Course Title: Scientific Visualisation

Part A: Course Overview

Course Title: Scientific Visualisation

Credit Points: 12.00


Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

PHYS2097

City Campus

Undergraduate

135H Applied Sciences

Face-to-Face

Sem 2 2006,
Sem 2 2007,
Sem 2 2012,
Sem 2 2013

Course Coordinator: Gale Spring

Course Coordinator Phone: +61 3 9925 2835

Course Coordinator Email: gale.spring@rmit.edu.au

Course Coordinator Location: 3.1.08

Course Coordinator Availability: Appointment by email.


Pre-requisite Courses and Assumed Knowledge and Capabilities

None. This course is designed for anyone interested in visualisation of science.


Course Description

Scientific Visualisation is designed to make students aware how and why various scientific data and information is visualised to better understand and communicate its meaning. It looks at the information as well as the illustrative nature of interpreting data. It also looks at the techniques used to visualise phenomena for quantitative and qualitative output. It covers the scope from human visualisation and perception to imaging technologies such as microscopy, electron microscopy, medical imaging and art techniques. It also covers the interpretation of visualisation techniques in forensic science. Scientific Visualizsation is an overview of imaging and imaging interpretation.


Objectives/Learning Outcomes/Capability Development

Scientific Visualisation is designed to make students aware how and why various scientific data and information is visualised to better understand and communicate its meaning. It looks at the information as well as the illustrative nature of interpreting data. It also looks at the techniques used to visualise phenomena for quantitative and qualitative output.


You can identify and explain the choice of some technologies used in scientific visualisation.

You will be able to briefly explain the theory underpinning the technologies discussed in this course.

You will use visualisation technoloigy to present your information gained from this course.


Overview of Learning Activities

The course is delivered through weekly lectures, demonstrations and industry presentations. There are also 4 site visits to industries engaged in various visualisation technologies. It is expected students will participate in all activities including class discussions.


Overview of Learning Resources

Lists of relevant reference texts, resources in the library and freely accessible Internet sites will be provided. Blackbroard will be your primary source of this information.


Overview of Assessment

Numerous topic are covered in this course. Each topic will be represented as a ’chapter’ in an electronic presentation produced by the student required for final assessment. Topics covered in weeks 1-4 will have a deadline by week 6. Specifics will be outlined on Blackboard.