Introduction to Smart City Autonomous Driving
Overview
In this program, students will have the opportunity to build their own automated vehicle (AV) in a Smart City stimulation environment. They will present solutions to future Smart City AV implications to demonstrate their critical thinking. Students will also nurture their problem-solving skills and growth mindset in a practical immersive learning environment which is essential for their personal development and future success. FlipRobot Introduction to Smart City Autonomous Driving course is offered to students to learn at home through online live delivery with our certified coaches.
FREE DELIVERY
Certificate on Completion
Own the robotic hardware kit and software for continuous learning
Background on Smart Cities and Autonomous Driving
A smart city is a city that is better able to cope with the demands of an increasingly over-populated, more globalized world. A smart city is highly data-driven which demands world leaders to understand technology such as the Internet of Things (IoT), Artificial Intelligence, and the myriad of digital technologies now available.
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This course is an introduction to automated vehicle technology in Smart City setting where students propose design solutions to address possible implications.
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Students will use our FlipCode program to refine their technological hardware skills in navigating their vehicle to do basic movements through a predetermined route through a Smart City.
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Students will guide their AV to follow between colour lines through a variable control boarding using FlipCode.
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Through computational thinking, students will combine ultrasonic and IR sensors with manual program into one for the vehicle to successfully steer around obstacles.
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Students will complete two challenges focusing on their technical and communication skills in an entrepreneurial environment designed to ignite their critical thinking.
Course Outline
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Construct a conceptual solution automated vehicle design for future smart city
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Design basic algorithm logic flow
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Assemble and adjust the vehicle through mechanical engineering of different robotic hardware features
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Apply computational and design thinking into practice
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Critically evaluate the current Smart City Autonomous Driving technology to propose viable design solution to Smart City traffic related problem
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Acquire knowledge to program and calibrate motors to control vehicle mobility
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Master their skills using FlipCode to program the automated vehicle to sensor routes and avoid hitting obstacles
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Embody the growth mindset principle and practice
Learning Outcomes
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Year-group suitability: Years 5 to 8
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Duration: 16 hours course
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Prerequisite requirements: None
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Class format: Live online teaching via Zoom. Robotic assembly and coding by students at home. Interaction between teacher and students live online
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System requirements:
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Windows 10 version 1809 and above (64 bits)
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If using ChromeOS, users will require to install the FlipRobot Chrome extension
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Supports macOS but not iOS
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An Internet connection and an internet browser
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Zoom video conference application
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A computer with a camera, mic, speaker (or headphones)
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We will require a physical delivery address to send the FlipRobot hardware kit.
Course Details
Sept-Oct School Holidays
FRAAU0000032
Introduction to Smart City Autonomous Driving
Monday to Thursday
From: 28 Sep 2020
To: 1 Oct 2020
From: 9:00 AM
To: 1:00 PM
Class no longer available
From: 28 Sep 2020
To: 1 Oct 2020
From: 2:00 PM
To: 6:00 PM
Sept-Oct School Holidays
FRAAU0000033
Introduction to Smart City Autonomous Driving
Monday to Thursday
Class no longer available
Sept-Oct School Holidays
FRAAU0000038
Introduction to Smart City Autonomous Driving
Monday to Thursday
From: 5 Oct 2020
To: 8 Oct 2020
From: 9:00 AM
To: 1:00 PM
Sept-Oct School Holidays
FRAAU0000039
Introduction to Smart City Autonomous Driving
Monday to Thursday
From: 5 Oct 2020
To: 8 Oct 2020
From: 2:00 PM
To: 6:00 PM
Term 4, 2020
FRAAU0000044
Introduction to Smart City Autonomous Driving
Wednesdays
From: 14 Oct 2020
To: 2 Dec 2020
From: 4:00 PM
To: 6:00 PM
Classes
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