This course explores elements of scientific computing, focusing on methods for solving or approximating the solution of calculus and linear algebra problems associated with real-world applications. By 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. New numerical methods and techniques are developed 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.
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Requisite and Incompatibility
Incompatible with MATH3511
You will need to contact the Mathematical Sciences Institute to request a permission code to enrol in this course.
Referenced entries (1)
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- MATH3511 · 2027 · saved source not linked
Learning Outcomes
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 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.
Published offerings
Future offerings are indicative. Only recognised 2027 sessions with a published class number are offered in the enrolment demo.
| Year | Session | Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|---|---|
| 2027 | First Semester | 4026 | 22 Feb 2027 | 01 Mar 2027 | 31 Mar 2027 | 28 May 2027 | In Person | N/A |
| 2028 | First Semester | 5576 | 21 Feb 2028 | 28 Feb 2028 | 31 Mar 2028 | 26 May 2028 | In Person | N/A |
Complete offering text
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. The list of offerings for future years is indicative only. Class summaries, if available, can be accessed by clicking on the View link for the relevant class number. 2027 2028 First Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 4026 22 Feb 2027 01 Mar 2027 31 Mar 2027 28 May 2027 In Person N/A First Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 5576 21 Feb 2028 28 Feb 2028 31 Mar 2028 26 May 2028 In Person N/A
Source evidence (1 saved copy)
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