Course Information
COMP3414 Experiential Learning on Artificial Intelligence and Robotics

COMP3414 Experiential Learning on Artificial Intelligence and Robotics

2019-20
Instructor(s):Wong Kenneth
Choi Loretta
Chui C K
(Class A) No. of credit(s):6
Recommended Learning Hours:
Pre-requisite(s):  
Co-requisite(s):  
Mutually exclusive with:  
Remarks:

Course Learning Outcomes

1. Apply their engineering knowledge to design and build intelligent robots for specific purposes
2. Communicate with peers with regard to technical concepts verbally (via meetings and presentations), in writing (via reports) and in action (via demonstrations)
3. Collaborate with peers from different disciplines/backgrounds and be a good team player
4. Overcome unforeseen problems, make informed decisions, and work under the constraints of limited time, human and financial resources
Mapping from Course Learning Outcomes to Programme Learning Outcomes
 PLO aPLO bPLO cPLO dPLO ePLO fPLO gPLO hPLO iPLO j
CLO 1TTTTTT
CLO 2T
CLO 3T
CLO 4TT

T - Teach, P - Practice
For BEng(CompSc) Programme Learning Outcomes, please refer to here.

Syllabus

Calendar Entry:
This is a multidisciplinary experiential learning course designed for engineering students to learn about artificial intelligence (AI) and robotics. Students will learn AI and robot related technical disciplines (such as machine vision, embedded system design, mechanical control, inertial navigation, human-computer interaction, etc.) through designing and building intelligent robots, and forming teams to participate in robotics competitions such as RoboMaster Robotics Competition and AI Driving Olympics (AI-DO), etc.

Detailed Description:

Design Mapped to CLOs
Understand the specifications / requirements of the robots, design the hardware and software for the robots.1, 2, 3, 4
Implementation Mapped to CLOs
Build the robot hardware and implement the software for controlling the robots.1, 2, 3, 4
Testing and Refinement Mapped to CLOs
Test the performance of the robots and refine the hardware and software to fine tune the performance.1, 2, 3, 4
Presentation and demonstration Mapped to CLOs
Present the project works and demonstrate the intelligent robots to a wide range of audiences.1, 2, 3, 4

Assessment:
Continuous Assessment: 100%

Teaching Plan

Please refer to the corresponding Moodle course.

Moodle Course(s)