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. Using a non-trivial model problem such as the heat equation, 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 introduce to solve progressively more challenging problems.
Note: Graduate students attend joint classes with undergraduates but will be assessed separately
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- Use high-level programming language such as Python with proficiency and confidence
- Use appropriate tools to verify the output and reliability of code/data
- Use computing and visualisation software appropriately in scientific or engineering problems
- Demonstrate a capacity for rigorous analysis in sophisticated scientific computing and visualisation environments
Indicative Assessment
- Assessment will be based on: (null) [LO null]
- 10 workshopl responses demonstrating a highly analytical capacity to use relevant software (30%; LO 1, 2, 3, 4) (30) [LO null]
- 5 written assignments demonstrating a rigorous, problem-based understanding of algorithms (30%; LO 1, 2, 3, 4) (30) [LO null]
- Final examination (40%; LO, 1, 2, 3, 4) (40) [LO null]
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Workload
Three lectures per week and regular workshops/computer labs.Inherent Requirements
Not applicable
Requisite and Incompatibility
You will need to contact the Mathematical Sciences Institute to request a permission code to enrol in this course.
Fees
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:
- 2
- 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.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2019 | $4320 |
- International fee paying students
| Year | Fee |
|---|---|
| 2019 | $5700 |
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.
First Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 2478 | 25 Feb 2019 | 04 Mar 2019 | 31 Mar 2019 | 31 May 2019 | In Person | N/A |
