Overview
Offerings
Rules
Contacts
Chief Examiner(s)
Unit Coordinator(s)
Notes
IMPORTANT NOTICE:
Scheduled teaching activities and/or workload information are subject to change in response to COVID-19, please check your Unit timetable and Unit Moodle site for more details.
This unit is offered in alternate years commencing Semester 1, 2019.
Learning outcomes
Develop specialised mathematical knowledge in nonlinear optimisation algorithms and their efficient computer implementation
Understand the connection between optimisation and the training of data science models.
Determine an appropriate choice of optimisation approach based on problem characteristics.
Apply sophisticated optimisation methods to large problems arising from data analytics
Translate the result of optimisation into the application domain
Apply critical thinking in the field of computational optimisation