Course Code: ENG06
Term: October 2016
Start Date: Oct 3 2016
End Date: Nov 25 2016
Duration: 8 weeks
This course has ended
The aim of Robotic vision is to develop your skills and knowledge of the fundamental mathematics and algorithms that underpin computer vision, including how to interpret images to determine the size, shape and color of objects in the scene.
By the end of this course you should be able to:
If you do the optional project you should also be able to:
If you have studied Introduction to robotics (MOOC) and completed the optional project you should also be able to:
Use the time before lectures start to prepare for the course and become a part of the learning community by:
Ensure you have completed and submitted all assessment quizzes and assessment programming exercises. If you have undertaken the project you can self-assess your robotic vision system. If you have a robot arm you can do the extension activity.
It would be beneficial to have knowledge of basic programming either of MATLAB or of an object-oriented programming language. To help you MathWorks have provided MATLAB tutorials which are available in Getting started. You will also need to be familiar with some of the following areas of maths: vectors and spaces, matrices, and eigenvalues and eigenvectors. You can review these topics by visiting the Khan Academy using the links below.
Participants who successfully complete the assessable aspects of the course will be eligible to receive a Statement of attainment. The statement does not represent or confer credit points towards a QUT qualification. The overall assessment is worth a total of 240 points, comprised of 120 points for assessable quizzes and 120 points for MATLAB programming tasks. To qualify, you must achieve an overall score of 50% or above, which is 120 points or more. The quizzes and programming tasks are weighted equally, so it does not matter how you make up your 120 points.
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