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This short course (which also forms the first three days of our Systems Thinking and Modelling Practice course) introduces the most appropriate ways of visualising the interrelationships between the various parts of real-world problems – from straightforward well-behaved problems to those that change over time and are resistant to corrective action. The course provides solid foundations for developing strategies and managing problems including those for which conventional reductionist ways of thinking are ineffective.
Those interested in practising the skills developed in this course may wish to stay on for the following two days to complete the Systems Thinking and Modelling Practice course, which forms the basis of the micro-credential ZEIT8244 Systems Thinking and Modelling Knowledge course that may be used to gain credit towards a postgraduate program (see Masters credit section below).
No prior knowledge is assumed.
This three-day course addresses evidence-based decision making. This course will address the hierarchy of evidence, the strength of the evidence, the reliability and validity of evidence. The course will also discuss the methodologies used to gather evidence, discussing the quality framework for good decision making, explaining different topics on judgement-based, behavioural, and naturalistic decision making, and discussing the biases that can occur in human-decision making and the qualitative tools applicable to the evidence-based decision-making process.
The course is valuable for anyone interested in basic data and decision analysis.
Prof. Charles S Newton obtained his PhD in Nuclear Physics from the ANU in 1975. He is an Emeritus Professor in the School of Engineering and IT, UNSW Canberra. He was the Head of the former School of Computer Science (currently a part of School of Engineering and IT) from 1993 to 2003. He was the President of National Committee of the Australian Society for Operations Research (ASOR) in 1995-96. He is the co-author of the book Optimization Modelling: A Practical Approach, Taylor & Francis /CRC Press, Boca Raton. Prof. Newton is well-known, both nationally and internationally, for his practice in Operations Research specifically for defence related problems.
Prof. Ruhul A Sarker obtained his Ph.D. in Operations Research from Dalhousie University (former TUNS), Halifax, Canada in 1992. He is currently a Professor in the School of Engineering and IT, co-ordinator of the Master of Decision Analytics program in the school, and the Director of Faculty Postgraduate Research at UNSW Canberra (located at ADFA), Australia. He was the Deputy Head of School (Research) from 2011 to 2014. Prof. Sarker’s broad teaching and research interests include decision analytics, computational intelligence, operations research, and applied optimization. He is the lead author of the book Optimization Modelling: A Practical Approach, Taylor & Francis /CRC Press, Boca Raton. Prof. Sarker has successfully obtained more than $1.5million external research grants. He was a member of the national executive committee of the Australian Society for Operations Research (ASOR) and Editor-in-chief of ASOR Bulletin from 2000 to 2011. As recognition of Prof. Sarker’s contributions to ASOR and Operations Research, ASOR awarded him an ASOR Medal (2011) and Special Service Certificate (2009). Currently, he is an associate editor of three international journals.
Courses will be held subject to sufficient registrations. UNSW Canberra reserves the right to cancel a course up to five working days prior to commencement of the course. If a course is cancelled, you will have the opportunity to transfer your registration or be issued a full refund. If registrant cancels within 10 days of course commencement, a 50% registration fee will apply. UNSW Canberra is a registered ACT provider under ESOS Act 2000-CRICOS provider Code 00098G.