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CECS Professional Skills Mapping

ENGN4528 — Computer Vision

code: ENGN4528
name: Computer Vision
unit value: 6
description: This subject introduces students to understanding of the fundamental problems in computer vision, and their state-of-the-art solutions. Topics covered in detail include: camera geometry, image formation, image filtering, thresholding and image segmentation, edge, point and line detection, geometric frameworks for vision, single view and two views geometry; 3D modelling and reconstruction, camera calibration; stereo vision, motion and optical flow; object recognition, appearance based scene recognition; pose estimation in perspective images, etc. The course is featured by an extensive practical component including computer labs and term projects that provides the students with a tool box of skills in image processing and computer vision.
P&C: https://programsandcourses.anu.edu.au/course/ENGN4528
course learning outcomes:
  1. Understand and master basic knowledge, theories and methods in image procesing and computer vision.
  2. Identify, formulate and solve problems in image procecssing and computer vision.
  3. Analyse, evaluate and examine existing practical computer vision systems.
  4. Communicate effectively and work in teams to develop a working computer vision system.
  5. Critically review and assess scientific literature in the field and apply theoretical knowledge to identify the novelty and practicality of proposed methods.
  6. 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. Labs (30%)
  2. Project (20%)
  3. Exam/Quiz (50%)

Mapped learning outcomes

learning outcome1. KNOWLEDGE AND SKILL BASE2. ENGINEERING APPLICATION ABILITY3. PROFESSIONAL AND PERSONAL ATTRIBUTESassessment tasks
1.11.21.31.41.51.62.12.22.32.43.13.23.33.43.53.6123
  1. Understand and master basic knowledge, theories and methods in image procesing and computer vision.
✓✓✓✓✓✓✓✓
  1. Identify, formulate and solve problems in image procecssing and computer vision.
✓✓✓✓✓✓✓✓✓
  1. Analyse, evaluate and examine existing practical computer vision systems.
✓✓✓✓✓✓✓✓✓
  1. Communicate effectively and work in teams to develop a working computer vision system.
✓✓✓
  1. Critically review and assess scientific literature in the field and apply theoretical knowledge to identify the novelty and practicality of proposed methods.
✓✓✓✓✓✓✓✓✓
  1. 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