- Code MATH4201
- Unit Value 6 units
This course will introduce students to current research trends in an area of computational mathematics. Possible topics: data mining algorithms, multiscale and multilevel techniques, the numerical solution of PDEs, optimisation, approximation in particular of high-dimensional functions, algorithms for the solution of linear systems of equations including iterative methods.
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. Explain the fundamental concepts of a special topic in computational mathematics and its role in modern mathematics and applied contexts.
2. Demonstrate accurate and efficient use of specific computational mathematics techniques.
3. Demonstrate capacity for mathematical reasoning through analysing, proving and explaining concepts from computational mathematics.
4. Ability to conduct some (limited) independent research under expert supervision.
Assessment will be based on:
- Three assignments (45% in total; LO 1-4)
- Final examination (55%; LO 1-3)
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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.
Assumed KnowledgeA solid background in mathematics is expected. Typically requires MATH3320 and MATH3511 and/or MATH3512, but consultation with course coordinators is essential.
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.
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|
|3311||19 Feb 2018||27 Feb 2018||31 Mar 2018||25 May 2018||In Person||N/A|