Basic Decision Analytics

Contact information

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

Enquiries Phone: 02 5114 5573

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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.

Decision analytics refers to a systematic, quantitative, iterative and interactive approach to addressing and evaluating important decision choices confronted by organisations in the private and public sector. This short course on ‘Spreadsheet based Decision Analytics’ is designed to provide basic understanding of the principles and practices of decision analytics, to introduce several decision-making tools for analysing complex decision problem environments, and for making appropriate decisions within that environment, and to strengthen the individual’s decision making skills.

The decision-making tools, that would be covered in this short course, are suitable for tactical and operational level decision problems. Typical examples of such problems include project selection, budget allocation, resource allocation and planning, transportation planning, and rostering and scheduling. The course includes hands-on training with spreadsheet based tools for decision making.

This course covers Module 1 of the five days course of ‘Advanced Decision Analytics’.

Prior Knowledge: Must be familiar with basic operations of Excel, and knowledge of High School level maths would be an advantage. If not, a short course ‘Basic Data Analytics’ is recommended prior to taking this course.


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 well-structured Decision Analytics problems using spreadsheets. The course addresses the concepts of analytics and introduces few basic decision analytics tools such as linear program and integer program for practical decision making. Examples of a wide variety of problems that can be solved using an Add-in to EXCEL (Solver), will be covered. Problems involving product mix, capital budgeting, transportation, assignment and networks to name a few will be presented. Sensitivity analysis will also be discussed in detail.

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.