Wednesday, 10 August 2011

Monash Graduates Become Computationally Savvy

            Monash University

Dr Robert PanoffMonash University has taken a progressive approach to postgraduate education by hosting world-leading trainers in computational science to run workshops introducing students to the sophisticated computer modelling relied upon by many modern researchers. 
Dr Robert Panoff, and Professors Angela and George Shiflet facilitated the week-long workshops where postgraduate students developed the logical and operational skills necessary to take advantage of technology available for analysing the enormous amounts of data produced in the course of scientific research.
Professor David Abramson, Science Director of the Monash e-Research Centre, was one of the primary organisers of the workshops.
“We are really keen to enhance our students’ capabilities so they will be comfortable using advanced computational methods along-side their experimental research. Computational methods are going to play an increasingly important role in research, and this is a wonderful opportunity”, Professor Abramson said.
Dr Robert Panoff is a highly-respected trainer and founder of the pioneering Shodor organisation in the United States which engages students to develop computational training tools for science, technology, engineering and mathematics.
Dr Panoff’s workshop introduced students from a variety of disciplines to different kinds of computational modelling tools.
“The students were asked to examine a scientific problem and consider all the constructs and variables, and to select the most useful tool and approach for their data investigation.” Dr Panoff said.
Professors Angela and George Shiflet have been heavily involved in the development of computational science training for the sciences, and authored the first introductory textbook on the topic, 'Introduction to Computational Science: Modeling and Simulation for the Sciences’, published by Princeton University Press.
Their workshop introduced life science students to the benefits of computer modelling for analysing complex biological systems.

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