Course level

Undergraduate

Faculty

Science

Schools

Chemistry & Molec Biosciences, Info Tech & Elec Engineering, Mathematics & Physics School

Units

2

Duration

One Semester

Delivery mode

Internal

Class contact

2 Lecture hours, 3 Practical or Laboratory hours

Incompatible

MATH3203

Prerequisite

COSC2500 or CSSE2002

Recommended prerequisite

Assessment methods

Assignments, written reports, presentation

Course coordinator

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, 2017 St Lucia Internal 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 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.

Archived offerings

Course offerings Location Mode Course Profile
Semester 1, 2016 St Lucia Internal Course Profile
Semester 1, 2015 St Lucia Internal Course Profile
Semester 1, 2014 St Lucia Internal Course Profile
Semester 1, 2013 St Lucia Internal Course Profile
Semester 1, 2012 St Lucia Internal Course Profile
Semester 1, 2011 St Lucia Internal Course Profile
Semester 1, 2010 St Lucia Internal Course Profile