Visualization, Computer Graphics & Data Analysis (COSC3000)
Information valid for Semester 1, 2025
Course level
Undergraduate
Faculty
School
Mathematics & Physics School
Units
2
Duration
One Semester
Attendance mode
In Person
Class hours
2 Lecture hours
3 Practical or Laboratory hours
Incompatible
MATH3203
Prerequisite
COSC2500 or CSSE2002
Recommended prerequisite
SCIE2100
Assessment methods
Assignments, written reports, presentation
Course enquiries
Doctor Timo Nieminen ()
Dr Timo Nieminen (timo@physics.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, 2025 (24/02/2025 - 21/06/2025) | St Lucia | In Person | Course Profile |
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 models. 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 data analysis and the use of computer visualisation packages to understand and interpret computational models and their relationship to real world data.
