Scientific Computing: Advanced Techniques & Applications (MATH3201)
Information valid for Semester 1, 2022
Course level
Undergraduate
Faculty
School
Mathematics & Physics School
Units
2
Duration
One Semester
Delivery mode
Internal
Class hours
3 Lecture hours
2 Practical or Laboratory hours
Prerequisite
(MATH2000 or MATH2001) and (COSC2500 or MATH2100)
Assessment methods
Assignment
Examination
Course enquiries
Study Abroad
This course is pre-approved for Study Abroad and Exchange students.
Current course offerings
| Course offerings | Location | Mode | Course Profile |
| Semester 1, 2025 (24/02/2025 - 21/06/2025) | St Lucia | In Person | Profile unavailable |
Please Note: Course profiles marked as not available may still be in development.
Course description
Many modern applications of mathematics are carried out on personal computers or super-computers. This course will introduce students to the theory and advanced applications of scientific computing using Matlab. The first section of the course will focus on Taylor series, Newton method, methods of steepest descent, and solution of ordinary differential equations. In the second half, boundary value problems, finite-difference, interpolation and integration will be introduced.
