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SIT789 - Applications of Computer Vision and Speech Processing

Year:

2020 unit information

Important Update:

Classes and seminars in Trimester 2/Semester 2, 2020 will be online. Physical distancing for coronavirus (COVID-19) will affect delivery of other learning experiences in this unit. Please check your unit sites for announcements and updates one week prior to the start of your trimester or semester.

Last updated: 2 June 2020

Enrolment modes:Trimester 2: Waurn Ponds (Geelong), Cloud (online)
Credit point(s):1
EFTSL value:0.125
Unit Chair:Trimester 2: Duc Thanh Nguyen
Prerequisite:

SIT771 and SIT787

For students enrolled in S737: SIT787

Corequisite:

SIT720

Incompatible with:

Nil

Typical study commitment:

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

Scheduled learning activities - campus:

1 x 2 hour class per week, 1 x 2 hour seminar/workshop per week

Scheduled learning activities - cloud:

1 x 1 hour scheduled online workshop per week

Content

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.

 

These are the Learning Outcomes (ULO) for this Unit
At the completion of this Unit
successful students can:

Deakin Graduate Learning Outcomes

ULO1

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 capabilities
GLO3: Digital literacy
GLO5: 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 capabilities
GLO4: Critical thinking

ULO3

Apply tools and frameworks to design, implement
and evaluate computer vision and speech processing solutions

GLO1: Discipline-specific knowledge and capabilities
GLO3: Digital literacy

ULO4

Work effectively as a member of a teams to develop working computer vision and speech processing systems

GLO7: Teamwork

These Unit Learning Outcomes are applicable for all teaching periods throughout the year

Assessment

Assessment Description Student output Grading and weighting
(% total mark for unit)
Indicative due week
Learning Portfolio Written and visual documentation, including program code , reports, concept maps 100% Week 12

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.

Hurdle requirement

To be eligible to obtain a pass in this unit, students must meet certain milestones as part of the portfolio.

Learning Resource

There is no prescribed text. Unit materials are provided via the unit site. This includes unit topic readings and references to further information.

Unit Fee Information

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