Johnson, Bryan Norman, and Nicola Secomandi,Tutorials Co-Chairs and Volume EditorsPaul Gray, Series EditorHarvey J. In addition aggregated course SELT data is available.2006Tutorials in Operations ResearchModels, Methods, and Applications forInnovative Decision MakingMichael P. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. Under the current SELT Policy () course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews. The University places a high priority on approaches to learning and teaching that enhance the student experience. Skills of a high order in interpersonal understanding, teamwork and communication.Ī proficiency in the appropriate use of contemporary technologies.Ī commitment to continuous learning and the capacity to maintain intellectual curiosity throughout life.Ī commitment to the highest standards of professional endeavour and the ability to take a leadership role in the community.Īn awareness of ethical, social and cultural issues within a global context and their importance in the exercise of professional skills and responsibilities. The ability to locate, analyse, evaluate and synthesise information from a wide variety of sources in a planned and timely manner.Īn ability to apply effective, creative and innovative solutions, both independently and cooperatively, to current and future problems. Knowledge and understanding of the content and techniques of a chosen discipline at advanced levels that are internationally recognised. This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below: University Graduate Attribute Topics covered are: formulating a linear program the Simplex Method duality and Complementary slackness sensitivity analysis an interior point method alternative means to solve some linear and integer programs, such as primal-dual approaches methods from a complete solution (such as Greedy Methods, and Simulated Annealing), methods from a partial solution (such as Dijkstra's shortest path algorithm, and branch-and-bound).Ĭourse Coordinator: Professor Matthew Roughan Students will undertake a team project based on an actual Adelaide problem. Examples will be presented from important application areas, such as the emergency services, telecommunications, transportation, and manufacturing. It will also explore the role of heuristics in such problems. The course covers a variety of mathematical techniques for linear optimisation, and the theory behind them. It focuses on linear optimisation problems involving both continuous, and integer variables. This first course in OR concentrates on mathematical modelling and optimisation: for example maximising production capacity, or minimising risk. OR is an interdisciplinary topic drawing from mathematical modelling, optimisation theory, game theory, decision analysis, statistics, and simulation to help make decisions in complex situations. Operations Research (OR) is the application of mathematical techniques and analysis to problem solving in business and industry, in particular to carrying out more efficiently tasks such as scheduling, or optimising the provision of services.
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