Required texts

Required:

Richard Szeliski, "Computer Vision: Algorithms and Applications", 2nd ed., Springer, 2022, ISBN 978-3030343712

This book is available for purchase, for example, through The School Locker. This textbook is also available as an e-book. A limited number of copies of this book is also available from the º¬Ðß²ÝÊÓƵ Library.

Recommended for advanced students:

E R Davies & Matthew Turk, "Advanced Methods and Deep Learning in Computer Vision", Academic Press, ISBN: 978-0128221099

A limited number of copies of this book is also available from the º¬Ðß²ÝÊÓƵ Library.

Submission of assessment items

Extensions & Late submissions

Assessments are meant to be individual work, unless explicitly stated otherwise, although talking a problem over with another student or tutor is considered one reasonable way of learning. However, the actual submitted assessment must be the student's own work. Students are expected to familiarise themselves with the University's Student Charter /Policies/PolicyProcedure/Index/200. Experience has shown that students who do not do their own work are unlikely to successfully complete the unit.

Assessment submissions will be electronic through the Unit Website interface on º¬Ðß²ÝÊÓƵ Learn. For the Computer Vision Concepts Implementation assessment, students need to submit their programming code and any additional files, such as images etc. if required, to º¬Ðß²ÝÊÓƵ Learn. For the Student Colloquium Research Paper Presentation assessment, students need to submit all documents (presentation file(s) and research paper) that form part of their presentation to º¬Ðß²ÝÊÓƵ Learn.

Assessent submissions will be assessed for addressing the specific requirements of each assessment task, as stated in the assessment task descriptions, as well as for employing good software engineering principles. Assessment submissions will receive a numerical mark, which together in their entirety with the other assessment items define a student's final grade as outlined in this section.

Responsibility for understanding

If there is any doubt with regard to the requirements of any particular assignments or assessment procedure, the onus for clarifying the issue rests with the student who should contact the unit convenor or tutor. Further, it is the responsibility of students to ensure that they are correctly enrolled in the unit and that the tutor and Student Administration have their correct contact details.

Special assessment requirements

In CVIA PG, students are required to satisfactorily complete the Computer Vision Concepts Implementation and Student Colloquium Research Paper Presentation assessments (i.e. minimum 25% of available marks in each). The Computer Vision Concepts Implementation assessment has a weighting of 35% and the Student Colloquium Research Paper Presentation assessment has a weighting of 25%. In addition, there will be three online tests in Week 4 (10%), Week 8 (20%), and Week 13 (10%).

To obtain a particular grade in this unit it is necessary that there are no outstanding submissions at the end of week 15. The unit convenor reserves the right to question students on any of their submitted work for moderation and academic integrity purposes, which may result in an adjustment to the marks awarded for a specific task.

All assessment items will receive a numerical mark. The final grade will be determined as a weighted average of the individual assessment items.

To be awarded a particular grade in CVIA PG, students must meet the overall requirements and any specific assessment requirements set out below. All grades are conditional upon the following minimum requirements:

• Minimum 25% of available marks in the Computer Vision Concepts Implementation,
• Minimum 25% of available marks in the Student Colloquium Research Paper Presentation, and
• Participate in at least 75% of all computer laboratory classes as further outlined under "participation requirements".

Supplementary assessment

There will be no deferred assessments except for documented extenuating circumstances as per the university's Assessment Procedures.

Students must apply academic integrity in their learning and research activities at º¬Ðß²ÝÊÓƵ. This includes submitting authentic and original work for assessments and properly acknowledging any sources used.

Academic integrity involves the ethical, honest and responsible use, creation and sharing of information. It is critical to the quality of higher education. Our academic integrity values are honesty, trust, fairness, respect, responsibility and courage.

º¬Ðß²ÝÊÓƵ students have to complete the annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).

º¬Ðß²ÝÊÓƵ uses various strategies and systems, including detection software, to identify potential breaches of academic integrity. Suspected breaches may be investigated, and action can be taken when misconduct is found to have occurred.

Information is provided in the Academic Integrity Policy, Academic Integrity Procedure, and º¬Ðß²ÝÊÓƵ (Student Conduct) Rules 2023. For further advice, visit Study Skills.

Learner engagement

Expected Average Student Workload:    * denotes an assessable item

Total                                                                                                   150 hours

Participation requirements

Participation in computer laboratory classes is a compulsory condition of this unit, and attendance will be recorded. You must participate in at least 75% of computer laboratory classes to pass this unit (e.g. at least 9 out of 12 classes). In the event that you cannot attend your assigned computer laboratory class due to illness or unavoidable work commitments, contact the Unit Convener as soon as possible to negotiate an alternate lab class later in the week (if available).

Experience has shown that students who do not attend the classes and do not engage with the online content will have difficulty in satisfactorily passing the unit.

Required IT skills

• Fundamental programming concepts (i.e. this unit is not suitable for students who have no or only very limited prior programming experience)
• Usage of Windows or Mac computers

In-unit costs

Text book, 2x USB thumb drives

Work placement, internships or practicums

Not applicable to this unit

Additional information

In all cases of absence, sickness or personal problems, it is the student's responsibility to ensure that the unit convenor is informed. The minimum participation requirement must be met in order to pass the unit (regardless of supporting documentation).

It is important that students refer to the unit website (through º¬Ðß²ÝÊÓƵLearn – º¬Ðß²ÝÊÓƵ's online learning environment) on a regular basis for any variations in the schedule and deadlines for the assessment tasks, which will be announced on the Unit Website. It is also the student's responsibility to ensure that they regularly check their º¬Ðß²ÝÊÓƵ email account, as electronic messages (whether via the unit's º¬Ðß²ÝÊÓƵLearn site or directly) will be sent to this account.

The online discussion forum on the unit's º¬Ðß²ÝÊÓƵLearn site is a very useful place for posting questions and students are strongly encouraged to make use of it.

• Semester 1, 2024, On-campus, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (218327)
• Semester 1, 2023, On-campus, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (212721)
• Semester 1, 2022, On-campus, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (205666)
• Semester 1, 2021, On-campus, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (200272)
• Semester 1, 2020, On-campus, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (193403)
• Semester 1, 2019, On-campus, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (185102)
• Semester 1, 2018, On-campus, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (182286)