Visualization, Computer Graphics & Data Analysis (COSC3000)
Information valid for Semester 1, 2021
Course level
Undergraduate
Faculty
Schools
Chemistry & Molec Biosciences, Info Tech & Elec Engineering, Mathematics & Physics School
Units
2
Duration
One Semester
Delivery mode
External
Class hours
2 Lecture hours
3 Practical or Laboratory hours
Incompatible
MATH3203
Prerequisite
COSC2500 or CSSE2002
Recommended prerequisite
SCIE2100
Assessment methods
Assignments, written reports and presentation or exam
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
Scientific visualisation is the use of images to provide insight into phenomena, and is a key tool for the analysis and understanding of biological, physical and engineering processes. It is becoming ever more important as the size of data sets continue to grow due to increasing power of computers and measurement devices. This course provides an introduction to computer graphics, data analysis and visualisation as tools to understand and interpret real world data and output from large-scale computational models.
