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Students who commenced study in 2015 should refer to this area of study entry for direction on the requirements; to check which units are currently available for enrolment, refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your area of study.
This area of study entry applies to students commencing this course in 2015 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 Science component of any bachelors double degrees.
Managing faculty | Faculty of Science |
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Offered by | Clayton School of Information Technology |
Campus(es) | Clayton, Malaysia |
Coordinator | Visit http://www.infotech.monash.edu.au/current/course-information/ (Clayton School of Information Technology); Dr Emily Goh Joo Kheng (Malaysia) |
Notes
At Malaysia campus only a minor is available in this area of study.
A significant aspect of scientific enquiry in the 21st century is the use of computational approaches and computational thinking. No contemporary scientist should be without knowledge of the methods of computational science, their potential and their limitations. A minor in computational science provides a general introduction to computing for students whose major interest is in another science discipline. A major is appropriate for those whose main focus is another discipline, but who want to become fully qualified as computational scientists, while a double major is suitable for students who want to specialise in computer science itself.
Graduates will be able to:
In addition to these requirements, students completing a major in computational science are required to have completed at least 12 points of mathematics units.
* Note that this unit has a pre-requisite of MTH1030 or MTH1035.
Graduates who have completed at least the 48-point major in computational science are eligible for membership of the Australian Computer Society.
The sequence of FIT1029, which covers algorithmic problem solving, and FIT1040, which covers basic problem solving and programming skills, is highly recommended for all students, whether or not they intend to become computer scientists. The level-one units serve both as a general introduction to computer science and as a prerequisite for further studies. Thus they may be taken either by students wishing to major in computational science or by students whose major interest is in some other branch of science.
Students who are considering completing a major in computational science should also take at least 12 points of mathematics units.
The level-two unit FIT2085, which extends the programming and problem solving skills established at level-one, provides a more focused introduction to computer science. The other level-two units aim to develop a firm foundation in the fundamental concepts of computer science, namely algorithm development (FIT2004) and the theory of computation (FIT2014).
Students intending to complete a major in computational science must take FIT3139, which provides an introduction to computational science, and FIT3143 (Parallel computing), a topic highly relevant to computational science, plus one 6-point computer science elective.
FIT3139 (Computational science) is also recommended for all students of science, whether or not they intend to become computer scientists.
Students intending to proceed to honours should complete at least the 48-point computational science major to ensure they have sufficient breadth to undertake the honours coursework units offered each year.
Coordinator: Dr Alan Dorin (Clayton School of Information Technology)
In addition to the requirements listed above, students must meet the entry requirements for the science honours program relevant to their course of enrolment. See the entries for:
Full details regarding the course structure for honours in this area of study are outlined in course 0051 Bachelor of Science (Honours).