- Code MATH6111
- Unit Value 6 units
See https://www.anu.edu.au/covid-19-advice. In Sem 1 2022, this course is delivered on campus with adjustments for remote participants.
This course presents the basic elements of scientific computing, in particular the methods for solving or approximating the solution of calculus and linear algebra problems associated with real world problems. Drawing on non-trivial problems from disciplines including physics, engineering and chemistry, and sophisticated scientific computing and visualisation environments, students are introduced to the basic computational concepts of stability, accuracy and efficiency, as new numerical methods and techniques are introduced to solve progressively more challenging problems.
Note: Graduate students attend joint classes with undergraduates but will be assessed separately. The assessment will have a greater focus on more theoretical aspects of the material.
Upon successful completion, students will have the knowledge and skills to:
- Understand and use fundamental mathematical techniques relevant to the analysis of scientific computing methods.
- Accurately motivate, describe and analyse important algorithms relevant to real-world scientific computing.
- Appropriately use a high-level programming language to solve scientific computing problems with proficiency and confidence.
- Use appropriate mathematical and computational tools to verify the reliability of scientific computing calculations.
- Demonstrate a capacity for rigorous analysis in sophisticated scientific computing and visualisation environments.
- 5 workshop responses demonstrating capacity to use relevant software (30) [LO 2,3,4,5]
- 5 written assignments demonstrating a rigorous, problem-based understanding of underlying algorithms and mathematical techniques (30) [LO 1,2,4,5]
- Final examination (40) [LO 1,2,3,4,5]
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The expected workload will consist of approximately 130 hours throughout the semester including:
- Face-to face component which may consist of 3 x 1 hour lectures per week (36 hours) as well as a total of 20 hours of workshop time.
- Approximately 74 hours of self-study per semester which will include preparation for lectures and completion of assessment tasks.
There are no course-specific inherent requirements.
Requisite and Incompatibility
You will need to contact the Mathematical Sciences Institute to request a permission code to enrol in this course.
This course has no prescribed texts.
Students previous background and knowledge will be considered on a case-by-case basis by the Mathematics Masters Convenor.
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you 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). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found 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
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|
|2957||20 Feb 2023||27 Feb 2023||31 Mar 2023||26 May 2023||In Person||N/A|