COMP SCI 7315 - Computer Vision
| Career: | Postgraduate Coursework |
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| Units: | 3 |
| Term: | Trimester 2 |
| Campus: | North Terrace |
| Contact: | Up to 2 hours per week |
| Restriction: | 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 |
| Available for Study Abroad and Exchange: | No |
| Available for Non-Award Study: | No |
| Pre-Requisite: | COMP SCI 7202 or (COMP SCI 7210 and COMP SCI 7211) |
| Assessment: | Assignments and group project |
| Syllabus: |
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. |
Course Fees
Study Abroad student tuition fees are available here
Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.
The fees displayed below for international students are for students commencing a program in 2024 only. International students who commenced a program in 2023 or prior can find their fee here.
| EFTSL | |||
|---|---|---|---|
| 0.125 | |||
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Course Outline
A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here
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Critical Dates
| Term | Last Day to Add Online | Census Date | Last Day to WNF | Last Day to WF |
|---|---|---|---|---|
| Trimester 2 | Mon 03/06/2024 | Thu 06/06/2024 | Fri 19/07/2024 | Wed 14/08/2024 |
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Class Details
| Enrolment Class: Workshop | |||||||
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| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 33061 | WR01 | 54 | 19 | 27 May - 27 May | Monday | 2pm - 3pm | Engineering & Mathematics, EM105, Teaching Room |
| 17 Jun - 17 Jun | Monday | 2pm - 3pm | Engineering & Mathematics, EM105, Teaching Room | ||||
| 8 Jul - 8 Jul | Monday | 2pm - 3pm | Engineering & Mathematics, EM105, Teaching Room | ||||
| 29 Jul - 29 Jul | Monday | 2pm - 3pm | Engineering & Mathematics, EM105, Teaching Room | ||||
| 33250 | WR02 | 54 | 18 | 30 May - 30 May | Thursday | 12pm - 1pm | Engineering & Mathematics, EM105, Teaching Room |
| 20 Jun - 20 Jun | Thursday | 12pm - 1pm | Engineering & Mathematics, EM105, Teaching Room | ||||
| 11 Jul - 11 Jul | Thursday | 12pm - 1pm | Engineering & Mathematics, EM105, Teaching Room | ||||
| 1 Aug - 1 Aug | Thursday | 12pm - 1pm | Engineering & Mathematics, EM105, Teaching Room | ||||
| Related Class: Lecture | |||||||
| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 33062 | LE01 | 108 | 37 | 21 May - 13 Aug | Tuesday | 1pm - 3pm | Badger, G31, Macbeth Lecture Theatre | Note: For an enriching and interactive learning experience, it is highly recommended to attend the lecture in person. While the lecture will be recorded, it is primarily intended for review purposes and for individuals who cannot attend due to special circumstances. Please check MyUni for details once enrolled. |
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