This area of study entry applies to students commencing this course in 2013 and should be read in conjunction with the relevant course entry in the Handbook. Any units listed for this area of study relate only to the 'Requirements' outlined in the Faculty of Information Technology component of any bachelors double degrees.
|Managing faculty||Faculty of Information Technology|
|Offered by||Clayton School of Information Technology|
|Coordinator||Dr David Albrecht|
Twenty-first century science without computational support is practically unimaginable. Computational analysis and visualisation are the basis to cope with the vast amounts of data that modern science and engineering must process. Computers allow us to perform virtual experiments that are too dangerous, too costly, or plainly impossible to conduct in reality, and using simulation we can even explore hypothetical worlds. The computational science major complements computer science with foundational studies in another field of science and with specialised topics in scientific computation. It aims to produce graduates that combine a scientific education with computational expertise and are adept in trans-disciplinary work.
Note: Students completing a minor or major in computational science will complete alternative units for two of the core units in the Bachelor of Computer Science as follows:
(a.) replace MAT2003 (Continuous mathematics for computer science) with one of:
(b.) replace FIT2003 (IT professional practice) with one of:
Students complete the minor in computational science (above) plus either a minor in mathematics or a minor in a science area of study, such as biology, physics, chemistry, and biotechnology. Refer to the Science areas of study available for Clayton at http://www.monash.edu.au/pubs/2013handbooks/aos/index-byfaculty-sci.html.
Website: visit http://www.infotech.monash.edu.au/about/contact.html
2380 Bachelor of Computer Science