Search Course Outline

Linear programming, the revised simplex method and its computational aspects, duality and the dual simplex method, sensitivity and post-optimal analysis. Network optimisation models and maximum flow algorithms. Transportation, assignment and transhipment models, and the network simplex method. Integer programming. The implementation and solution of optimisation models for practical applications.

Advanced Operations Research and Analytics topics including selected theory, algorithms and applications for non-linear programming, smooth and non-smooth optimisation, equilibrium programming and game theory.

Advanced Operations Research and Analytics topics including selected theory, algorithms and applications for non-linear programming, smooth and non-smooth optimisation, equilibrium programming and game theory.

Engineering science projects that require the application and integration of material taught in courses for the design of solutions requiring computational engineering, data analytics and operations research to meet client needs. Projects also require consideration of ethical issues, social impact, safety risks, and engineering practice.