• Offered by Research School of Engineering
  • ANU College ANU College of Engineering and Computer Science
  • Course subject Engineering
  • Areas of interest Engineering, Biomedical Science
  • Academic career UGRD
  • Mode of delivery In Person
  • Offered in First Semester 2017
    See Future Offerings

Some students not meeting the prereq courses may still obtain admission to this course. Please contact the course convenor.

This course covers the physical concept behind the bio-signal transduction that leads to the acquisition of signals from a biological system. It will also provide a framework towards the understanding of interpretation of these signals into multi-dimensional data for imaging and analysis. The images or signal are then used for understanding biological systems and also diagnostics purposes.  Key concept behind these techniques such as MRI, ultrasound, biophotonics, microscopy, EEG, and medical imaging processing will be taught in this course. There will be examples of qualitative performance in the context of molecular and clinical settings.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

Upon successful completion of this course, students will have the knowledge and skills to:
  1. Develop an understanding of biomedical imaging instruments to measure signals from biological systems.
  2. Understand the fundamental principles of advanced imaging concepts in fluorescence and nanoscale imaging to study molecular dynamics in living cells.
  3. Understand the limitation of each imaging modalities and also how they complement each other.
  4. Analyse and compare imaging systems for different biological levels: organs, tissues, cells, and molecules, justifying the pros and cons of each technique.
  5. Critique the design factors that contribute to construction of advanced bioimaging systems with numerical calculations and physical concepts.
  6. Analyse and compare the performance of each of the imaging modalities using basic numerical methods to measure biological systems of different size scales from nanometers to millimeters.

Professional Skills Mapping:
Mapping of Learning Outcomes to Assessment and Professional Competencies 

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Requisite and Incompatibility

To enrol in this course you must have successfully completed ENGN2217 or ENGN2218 or BIOL1004.




Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

6.00 0.12500
Domestic fee paying students
Year Fee
2017 $3852
International fee paying students
Year Fee
2017 $5130
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
3730 20 Feb 2017 27 Feb 2017 31 Mar 2017 26 May 2017 In Person N/A

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