含まれるもの
10 ライブミーティング
12 時間 30 分 授業時間プロジェクト
週あたり 2-4 時間. Projects are not mandatory but we strongly encourage students to complete them.テスト
含まれるこの文章は自動翻訳されています
このクラスで学べること
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.
学習到達目標
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
シラバス
10 レッスン
2 週間以上レッスン 1:
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 分のオンラインライブレッスン
レッスン 2:
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 分のオンラインライブレッスン
レッスン 3:
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 分のオンラインライブレッスン
レッスン 4:
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 分のオンラインライブレッスン
その他の情報
保護者へのお知らせ
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
受講に必要なもの
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
外部リソース
このクラスでは、Outschool内のクラスルームに加えて、以下を使用します。
教師の専門知識と資格
**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.
レビュー
ライブグループコース
$289
10 クラス分週に5回、 2 週間
75 分
オンラインライブ授業
年齢: 11-15
クラス人数: 3 人-8 人