menu

CECS Professional Skills Mapping

ENGN6528 — Computer Vision

code: ENGN6528
name: Computer Vision
unit value: 6
description: Computer Vision is an important field of Artificial Intelligence concerned with questions such as "how to extract information from image or video, and how to build a machine to see". Recent explosive growth of digital imaging technology, advanced computing, and deep learning makes the problems of automated image interpretation even more exciting and much more relevant than ever.

This course introduces students to fundamental problems in image processing and computer vision, as well as their state-of-the-art solutions. Topics covered in detail include: image formation, image filtering, camera geometry, thresholding and image segmentation, edge, point and feature detection, geometric frameworks for vision, single view and two views geometry; 3D visual reconstruction, camera calibration; stereo vision, image classification and object recognition, deep learning and neural networks for computer vision etc. The course features extensive practical components including computer labs and Term Research projects that provide students with the opportunity to practice and refine their skills in image processing and computer vision.
P&C: https://programsandcourses.anu.edu.au/course/ENGN6528
course learning outcomes:
  1. Proficiently apply specialised knowledge, methods and skills in image procesing and computer vision applications, research and development.
  2. Identify, formulate and innnovatively solve problems in image procecssing and computer vision.
  3. Critically analyse, evaluate and examine existing practical computer vision systems.
  4. Communicate effectively to both specialist and non-specialist audiences, to integrate and synthesize complex visual information processing systems.
  5. Critically review and assess scientific literature in the field and and apply theoretical knowledge to identify the novelty and practicality of proposed methods.
  6. Apply research methods and advanced knowledge to design and develop practical and innovative image processing and computer vision applications or systems.
  7. Conduct themselves professionally and responsibly in the areas of computer vision, image processing and deep learning.
assessment:
  1. Computer Labs (30%)
  2. Exams/Quiz (20%)
  3. Research Project (30%)
  4. Seminar and Report (20%)

Mapped learning outcomes

learning outcome1. KNOWLEDGE AND SKILL BASE2. ENGINEERING APPLICATION ABILITY3. PROFESSIONAL AND PERSONAL ATTRIBUTESassessment tasks
1.11.21.31.41.51.62.12.22.32.43.13.23.33.43.53.61234
  1. Proficiently apply specialised knowledge, methods and skills in image procesing and computer vision applications, research and development.
✓✓✓✓✓✓✓✓✓✓✓
  1. Identify, formulate and innnovatively solve problems in image procecssing and computer vision.
✓✓✓✓✓
  1. Critically analyse, evaluate and examine existing practical computer vision systems.
✓✓✓✓
  1. Communicate effectively to both specialist and non-specialist audiences, to integrate and synthesize complex visual information processing systems.
✓✓✓✓✓✓
  1. Critically review and assess scientific literature in the field and and apply theoretical knowledge to identify the novelty and practicality of proposed methods.
✓✓✓✓✓✓✓
  1. Apply research methods and advanced knowledge to design and develop practical and innovative image processing and computer vision applications or systems.
✓✓
  1. Conduct themselves professionally and responsibly in the areas of computer vision, image processing and deep learning.
✓✓✓

Course contribution towards the Engineers Australia Stage 1 Competency Standard

This table depicts the relative contribution of this course towards the Engineers Australia Stage 1 Competency Standard. Note that this illustration is indicative only, and may not take into account any recent changes to the course. You are advised to review the official course page on P&C for current information..

1. KNOWLEDGE AND SKILL BASE
1.1
 
1.2
 
1.3
 
1.4
 
1.5
 
1.6
 
2. ENGINEERING APPLICATION ABILITY
2.1
 
2.2
 
2.3
 
2.4
 
3. PROFESSIONAL AND PERSONAL ATTRIBUTES
3.1
 
3.2
 
3.3
 
3.4
 
3.5
 
3.6
 

Engineers Australia Stage 1 Competency Standard — summary

1. KNOWLEDGE AND SKILL BASE
✓1.1Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.
✓1.2Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.
✓1.3In depth understanding of specialist bodies of knowledge within the engineering discipline.
✓1.4Discernment of knowledge development and research directions within the engineering discipline.
✓1.5Knowledge of contextual factors impacting the engineering discipline.
✓1.6Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the engineering discipline.
2. ENGINEERING APPLICATION ABILITY
✓2.1Application of established engineering methods to complex engineering problem solving.
✓2.2Fluent application of engineering techniques, tools and resources.
✓2.3Application of systematic engineering synthesis and design processes.
✓2.4Application of systematic approaches to the conduct and management of engineering projects.
3. PROFESSIONAL AND PERSONAL ATTRIBUTES
✓3.1Ethical conduct and professional accountability.
✓3.2Effective oral and written communication in professional and lay domains.
✓3.3Creative, innovative and pro-active demeanour.
✓3.4Professional use and management of information.
✓3.5Orderly management of self, and professional conduct.
✓3.6Effective team membership and team leadership.

Updated:  18 February 2021/ Responsible Officer:  Dean, CECS/ Page Contact:  CECS Academic Education Services