Course Title: Scientific Visualisation
Part A: Course Overview
Course Title: Scientific Visualisation
Credit Points: 12.00
Terms
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.