Course Title: Applied Industrial Imaging

Part A: Course Overview

Course Title: Applied Industrial Imaging

Credit Points: 12.00

Course Code




Learning Mode

Teaching Period(s)


City Campus


135H Applied Sciences


Sem 2 2006,
Sem 2 2007


City Campus


345H Media and Communication


Sem 2 2009,
Sem 2 2010

Course Coordinator: Mr Phred Petersen

Course Coordinator Phone: +61 3 9925 2502

Course Coordinator Email:

Course Coordinator Location: 5.2.38

Course Coordinator Availability: Fridays 9:30-3:30

Pre-requisite Courses and Assumed Knowledge and Capabilities

PHYS2103 Scientific Imaging and Illustration 1
PHYS2104 Scientific Imaging and Illustration 2 
or permission of Course Coordinator

Course Description

This course is a project- based, problem solving approach to using imaging technologies to address problems encountered in industry. Topics may include applications of machine vision, high speed imaging, stroboscopic techniques, flow visualization, and schlieren/shadowgraph techniques to answer specific questions relating to a process or event. The practical photographic foundation for these projects is built in PHYS 2103 Scientific Imaging and Illustration 1 and PHYS 2104 Scientific Imaging and Illustration 2.

You will be expected to work in small teams to identify the problem, propose a method of data collection and analysis, test your solution, and report your results. Problem scenarios will be chosen to simulate issues found in industry, while allowing the freedom of an educational environment to test several solutions if necessary.

This course has been designed principally as a core course for students in the Scientific Major of the Bachelor of Arts Photography Program. Cross-disciplinary participation is welcomed, and students in other programs who have suitable photographic background may choose it as an elective, with permission of the Course Coordinator.

Objectives/Learning Outcomes/Capability Development

This course will build problem solving and project management skills through engagement in simulated industrial applications.

On successfully completing this course, you will be able to:
• Define a problem and devise a strategy to investigate that problem
• Choose equipment and technique appropriate for the investigation
• Apply specialized equipment and techniques to collect data relevant to the problem
• Analyse the data and evaluate the validity of your findings
• Report findings to a peer audience
• Work with members of a diverse team to manage and complete a project

Overview of Learning Activities

The course will be project based. Each project will be prefaced with a lecture outlining the problem and describing possible solutions. Operation of any specialized equipment will be included in the background lecture. Each small team will then have the responsibility for clearly defining the problem presented to them, proposing an appropriate method of investigation, collecting and analyzing data, and presenting their findings to the group for discussion. Ample individual consultation time with the lecturer will be provided to address the needs of separate teams.

A written report of each project will be produced, and an oral presentation will be made to the entire class group.

Projects available may be dependent upon the specialized equipment available. Liaisons with industry may provide access to equipment that is not feasible for the program to own outright.

Overview of Learning Resources

There is no single textbook for this course, as the breadth of topics varies and may be covered in several sources. Lectures will be supported with handouts, materials distributed online via the DLS and specific references where appropriate. Participants will be encouraged to keep a Computation Book of all assignments. Students will be required to undertake further reading and study of the weekly topics from appropriate texts held within the library, related periodicals, journals, and WWW resources.

Lists of relevant reference texts, resources in the library and freely accessible Internet sites will be provided as appropriate.

Overview of Assessment

A maximum of three projects will be completed by each team, per semester. The number of projects assigned will be determined by the complexity of the problems chosen, and the specific topic areas may be influenced by the industry support that is offered during a given semester.

Completion of the defined imaging projects will assess your ability to work as part of a team to define a problem, propose and test solutions and collect and analyse visual data. Written reports and oral presentations will assess the ability to organise and present results to an audience of peers.