436-414 Optimisation

200-level Mathematics and 620-370 Statistics for Mechanical Engineers or equivalent.

Upon completion, students should be able to model and solve a range of decision-making problems in Mechanical, Biomedical and Mechatronic engineering by applying the techniques of mathematical programming, stochastic modelling and Optimisation.

Topics covered include modeling and optimization methods in Artificial Intelligence, decision theory, basics of Convex Optimisation, queuing models and Markov processes.

• ability to apply knowledge of basic science and engineering fundamentals

• in-depth technical competence in at least one engineering discipline

• ability to undertake problem identification, formulation and solution

• ability to utilise a systems approach to design and operational performance

• capacity for independent critical thought, rational inquiry and self-directed learning

One 3-hour end-of-semester examination (70%); one written project report of up to 6,000 words with no more than 10 pages of supporting material (appendices, diagrams, tables etc) due towards the end of the semester (30%).