MATH6112
Matrix Computations
- Credit
- 6 units
- Catalogue year
- 2027
- Recorded offerings
- Second Semester
Course information
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
Requisite and Incompatibility
Incompatible with MATH3512
You will need to contact the Mathematical Sciences Institute to request a permission code to enrol in this course.
Learning Outcomes
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.
Saved ANU Programs & Courses information, 2027. Future offerings are indicative. Checks use the saved requirements and your fictional academic record.
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