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Unit of study_

ELEC5308: Intelligent Information Engineering Practice

This unit aims at the practising ability of students on utilizing intelligent information engineering techniques for solving practical problems in the latest applications of AI, e.g., Autopilot. Students will get programming skills for many tasks related to automatic driving, including lane detection, traffic sign detection, pedestrian detection, and path planning. Lane detection, traffic sign detection, pedestrian detection, and path planning are information processing techniques that will help students to learn how to use the Video Intelligence and Signal Understanding approaches for many practical problems. All students will be involved in designing mini-projects and a large project. The unit is project-oriented. Students will run their programs on simulated environment. The course will be taught through lectures mainly on how to accomplish the goal for the mini-project and the final project. A specific lab design will be provided to students for hands-on design. Communication skills will be tested through several project presentations. Some teaching will be provided by intelligent information engineers working in the industry.

Code ELEC5308
Academic unit Electrical and Information Engineering
Credit points 6
Prerequisites:
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None
Corequisites:
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None
Prohibitions:
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None
Assumed knowledge:
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Students must have a good understanding of Linear algebra and basic mathematics, Basic Programming skills in C, Python or Matlab

At the completion of this unit, you should be able to:

  • LO1. To learn basic intelligent information engineering techniques
  • LO2. To learn how to apply intelligent information engineering techniques to practical problems on a robot.
  • LO3. To apply programming skills for many tasks related to automatic driving and intelligent information processing.

Unit outlines

Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.