Unit information
- Unit code
- MXB226
- Faculty
- Faculty of Science
- School/Discipline
- School of Mathematical Sciences
- Study area
- Science
- Credit points
- 12
Dates and locations
Teaching period | Dates | Locations |
---|---|---|
Semester 2, 2024 | 22 July 2024 - 16 November 2024 | Gardens Point |
Fees
- Commonwealth supported place (CSP) student contribution amount
- 2024: $555
- Domestic fee-paying student fee
- 2024: $3,324
- International student fee (excluding study abroad students)
- 2024: $4,296
Guide to fees
Previous study requirements
Guide to previous study requirements
[object Object]
{"attributes":{"DGCIF":"Available for cross institutional students - faculty approval required","STBFAC":"Science & Technology UG - Faculty Wide Units","LEW3FAC":"Late Enrolment - Available for enrolment Week 3 - faculty approval required","DGSAF":"Study Abroad / Exchange (UG) - faculty approval required","DGNAF":"Available for Single Unit students (UG) - faculty approval required","SCBUNI":"Science & Math UG - Uni Wide Units"},"study-types":["Cross-institutional study","Single-unit study"],"availabilities":[{"study-mode":"All","attendance-mode":"Internal","location":"Gardens Point","campus":"Gardens Point","study-period":"Semester 2","date-end":"2024-11-15T14:00Z","date-start":"2024-07-21T14:00Z","year":2024}],"broad-study-area":{"name":"Science","foe":10101},"code":"MXB226","credit-points":12,"fees":[{"csp":"$555","dom":"$3,324","int":"$4,296","year":2024}],"faculty":{"code":460100,"title-short":"Science","title-full":"Faculty of Science"},"school-discipline":{"code":460900,"title-short":"Mathematical Sci","title-full":"School of Mathematical Sciences"},"unit-requisites":{"equiv":"MAB420, MXB222","pre":"MXB103 and \nMXB201"},"sams-version":1,"summer":[],"synopsis":"This is a foundational unit for Computational Mathematics. It introduces the design and implementation of mathematical models that can then be solved using techniques in Computational Mathematics. These techniques will be analysed for important properties such as efficiency, stability, convergence and error. The main topics that will be covered include: finite difference methods for models of heat diffusion in two dimensions; direct and iterative methods for linear systems; efficient storage of data; approximation; numerical integration; numerical methods for ordinary differential equations.","title-full":"MXB226 Computational Methods 1","title-short":"Computational Methods 1","url":{"current":"https://qutvirtual4.qut.edu.au/group/student/enrolment/units/unit?unitCode=MXB226&year=2024","prospective":"https://www.qut.edu.au/study/unit?unitCode=MXB226","timetable":"https://qutvirtual3.qut.edu.au/qvpublic/ttab_unit_search_p.process_teach_period_search?p_unit_cd=MXB226"},"year":2024,"years":[2024]}
Unit outlines
Loading unit outlines...
Offer of some units is subject to viability, and information in these Unit Outlines is subject to change prior to commencement of the teaching period.