|Year of offer||2019|
|Subject level||Graduate coursework|
|Fees||Subject EFTSL, Level, Discipline & Census Date|
The AMSI Summer School is a four-week program hosted at different Australian universities by the Australian Mathematical Sciences Institute. In 2017 it was held at Sydney University, in 2018 at Monash, and in 2019 at UNSW. 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 2019 (more information is available on the AMSI Summer School website: http://ss.amsi.org.au/courses-lecturers/)
(i) An introduction to non-commutative functional analysis: Quantised Calculus
(ii) Analytic Number Theory
(iii) Dynamical Systems: Models of Chaotic Dynamics
(v) Mathematics of Planet Earth
(vi) Mathematical Methods for Machine Learning
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.
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.