COMP SCI 7315 - Computer Vision

North Terrace Campus - Trimester 2 - 2025

Computer vision enables computers and systems to see and understand digital images, videos and other visual inputs with cameras, data and algorithms. You will apply computer vision concepts to business, entertainment, transportation, healthcare, manufacturing and everyday life. In this course, you will learn about some of the fundamental problems in vision, and have opportunities to explore traditional and emerging approaches to solving real-world problems.

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Course Details

Course Code	COMP SCI 7315
Course	Computer Vision
Coordinating Unit	Computer Science
Term	Trimester 2
Level	Postgraduate Coursework
Location/s	North Terrace Campus
Units	3
Contact	Up to 2 hours per week
Available for Study Abroad and Exchange	N
Prerequisites	COMP SCI 7202 or (COMP SCI 7210 and COMP SCI 7211)
Incompatible	COMP SCI 3315, COMP SCI 7022
Restrictions	Students enrolled in the Grad Cert, Grad Diploma and Master of Cyber Security, Master of Data Science, Grad Cert, Grad Dip and Master of Artificial Intelligence and Machine Learning, Master Computing and Innovation, Grad Dip Computer Science
Assessment	Assignments and group project

Course Staff

Course Coordinator: Dr Zhibin Liao

Course Timetable

The full timetable of all activities for this course can be accessed from .

Course Learning Outcomes

On successful completion of this course, students will be able to:

1	Describe the scope of challenges and applications addressed by computer vision
2	Demonstrate and experiment with image filtering techniques
3	Make use of geometric camera models and multiple view geometry
4	Undertake video analysis problems such as tracking and structure from motion
5	Explain the application of neural networks to computer vision
6	Analyse cognitive tasks including image classification, recognition and detection
7	Conduct computer vision experiments and report results systematically

杏吧直播 Graduate Attributes

This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:

杏吧直播 Graduate Attribute	Course Learning Outcome(s)
Attribute 1: Deep discipline knowledge and intellectual breadth Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.	1-6
Attribute 2: Creative and critical thinking, and problem solving Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.	2-6
Attribute 3: Teamwork and communication skills Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.	7
Attribute 4: Professionalism and leadership readiness Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.	7

Learning & Teaching Modes

This course is delivered in a trimester format.

Workload

The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

This is a 3-unit course. In the semester or trimester format, you are expected to allocate the following study time to fully meet the Course Learning Outcomes (CLOs) for this course. Please note that students work at different paces, so this indicates the approximate time required to complete this course.

Learning Activity	Hours/Week	Duration	Total
Online learning activities	1 hour	12 weeks	12 hours
Face-to-face learning activities	2.5 hours	12 weeks	30 hours
Independent study	4 hours	12 weeks	48 hours
Assessment tasks	5 hours	12 weeks	60 hours
Expected total student workload			150 hours

Learning Activities Summary

You will be required to complete the online learning activities available on MyUni prior to regular face-to-face learning sessions. Throughout these autonomous tasks, you will have time to process new concepts and build foundational knowledge around them. In the face-to-face sessions, you will get a chance to apply that learning to build new skills and address real-world problems.

Learning activities, both online and face-to-face, are scaffolding to the learning builds throughout the course. Through this learning experience, you will be asked to draw on a range of lower-order and higher-order thinking skills.

The 杏吧直播's policy on Assessment for Coursework Programs is based on the following four principles:

Assessment must encourage and reinforce learning.
Assessment must enable robust and fair judgements about student performance.
Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
Assessment must maintain academic standards.

Assessment Summary

Assessment Task	Weighting (%)	Individual/ Group	Formative/ Summative	Week	Hurdle criteria	CBOK Alignment**
A1	20	Individual	Summative	2-4	No	1.1 1.2 2.2 2.4 2.6 3.1 3.2 4.1 4.3 4.4
A2	25	Individual	Summative	4-7	Min 40%	1.1 1.2 2.2 2.4 2.6 3.1 3.2 4.1 4.3 4.4
A3	25	Individual	Summative	7-11	Min 40%	1.1 1.2 2.2 2.4 2.6 3.1 3.2 4.1 4.3 4.4
Practical Competition	30	Group	Summative	9-14	No	1 2 3 4.1 4.3 5.1 5.2
Total	100

* The specific due date for each assessment task will be available on MyUni.

This assessment breakdown complies with the 杏吧直播's Assessment for Coursework Programs Policy.

This course has a hurdle requirement. Meeting the specified hurdle criteria is a requirement for passing the course.

**CBOK is the Core Body of Knowledge for ICT Professionals defined by the 杏吧直播n Computer Society. The alignment in the table above corresponds with the following CBOK Areas:

1. Problem Solving

1.1 Abstraction

1.2 Design

2. Professional Knowledge

2.1 Ethics

2.2 Professional expectations

2.3 Teamwork concepts & issues

2.4 Interpersonal communications

2.5 Societal issues

2.6 Understanding of ICT profession

3. Technology resources

3.1 Hardware & Software

3.2 Data & information

3.3 Networking

4. Technology Building

4.1 Programming

4.2 Human factors

4.3 Systems development

4.4 Systems acquisition

5. ICT Management

5.1 IT governance & organisational

5.2 IT project management

5.3 Service management

5.4 Security management

Assessment Detail

No information currently available.

Submission

Unless otherwise specified, submit all of your assessments to the Assignments space in the MyUni course site for this course. For written assessments, your submissions will go through Turnitin to check for originality. Make sure your submissions adhere to the 杏吧直播 of Adelaide Academic Integrity policies.

Course Grading

Grades for your performance in this course will be awarded in accordance with the following scheme:

M10 (Coursework Mark Scheme)
Grade	Mark	Description
FNS		Fail No Submission
F	1-49	Fail
P	50-64	Pass
C	65-74	Credit
D	75-84	Distinction
HD	85-100	High Distinction
CN		Continuing
NFE		No Formal Examination
RP		Result Pending

Further details of the grades/results can be obtained from Examinations.

Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

Final results for this course will be made available through .

Student Feedback

The 杏吧直播 places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.

SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the 杏吧直播 to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
Student Support
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
Fraud Awareness

Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student鈥檚 disciplinary procedures.

The 杏吧直播 of Adelaide is committed to regular reviews of the courses and programs it offers to students. The 杏吧直播 of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.

Authorised by:	Deputy Vice-Chancellor and Vice-President (Academic)
Maintained by:	Course Outlines Administrator

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