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2022 unit information
Unit delivery will be in line with the most current COVIDSafe health guidelines. We continue to tailor learning experiences for each unit to achieve the best possible mix of online and on-campus activities that successfully blend our approaches to learning, working and research. Please check your unit sites for announcements and updates.
Last updated: 4 March 2022
SIT771 and SIT787.For students enrolled in S506, S507, S508, S535, S536, S538, S577, S677, S735, S737, S739, S770, S778, S779, S789: SIT787
SIT720
Nil
Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.
1 x 2 hour online class per week, 1 x 2 hour workshop per week.
Online independent and collaborative learning including optional scheduled activities as detailed in the unit site.
Computer Vision and Speech Processing are fields of Artificial Intelligence that look to extract information from images, videos, and audio to better help computers interact with the real world. In this unit you will explore the application of computer vision and speech processing algorithms to solve real world problems. You will draw upon current research and state of the art tools to propose and develop novel solutions involving computer vision and speech processing.
Draw upon current research and state-of-the-art computer vision and speech processing techniques to propose and develop novel solutions to real world problems.
GLO1: Discipline-specific knowledge and capabilitiesGLO3: Digital literacyGLO5: Problem solving
ULO2
Select and apply advanced machine learning techniques with voice, image and video data for the purpose of recognition, classification, and pattern matching.
GLO1: Discipline-specific knowledge and capabilitiesGLO4: Critical thinking
ULO3
Apply tools and frameworks to design, implement and evaluate computer vision and speech processing solutions.
GLO1: Discipline-specific knowledge and capabilitiesGLO3: Digital literacy
ULO4
Work effectively as a member of a team to develop working computer vision and speech processing systems.
GLO7: Teamwork
These Unit Learning Outcomes are applicable for all teaching periods throughout the year
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
To be eligible to obtain a pass in this unit, students must meet certain milestones as part of the portfolio.
The texts and reading list for the unit can be found on the University Library via the link below: SIT789 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.
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