• Class Number 2736
  • Term Code 3430
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
  • COURSE CONVENER
    • AsPr Andrew Kingston
  • LECTURER
    • AsPr Andrew Kingston
    • Dr Glenn Myers
    • AsPr Nicolas Francois
    • AsPr Tony Travouillon
  • Class Dates
  • Class Start Date 19/02/2024
  • Class End Date 24/05/2024
  • Census Date 05/04/2024
  • Last Date to Enrol 26/02/2024
SELT Survey Results

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.

Recommended student system requirements 

ANU courses commonly use a number of online resources and activities including:

  • video material, similar to YouTube, for lectures and other instruction
  • two-way video conferencing for interactive learning
  • email and other messaging tools for communication
  • interactive web apps for formative and collaborative activities
  • print and photo/scan for handwritten work
  • home-based assessment.

To fully participate in ANU learning, students need:

  • A computer or laptop. Mobile devices may work well but in some situations a computer/laptop may be more appropriate.
  • Webcam
  • Speakers and a microphone (e.g. headset)
  • Reliable, stable internet connection. Broadband recommended. If using a mobile network or wi-fi then check performance is adequate.
  • Suitable location with minimal interruptions and adequate privacy for classes and assessments.
  • Printing, and photo/scanning equipment

For more information please see https://www.anu.edu.au/students/systems/recommended-student-system-requirements

Staff Feedback

Students will be given feedback in the following forms in this course:

  • written comments
  • verbal comments
  • feedback to whole class, groups, individuals, focus group etc

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). Feedback can also be provided to Course Conveners and teachers via the Student Experience of Learning & Teaching (SELT) feedback program. SELT surveys are confidential and also provide the Colleges and ANU Executive with opportunities to recognise excellent teaching, and opportunities for improvement.

Class Schedule

Week/Session Summary of Activities Assessment
1 Introduction to x-ray, neutron, and electron imaging reading several book-chapters and review papers
2 X-ray phase-contrast imaging techniques (propagation-based, grating based , and patterned-illumination methods) reading several book-chapters and review papers
3 Computational imaging concepts, part 1 (single-pixel camera and ghost imaging examples) reading several book-chapters and review papers
4 Computational imaging concepts, part 2 (iterative image reconstruction techniques) reading several book-chapters and review papers. Examination: assessment task 1 - oral presentation + oral examination.
5 X-ray Computed Tomography, part 1 reading several book-chapters and review papers
6 X-ray Computed Tomography, part 2 reading several book-chapters and review papers
7 Optical Projection Tomography reading several book-chapters and review papers
8 Optical Coherence Tomography reading several book-chapters and review papers. Examination: assessment task 2 - oral presentation + oral examination.
9 Optical and Infrared detector technologies reading several book-chapters and review papers
10 Image processing techniques reading several book-chapters and review papers
11 Spectroscopy reading several book-chapters and review papers
12 Adaptive Optics reading several book-chapters and review papers. Examination: assessment task 3 - oral presentation + oral examination.

Tutorial Registration

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.

Assessment Summary

Assessment task Value Learning Outcomes
Presentation plus oral examination 1 34 % 1,2,3,4,5,6
Presentation plus oral examination 2 33 % 1,2,3,5,6
Presentation plus oral examination 3 33 % 1,2,3,5,6

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details

Policies

ANU has educational policies, procedures and guidelines , which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Integrity Rule before the commencement of their course. Other key policies and guidelines include:

Assessment Requirements

The ANU is using 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. For additional information regarding Turnitin please visit the Academic Skills website. In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified by the Course Convener and approved by the Associate Dean (Education) on the basis of the teaching model being employed; students shall submit assessment online via ‘Wattle’ outside of Turnitin, or failing that in hard copy, or through a combination of submission methods as approved by the Associate Dean (Education). The submission method is detailed below.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.

Assessment Task 1

Value: 34 %
Learning Outcomes: 1,2,3,4,5,6

Presentation plus oral examination 1

This is a reading course broken into 3 broad topics of imaging techniques. At the completion of each topic students will be asked to present some specific elements of the current reading material followed by a question time (oral examination). The presentation scope and related questions will be designed to cover the learning outcomes.

 

Due date: at completion of first topic of subject matter (end of week 4).

Presentation requirements: oral presentation (up to 30 mins) plus oral examination (up to 30 mins)

 

Assessment Task 2

Value: 33 %
Learning Outcomes: 1,2,3,5,6

Presentation plus oral examination 2

This is a reading course broken into 3 broad topics of imaging techniques. At the completion of each topic students will be asked to present some specific elements of the current reading material followed by a question time (oral examination). The presentation scope and related questions will be designed to cover the learning outcomes.

 

Due date: at completion of second topic of subject matter (end of week 8).

Presentation requirements: oral presentation (up to 30 mins) plus oral examination (up to 30 mins)

 

Assessment Task 3

Value: 33 %
Learning Outcomes: 1,2,3,5,6

Presentation plus oral examination 3

This is a reading course broken into 3 broad topics of imaging techniques. At the completion of each topic students will be asked to present some specific elements of the current reading material followed by a question time (oral examination). The presentation scope and related questions will be designed to cover the learning outcomes.

 

Due date: at completion of the third topic of subject matter (end of week 12).

Presentation requirements: oral presentation (up to 30 mins) plus oral examination (up to 30 mins)

 

Academic Integrity

Academic integrity is a core part of the ANU culture as a community of scholars. The University’s students are an integral part of that community. The academic integrity principle commits all students to engage in academic work in ways that are consistent with, and actively support, academic integrity, and to uphold this commitment by behaving honestly, responsibly and ethically, and with respect and fairness, in scholarly practice.


The University expects all staff and students to be familiar with the academic integrity principle, the Academic Integrity Rule 2021, the Policy: Student Academic Integrity and Procedure: Student Academic Integrity, and to uphold high standards of academic integrity to ensure the quality and value of our qualifications.


The Academic Integrity Rule 2021 is a legal document that the University uses to promote academic integrity, and manage breaches of the academic integrity principle. The Policy and Procedure support the Rule by outlining overarching principles, responsibilities and processes. The Academic Integrity Rule 2021 commences on 1 December 2021 and applies to courses commencing on or after that date, as well as to research conduct occurring on or after that date. Prior to this, the Academic Misconduct Rule 2015 applies.

 

The University commits to assisting all students to understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. All coursework students must complete the online Academic Integrity Module (Epigeum), and Higher Degree Research (HDR) students are required to complete research integrity training. The Academic Integrity website provides information about services available to assist students with their assignments, examinations and other learning activities, as well as understanding and upholding academic integrity.

Online Submission

You will be required to electronically sign a declaration as part of the submission of your assignment. Please keep a copy of the assignment for your records. Unless an exemption has been approved by the Associate Dean (Education) submission must be through Turnitin.

Hardcopy Submission

For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.

Late Submission

Late submission permitted. Late submission of assessment tasks without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the course outline for the return of the assessment item. Late submission is not accepted for take-home examinations.

Referencing Requirements

The Academic Skills website has information to assist you with your writing and assessments. The website includes information about Academic Integrity including referencing requirements for different disciplines. There is also information on Plagiarism and different ways to use source material.

Returning Assignments

Assessment consists of oral presentations and oral examinations.

These can be done over "zoom" or similar if required.


 

 

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. Extensions may be granted for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Resubmission of Assignments

Resubmission is not applicable.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information.
In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service – including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy.
If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes.

Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).

AsPr Andrew Kingston
0430 432 309
<p>Andrew.Kingston@anu.edu.au</p>

Research Interests


Computational imaging with x rays and neutrons

AsPr Andrew Kingston

Sunday
AsPr Andrew Kingston
Andrew.Kingston@anu.edu.au

Research Interests


AsPr Andrew Kingston

Sunday
Dr Glenn Myers
0430 432 309
Glenn.Myers@anu.edu.au

Research Interests


Computational imaging with x rays and neutrons

Dr Glenn Myers

Sunday
AsPr Nicolas Francois
0430 432 309
Nicolas.Francois@anu.edu.au

Research Interests


Computational imaging with x rays and neutrons

AsPr Nicolas Francois

Sunday
AsPr Tony Travouillon
0430 432 309
Tony.Travouillon@anu.edu.au

Research Interests


Computational imaging with x rays and neutrons

AsPr Tony Travouillon

Sunday

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