By its nature, computation is close to mathematics. This unit examines some of the mathematical processes that underlie the science and technology specific to the computer age, with emphasis on applications using Python. This provides a treatment of discrete mathematics to support the programs of students taking a first course in Computer Science or planning to study such areas of advanced mathematics as Algebra, Number Theory and Probability. Skills developed are also useful for careers in Operations Research, Engineering, Management, Finance, Economics and Teaching.
|Unit name||Computational Science|
|Faculty/School||College of Sciences and Engineering
School of Technology, Environments and Design
|Discipline||Information & Communication Technology|Mathematics|
James Montgomery, Malgorzata O'Reilly
|Available as student elective?||Yes|
|Location||Study period||Attendance options||Available to|
- International students
- Domestic students
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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
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* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
Unit census dates currently displaying for 2020 are indicative and subject to change. Finalised census dates for 2020 will be available from the 1st October 2020.
|Band||CSP Student Contribution||Full Fee Paying (domestic)||Field of Education|
|2||2019: $1,169.00||2019: $2,321.00||020199|
Fees for next year will be published in October. The fees above only apply for the year shown.
Please note: international students should refer to this page to get an indicative course cost.
You cannot enrol in this unit as well as the following:
3hrs lectures, 1-2hrs online modules for those with no prior programming experience, 1hr tutorial, 1hr laboratory class each week
60% tests (3 x 50-minute tests worth 20% each, at regular intervals during semester), 40% assignments (10 weekly assignments alternating between mathematics and programming )
|Timetable||View the lecture timetable | View the full unit timetable|
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.