MATH6111
Scientific Computing
- Credit
- 6 units
- Catalogue year
- 2027
- Recorded offerings
- First Semester
Course information
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.
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.
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.
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