Scientific computing: advanced techniques and applications (MATH3201)
Course level
Undergraduate
Faculty
School
Mathematics & Physics School
Units
2
Duration
One Semester
Class hours
2 Lecture hours
2 Practical or Laboratory hours
Prerequisite
MATH2200 or COSC2500
Assessment methods
Project, assignment, exam
Course enquiries
Dr Tony Roberts (apr@maths.uq.edu.au) and Prof Bernard Pailthorpe (bap@uq.edu.au)
Study Abroad
This course is pre-approved for Study Abroad and Exchange students.
Current course offerings
| Course offerings | Location | Mode | Course Profile |
| Semester 1, 2024 (19/02/2024 - 15/06/2024) | St Lucia | In Person | Course Profile |
Please Note: Course profiles marked as not available may still be in development.
Course description
This course will introduce students to problem solving using scientific computing and advanced numerical methods, in environments such as Matlab, or building on software libraries available in C or Fortran. This course contains a large hands-on component (practicals and project) and provides a link with real-world applications, spanning biology, chemistry and physics. Topics such as scientific visualisation, high performance computing and grid computing will be introduced. Suitable for students in any scientific or engineering discipline.
