여름 캠프: Raspberry Pi와 스마트 로봇 자동차 L3를 사용한 Python 머신 러닝
이 10개 수업 프로그램에서 학생들은 Python 코딩과 Raspberry Pi 및 스마트카를 사용하여 다양한 센서를 제어하고 통신하는 방법을 배웁니다.
AI Code Academy
평균 평점:
4.7
수강 후기 수:(1,750)
인기 수업
무엇이 포함되어 있나요?
10개의 라이브 미팅
수업 12 시간 30 분 시간프로젝트
주당 2-4시간. Projects are not mandatory but we strongly encourage students to complete them.학습 평가
포함됨보고계신 지문은 자동 번역 되었습니다
수업 소개
In this advanced 10-lesson course, students will delve into the exciting world of machine learning and robotics using Python and Raspberry Pi. They will start by learning about integrated circuits and advanced circuit designs through hands-on projects. For example, in the first week, students will implement an LED matrix to cycle through images, numbers, and letters. In subsequent weeks, they will work on creating a 4-digit counter using a 7-segment display, understanding and implementing attitude sensors with DC motors, and setting up matrix keypads for stepper motors. Each lesson is designed to build on the previous one, providing students with a comprehensive understanding of machine learning applications and robotic control systems. By the end of the course, students will have the skills to create their own smart robotic car, integrating various sensors and components to perform complex tasks. For a week to week program, check out the syllabus.
학습 목표
Students will learn how to control and communicate with various sensors using Python coding and Raspberry Pi and smart car
강의 계획서
10 레슨
2 주 이상레슨1:
LED Matrix
Provide students with an advanced example of integrated circuit usage, as well as exposure to more complex circuit designs.
Task: LED Matrix Implementation
Aid students in creating the project circuit and code to cycle through an image, numbers, and letters on an LED matrix. 75 분 온라인 라이브 레슨
레슨2:
4 x 7-Segment Display
Designed to provide students with more exposure to integrated circuits, along with a brief introduction to transistors.
Task: 4-Digit Counter
Assist students in the creation of the project circuit and development of code to make an upward-counting display. 75 분 온라인 라이브 레슨
레슨3:
DC Motor
Provide students with an understanding of the attitude sensor component and its association with the Pi. Also, discuss new circuit component architectures.
Task: Attitude Sensor Setup
Instruct students to create the circuit and generate code in order to create a functional attitude sensor 75 분 온라인 라이브 레슨
레슨4:
Stepper Motor
Discuss the concept of inputs from circuit components, through the use of a keypad, into a Pi. Also discuss the anatomy of the keypad component.
Task: Matrix Keypad Setup
Perform the tasks necessary to create a functional keypad that works in coordination with the Pi 75 분 온라인 라이브 레슨
그 외 세부 사항
학부모 가이드
Dear Parents,
Thank you for your interest in our Machine Learning in Python With Raspberry Pi & Sensors & Robot Car (level 3). This class has a lot of fun hardware and coding projects, from which students have opportunities to learn some fundamental knowledge of both modern machine learning and Internet of Things (IoT). In this course students will learn additional sensors and have an opportunity to assemble and control a robot car using both rule-based and AI based models.
This class requires a lot of hands-on experience, and can be quite challenge to some young students. It also requires a lot of involvement from parents, in particular, to assemble the robot car before class.
Besides the hardware you got in the level 1 course, you would need to purchase AICode101 4WD Smart Car for Raspberry Pi ($99) from this link: https://www.illum.ai/products/aicode101-4wd-smart-car-kit-for-raspberri-pi.html.
and two 18650 batteries (or 4) and a battery Charger:
https://www.18650batterystore.com/collections/samsung-18650-batteries/products/samsung-20s
https://www.18650batterystore.com/products/nitecore-i2-charger?_pos=1&_sid=63a69d299&_ss=r
Once you get the smart car kit, please follow the instruction in YouTube to assemble your smart car before your classes. https://youtu.be/vKE2TnTQcG0
Look forward to working with you
All the best
AI Code Academy
수업 자료
Technical Requirements: PC (Windows 10) or Mac (macOS 10.13) with at least a 2GHz processor and 2GB of RAM (4GB of RAM is recommended). No iPads and no Chromebooks!!! Broadband internet with at least 1.8Mbps download and 900Kbps upload speeds. Please make sure to remove your firewall if any Webcam - Either external or built-in (many laptops have an integrated camera). Microphone and Speakers - We recommend headphones with an integrated microphone
Outschool 외 필요 앱/웹사이트
아웃스쿨 사이트의 기능 외 별도의 앱이나 웹 사이트를 사용할 필요가 없습니다.
출처
Prerequisites: Python experience (15 hours at least) and Raspberry Pi experience (10 hours at least) required
Materials needed: we presume you already had the Raspberry Pi. Please purchase the following smart car
1, AICode101 4WD Smart Car for Raspberry Pi ($99) https://www.illum.ai/products/aicode101-4wd-smart-car-kit-for-raspberri-pi.html
가입일: April, 2020
4.7
1750수강 후기
인기 수업
교사 전문성 및 자격증
**USE PROMO CODE: CODEAICODEOFF30 FOR $30 OFF ANY 10 WEEK COURSE - Valid until Dec, 27 **
~We offer early registration, sibling discounts, and multi-course bundles. ~
~Check out our complete Outschool offering here: https://shorturl.at/bcBGP ~
At AI Code Academy, we specialize in project-based STEM coding, AI, and mathematics programs for young learners. We are one of the few organizations that offer AI and machine learning courses tailored for kids. Our comprehensive curriculum spans from basic computer skills and Scratch coding to more advanced Python, Java, web design, game development, and AI machine learning projects.
Our unique focus is on introducing students to AI early, helping them grasp complex concepts like machine learning, data analysis, and smart devices, while also reinforcing mathematics skills, essential for their success in STEM fields.
With a team of passionate instructors—college students and recent graduates with degrees in Engineering and Computer Science—we provide hands-on, real-world projects that prepare students for future careers in AI, coding, robotics, and mathematics.리뷰
실시간 그룹 수업
10 회 수업에
US$279
2주 동안 주당 5회
75분
실시간 화상 수업
연령: 11-15
수업당 학습자 3-8 명
