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Every year, AMSI Member institutions around Australia broadcast mathematical seminars, short courses and Honours and Masters subjects over the Advanced Collaborative Environment (ACE) Network, enabling students and academics to participate remotely by videoconference.

Lecturers

Honours and Masters Subjects

Interested in teaching over the AMSI ACE Network? We’re accepting EOIs for 2022!

We’re seeking proposals for staple and varietal subjects. Staple subjects cover topics identified as priorities, and are intended to run on a yearly recurring basis. There is no requirement that they be offered by the same institution each year. Varietal subjects cover topics of interest to the community, and you’re welcome to nominate your own.

In recognition of the hard work that goes into producing quality honours and masters programs, AMSI will provide lecturer payments of $1500 for selected subjects every year (subject to external students being enrolled post-census date, allocated to the most highly prioritised offerings).

Applications close Wednesday 3 November.

Students

 

Do you want to take honours or masters subjects not available at your university or expand your current knowledge?

You can with AMSI’s ACE Network.

See below for a preview of our 2022 curriculum. More subjects and details to come! Semester One enrolments open February.

Join lecturers and students from around Australia in interactive videoconference classes in the mathematical sciences. ACE subjects are free for students from AMSI Member Universities and $500 for participants from a non-member university. ACE subjects may be taken for credit with the permission of your institution.

Click on the pre-enrolment quizzes below to find out more about the level of foundational knowledge required for each subject.

Convenor

Get your department and students involved in the ACE Network today!

Reach a wide audience by encouraging your lecturers to broadcast seminars, short courses and Honours and Masters subjects over the ACE Network.

Promote the ACE Network to your students, refer a lecturer or hold a one-off seminar/short course.

2022 Subject Timetable

Core subjects are offered on a continuing basis

Semester One

 SUBJECTLECTURERHOST UNIVERSITYTEACHING DATESMORE INFORMATIONPRE-ENROLMENT QUIZ
CORE SUBJECTMathematical EcologyMichael BodeQueensland University of Technology28 February – 30 May Subject guideTake the quiz
CORE SUBJECTMethods and Theory of Modern OptimisationScott Lindstrom & Andrew EberhardCurtin University & RMIT University1 March – 23 May Subject guideTake the quiz
Statistical LearningBrenda VoUniversity of New EnglandTBATBATBA
C*-AlgebrasAidan SimsUniversity of Wollongong28 February – 3 June Subject guideTake the quiz
Random Matrix TheoryMario KieburgThe University of Melbourne1 March – 27 May Subject guideTake the quiz
Arbitrage Pricing in Continuous TimeZhou ZhouThe University of Sydney21 February – 25 May Subject guideTake the quiz
Metric SpacesDaniel DanersThe University of Sydney21 February – 18 JuneTBATBA

Semester Two

 SUBJECTLECTURERHOST UNIVERSITYMORE INFORMATIONPRE-ENROLMENT QUIZ
CORE SUBJECTMathematical EpidemiologyStephen DavisRMIT University Subject guideTake the quiz
CORE SUBJECTComputational Thinking with PythonTianning LiUniversity of Southern Queensland Subject guideTake the quiz
CORE SUBJECTStatistical Consulting Marijka BatterhamUniversity of Wollongong Subject guideTake the quiz
Numerical AnalysisBishnu LamichhaneThe University of Newcastle Subject guideTake the quiz
Langrangian & Hamiltonian DynamicsHolger DullinThe University of Sydney Subject guideTake the quiz
Topological GroupsGeorge WillisThe University of Newcastle Subject guideTake the quiz
Statistical & Time-Series Analysis of Climate VariablesJohn BolandUniversity of South AustraliaTBATBA
Complex AnalysisGregory MarkovskyMonash University Subject guideTake the quiz

Past ACE Network Subjects

2021
SEMESTER ONE
Subject Lecturer Host university
Advanced Data Analysis Thomas Suesse University of Wollongong
Asymptotic and Perturbation Methods for Ordinary and Partial Differential Equations Justin Tzou Macquarie University
Convex Optimisation* Matthew Tam The University of Melbourne
Elliptic PDEs from an Elementary Viewpoint Serena Dipierro & Enrico Valdinoci The University of Western Australia
Functional Analysis Daniel Daners The University of Sydney
Mathematical Modelling in Ecology* Michael Bode Queensland University of Technology
Networks and High-Dimensional Inference Eduardo Altmann & Lamiae Azizi The University of Sydney
Statistical Consulting* David Steel University of Wollongong
SEMESTER TWO
Subject Lecturer Host university
Abstract Algebra Bea Bleile University of New England
Advanced Numerical Analysis Bishnu Lamichhane University of Newcastle
Categorical Data Analysis Eric Beh University of Newcastle
Computational Thinking with Python* Tianning Li University of Southern Queensland
Distribution Theory Robert King University of Newcastle
Nonlinear PDEs Mike Meylan University of Newcastle
Introduction to PDEs Zihua Guo Monash University
Lagrangian and Hamiltonian Dynamics Holger Dullin The University of Sydney
Mathematical Epidemiology Stephen Davis RMIT University
Optimisation for Deep Learning* Nadezda Sukhorukova, Julien Ugon & Vera Roshchina Swinburne University of Technology, Deakin University & UNSW
Topological Groups George Willis University of Newcastle
2020
SEMESTER ONE
Subject Lecturer Host University
Advanced Data Analysis Thomas Suesse University of Wollongong
Advanced Topics in Cryptography Serdar Boztas RMIT University
Applied Mathematical Modelling Peter Kim The University of Sydney
Modern Methods of Theoretical Modelling Snezhana Abarzhi The University of Western Australia
Networks and High-Dimensional Inference Eduardo Altmann The University of Sydney
Nonlocal Diffusion, Theory and Applications Serena Dipierro The University of Western Australia
Real Analysis and Measure Theory Enrico Valdinoci The University of Western Australia
Statistical Consulting David Steel University of Wollongong
Theory of Statistics Paul Kabaila La Trobe University
SEMESTER TWO
Subject Lecturer Host University
Advanced Numerical Analysis Bishnu Lamichhane The University of Newcastle
Algebraic Number Theory Florian Breuer The University of Newcastle
Complex Analysis Greg Markowsky Monash University
Computational Thinking with Python Shelly Grist University of Southern Queensland
Mathematical Biology Stephen Davis RMIT University
Optimisation for Deep Learning Nadezda Sukhorukova Swinburne University
Symmetry of Integrable Equations Yang Shi Flinders University
Vector Calculus and Mathematical Modelling of Fluid Flows Sergey Suslov Swinburne University
2019
SEMESTER ONE
Subject Lecturer Host University
Advanced Data Analysis Pavel Krivitsky University of Wollongong
Advanced Topics in Cryptography Serdar Boztas RMIT University
Algebra: Advanced Group Theory Michael Giudici The University of Western Australia
Asymptotic Methods and Perturbation Theory Sharon Stephen The University of Sydney
C*-Algebras Aidan Sims University of Wollongong
Introduction to Valued Fields Florian Breuer & George Willis The University of Newcastle
Random Graphs vs. Complex Networks Eduardo Altmann The University of Sydney
Statistical Consulting David Steel University of Wollongong
Subject Lecturer Host University
Theory of Statistics Paul Kabaila La Trobe University
SEMESTER TWO
Subject Lecturer Host University
A Gentle Introduction to Partial Differential Equations Enrico Valdinoci The University of Western Australia
Advanced Numerical Analysis Bishnu Lamicchane The University of Newcastle
Computational Thinking with Python Shelly Grist University of Southern Queensland
Geometry and Symmetry of Nonlinear Integrable Equations Yang Shi Flinders University
Measure Theory and Integration (formerly Measure, Integral and Probability) Marianito Rodrigo University of Wollongong
Methods and Theory of Modern Optimisation Andrew Eberhard RMIT University
Nonlinear Control and Estimation Chris Kellett The University of Newcastle
Optimal Transportation and Monge-Ampère Equations Jiakun Liu University of Wollongong