• Offered by Department of Quantum Science
  • ANU College ANU Joint Colleges of Science
  • Course subject Physics
  • Areas of interest Earth and Marine Sciences, Astronomy and Astrophysics, Photonics, Physics, Science

Imaging is one of the most important tools in scientific discovery; as they say, "seeing is believing." It can give conclusive evidence of certain properties, structures, composition and even processes providing invaluable insight into objects of interest. There are many ways to image matter; the right choice depends on the scale, time-frame, and property of interest. Objects can be imaged in 2D or 3D with various probes including electromagnetic radiation, particles, and acoustic waves. Advanced imaging is becoming increasingly important, producing imaging systems with significantly enhanced capabilities such as in ground-penetrating radar, magnetic resonance imaging, synthetic aperture radar, hyperspectral imaging, and computed tomography.
While this unique course will cover conventional imaging techniques, the focus will be more on advanced imaging for specific applications. It will include case-studies of some of the state-of-the-art instruments and techniques used by world-class scientists in Astronomy, Geophysics, and Physics researchers here at ANU. The imaging material covered includes optical, hyper-spectral, scanning probe, interferometric, and tomographic (both emission and transmission modes).

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. Understand a range of conventional and advanced 2D and 3D imaging techniques;
  2. Describe the different matter/probe (e.g., infrared, neutrons, acoustic) interactions and which are ideal to identify an object’s characteristic of interest;
  3. Understand how these techniques are used in some principle application areas (astronomical, seismic, biomedical, atmospheric studies);
  4. Describe the concept of computational imaging and apply some techniques involved such as expectation maximisation and compressed sensing;
  5. Understand and appreciate the limits and pitfalls of using images to make inferences;
  6. Evaluate the performance and limitations of an imaging technique for a given application.

Indicative Assessment

Assessment will be based on:
  • Assignments 25% LO1-4
  • Labs 20% LO1, 3-5
  • Exam 30% LO1-6
  • Project 25% LO5-6

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120 hours of total student learning time, including 42 hours of lectures and drop-in sessions, 6 hours of laboratory work across the semester and individual study.

Requisite and Incompatibility

To enroll in this course, you must be currently enrolled in the Master of Science in Precision Instrumentation and Measurement, or with prior approval from the course convenor. You must have previously completed PHYS6711.

Assumed Knowledge

Basic computing, Fourier analysis, basic linear algebra. 12 units of university level mathematics for physicists and engineers. 12 units of first year university advanced level physics.


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
2019 $3840
International fee paying students
Year Fee
2019 $5460
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

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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
3600 24 Feb 2020 02 Mar 2020 08 May 2020 05 Jun 2020 In Person N/A

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