Basic Decision Analysis

Please confirm if this course is available in current course offerings.

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Expression of Interest form

Contact information

For further information or to request a quotation, please contact the Professional Education Courses Unit on:

Enquiries Phone: 02 5114 5573

Enquiries Email: ProfEdCourses@adfa.edu.au

In-house delivery

UNSW Canberra Professional Education Courses may be available for in-house delivery at your organisation's premises. In-house courses allow maximum attendance without the additional travel costs. Courses can be developed to suit the specific staff development and training needs of your organisation. Recommended for groups of 10 or more.

This course will be run as a live simulcast online course presented through Microsoft Teams.  You will be required to use Excel 2016 or later during this course.

As the world’s problems, both private and public, become more complex and more global, decision analysis has an increasingly important role to play to help decision makers gain a greater understanding of the problems they face and the environment in which those problems must be addressed. This course aims to make decision analysis more understandable and therefore become more accessible for potential decision makers.

Prior Knowledge: Should be familiar with basic operations of Excel. If not, a short course ‘Basic Data Analytics’ is recommended prior to taking this course.

Presenters

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.

Course Information

This three-day course addresses decision analysis. Topics will include: heuristic decision making, payoff matrices, decision models, decision trees, probability theory, utility functions, single and multiple criteria decision analysis, AHP, SMART, Monte-Carlo simulation, and resource allocation and negotiation models.

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.