여름 캠프: Raspberry Pi 및 센서를 사용한 Python에서의 머신 러닝(2단계)
이 10개 수업 프로그램에서 학생들은 사물 인터넷(IoT) 개념과 Python 코딩 및 Raspberry Pi를 사용하여 다양한 센서를 제어하고 통신하는 방법을 배웁니다.
AI Code Academy
평균 평점:
4.7
수강 후기 수:(1,763)
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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
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수업 소개
In this 10-lesson program, students will learn the concept of Internet of Things (IoT) and how to control and communicate with various sensors using Python coding and Raspberry Pi. Through hands-on projects, students will explore how to connect and program sensors, read data, and make the Raspberry Pi interact with the physical world. For a week to week program, check out the syllabus.
학습 목표
Students will learn the concept of Internet of Things (IoT) and how to control and communicate with various sensors using Python coding and Raspberry Pi
강의 계획서
10 레슨
2 주 이상레슨1:
LCD Screen
Designed to provide students with an introduction to I2C communication, as well as experience in displaying information on an LCD Screen.
Task: LCD Screen Implementation
Assist students with I2C setup, circuit creation, and development of code which will allow the screen to display the current time and CPU temperature. 75 분 온라인 라이브 레슨
레슨2:
AD/DA
Designed to provide students with a more in-depth view of various circuit components and I2C communication in conjunction with the concepts of potentiometers, Analog-to-Digital conversion, and Digital-to-Analog conversion.
Task: Demonstrate AD/DA
Assist students in the creation of the project circuit and development of code which will
represent the AD/DA conversion process 75 분 온라인 라이브 레슨
레슨3:
RGB LED
Instruct students on the concepts of the RGB lighting system as well as the circuit components used to generate various combinations of RGB lighting.
Task: RGB LED Implementation
Walk students through the programming and circuit configuration necessary in order to set up an RGB LED 75 분 온라인 라이브 레슨
레슨4:
Thermistor
Walk students through the concept of heat-associated resistance and how it can be implemented on the Pi/Circuit.
Task: Thermistor Setup
Walk students through the programming and circuit configuration necessary in order to set up a thermistor within a circuit. 75 분 온라인 라이브 레슨
그 외 세부 사항
학부모 가이드
To join this course, students must have learned how to build physical models using Raspberry Pi and Python, or participated in our Machine Learning in Python with Raspberry Pi and Sensors. We presume you already had Raspberry Pi and Sensors and your Pi has been connected to your computer
수업 자료
Prerequisites: Python experience (15 hours at least) and Raspberry Pi experience (10 hours at least) required Materials needed: we presume you already had the following hardware. If any parts are spoiled please repurchase from Amazon: 1, CanaKit Raspberry Pi 3 Kit with 2.5A Power Supply ($60) https://www.amazon.com/CanaKit-Raspberry-Premium-Supply-Listed/dp/B01C6EQNNK/ref=sr_1_3?keywords=raspberry+pi+3&qid=1575431887&sr=8-3 2, 32GB microSDHC Class 10 microSD Memory Card ($9) https://www.amazon.com/Kingston-32GB-microSDHC-microSD-SDCS/dp/B079GTYCW4/ref=sr_1_3?dchild=1&keywords=32GB+microSDHC+Class+10+microSD+Memory+Card&qid=1589205799&s=electronics&sr=1-3 3, Freenove Ultimate Starter Kit for Raspberry Pi 4 B 3 B+ ($50) https://www.amazon.com/Freenove-Raspberry-Processing-Tutorials-Components/dp/B06W54L7B5/ref=sr_1_1?dchild=1&keywords=freenove+ultimate+starter+kit+for+raspberry+pi+4b+3+b%2B&qid=1589205731&s=electronics&sr=1-1 4, If your computer doesn't have a SDHC card port, you also need to purchase a Vanja Micro USB OTG Adapter https://www.amazon.com/Vanja-Adapter-Portable-Memory-Reader/dp/B00W02VHM6/ref=sr_1_6?crid=27W57S4IKFGO9&dchild=1&keywords=sd+card+to+pc+adapter&qid=1591152969&sprefix=sd+card+to+pc%2Caps%2C149&sr=8-6
Outschool 외 필요 앱/웹사이트
이 수업에서는 아웃스쿨 교실 외에도 다음의 툴을 사용합니다:
출처
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 Chromebook!!!
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
가입일: April, 2020
4.7
1763수강 후기
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교사 전문성 및 자격증
**USE PROMO CODE: CODEAINEWYEAR2025 FOR $25 OFF ANY 10 WEEK COURSE - Valid until Feb 15**
~We offer early registration, sibling discounts, and multi-course bundles. ~
~Check out our complete Outschool offering here: https://shorturl.at/bcBGP ~
~Get to know our coaches here: https://tinyurl.com/5j5crx59 ~
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.
Get to know our coaches here: https://tinyurl.com/5j5crx59리뷰
실시간 그룹 수업
10 회 수업에
US$289
2주 동안 주당 5회
75분
실시간 화상 수업
연령: 11-15
수업당 학습자 3-8 명
