- Code MATH6112
- Unit Value 6 units
- Offered by Mathematical Sciences Institute
- ANU College ANU Joint Colleges of Science
- Course subject Mathematics
- Areas of interest Mathematics
- Academic career PGRD
- Prof Trygve Hegland
- Mode of delivery In Person
- Co-taught Course
Second Semester 2019
See Future Offerings
Please note that MATH6112 is run in semester 2 of odd years i.e. 2015, 2017, 2019 etc.
This course is aimed at students studying in science, engineering or economics who need to understand both the theoretical and practical aspects of the important algorithms and techniques of scientific computing, focussing on the areas of linear algebra. Students are encouraged to apply their learning to a specific research problem of their choosing.
Note: Graduate students attend joint classes with undergraduates but will be assessed separately
Upon successful completion, students will have the knowledge and skills to:
On satisfying the requirements of this course, students will have the knowledge and skills to:
1. Use sophisticated scientific computing and visualization environments to solve application problems involving matrix computation algorithms.
2. Analyze numerical algorithms, and understand the relationships between the computational effort and the accuracy of these algorithms.
3. Interpret the results produced by computer implementations of numerical algorithms.
4. Explain the effects of errors in computation and how such errors affect solutions.
5. Demonstrate the necessary analytical background for further studies leading to research in applied mathematics or related disciplines.
PG Assessment will be based on:
- Four written assignments involving maths and programming problems (40%; LO 1, 2, 3, 4)
- Individual project, extending application of a chosen algorithm to a mathematics or programming problem (30%; LO 1, 2, 3, 4)
- Open-book examination (30%; LO 1, 2, 3, 4)
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WorkloadThree lectures per week and regular workshops/computer labs.
Requisite and Incompatibility
You will need to contact the Mathematical Sciences Institute to request a permission code to enrol in this course.
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
- Domestic fee paying students
- International fee paying students
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|8034||22 Jul 2019||29 Jul 2019||31 Aug 2019||25 Oct 2019||In Person||View|