Overview
Offerings
Rules
Contacts
Chief Examiner(s)
Unit Coordinator(s)
Notes
You are required to bring your own device, such as a laptop, on which you can complete computational exercises, to the applied classes
Learning outcomes
Formulate a range of operations research problems as linear programming problems, and be able to solve them computationally;
Demonstrate an understanding how the most widely used linear programming algorithms work;
Apply duality theory to prove optimality of a solution;
Interpret the solutions of optimisation problems, including analysing sensitivity of solutions;
Implement several iterative algorithms for solving unconstrained non-linear optimisation problems and understand the mathematics behind these;
Formulate and solve general non-linear programs arising in engineering, data science and other areas.
Assessment
Scheduled and non-scheduled teaching activities
Workload requirements
Learning resources
Other unit costs
Costs are indicative and subject to change.
Miscellaneous items required (Unit course reader, Printing, Stationery) - $120.
Availability in areas of study
Financial and insurance mathematics
Mathematical statistics
Mathematics
Pure mathematics