and Statistics subjects will be available. The School of Mathematics and Statistics determines the subset of allowed modules that University of Melbourne students can choose from.
This subject is only available to students enrolled in the Master of Science (Mathematics and Statistics) or the Graduate Diploma in Science (Advanced) in the Mathematics and Statistics stream.
Available Modules in 2020 (more information is available on the AMSI Summer School website: https://ss.amsi.org.au/courses-and-lecturers/
- Differential Geometry and Symmetry
- Geometric Group Theory
- Applied Nonlinear Partial Differential Equations
- Dynamic Processes spreading on Networks
- The Finite Element Method
- Random Fields: Mathematical Theory and Spatial Statistics Applications
- Markov Chains with Applications
Intended learning outcomes
After completing this subject students should:
- have gained an understanding at postgraduate level of the mathematics and statistics of the selected topic;
- be familiar with the basic mathematical techniques used in the area of the selected topic;
- appreciate the role of the newly learned mathematical results in the broader context of mathematical sciences and their potential applications to solving real world problems;
- have the ability to pursue further studies in the area of the selected topic and related areas.
Generic skills
In addition to learning specific skills that will assist students in their future careers in science, they will have the opportunity to develop generic skills that will assist them in any future career path. These include:
- problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies;
- analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis;
- collaborative skills: the ability to work in a team;
- time-management skills: the ability to meet regular deadlines while balancing competing commitments.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Subject coordinator approval, upon endorsement by your current supervisor and course coordinator, is required upon application.
Corequisites
None
Non-allowed subjects
None
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
Description | Timing | Percentage |
---|---|---|
Two written assignments of up to 12 pages each due during and at the end of the teaching period (20% each)
| Throughout the teaching period | 40% |
Examination
| After the teaching period at the School of Mathematics and Statistics | 60% |
Last updated: 3 November 2022
Dates & times
- Summer Term - Online
Principal coordinator Diarmuid Crowley Mode of delivery Online Contact hours 28 hours over 4 weeks Total time commitment 170 hours Teaching period 5 January 2021 to 19 February 2021 Last self-enrol date 14 January 2021 Census date 22 January 2021 Last date to withdraw without fail 12 February 2021 Assessment period ends 27 February 2021 Summer Term contact information
Time commitment details
170 hours
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
Details of prescibed text will be provided after enrolment.
- 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.
Last updated: 3 November 2022