FIT4012 - Advanced topics in computational science

Leader(s): Alan Dorin/Jon McCormack

Offered

Clayton First semester 2009 (Day)

Synopsis

All sciences are increasingly relying on computational support and the growth of many branches of science has only become possible due to the availability of efficient computational methods. The common basis of such methods are numerical methods and high performance computing. Topics for this unit include: Numerical Methods, High Performance and Parallel Computing, Optimization and Operations Research Bioinformatics, Simulation, Visualization and Modelling

Objectives

At the completion of this unit students be will be able to:

1. compare and contrast alternative computational approaches in this domain;
2. critically evaluate the limits and capabilities of these methods;
3. select, design and test computer programs in the domain;
4. where appropriate, use the standard computational packages in the chosen domain effectively for practical problem solving.

Assessment

Assignment and Examination, relative weight depending on topic composition. When no exam is given students will be expected to demonstrate their knowledge by solving practical problems and maybe required to give an oral report. This variability is designed to give flexibility to the lecturer to decided the most appropriate form of examination for a given choice of topics.

Contact hours

Lectures and laboratory classes: 3hrs/week

Prerequisites

Completion of the Bachelor of Computer Science or equivalent to the entry requirements for the Honours program. Students must also have enrolment approval from the Honours Coordinator.

Additional information on this unit is available from the faculty at:

http://www.infotech.monash.edu.au/units/fit4012