for 10 classes
包含什麼
10 現場會議
12 小時 30 分鐘 上課時間項目
每週 2-4 小時. Projects are not mandatory but we strongly encourage students to complete them.評估
包括我們無法翻譯此文,請刷新頁面並再試一次。
課堂經歷
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.
學習目標
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
教學大綱
10 課程
超過 2 週課 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 分鐘線上直播課
課 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 分鐘線上直播課
課 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 分鐘線上直播課
課 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 分鐘線上直播課
其他詳情
父母的引導和規範
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
供應清單
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
外部資源
除了 Outschool 教室外,本課程也使用:
來源
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
提供自
教師專業知識和證書
**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/5j5crx59
評論
AI Code Academy 建議接下來的課程...
使用 Raspberry Pi 和智慧機器人汽車進行 Python 機器學習(3 級)
AI Code Academy
4.7
(1,767)
每班
團體課
10 週, 1/週, 1 小時
11-15
AI Code Academy的其他課程
AI Code Academy的其他課程
其他家長也喜歡
關於中級 3 級 Python 編碼的所有內容 | Python編碼編碼類
David Sofield
4.9
(815)
每班
下次會議在 10:30 PM Sun 3/9
團體課
10 週, 1/週, 1 小時
11-16
關於 Python 編碼 1 級的一切 |青少年即時 Python 程式設計課程
David Sofield
4.9
(815)
每班
下一堂課明天 9 PM
團體課
8 週, 1/週, 1 小時
11-16
Python 編碼 4 兒童(簡介)
Dr. Elliott Heflin, Jr.
4.6
(405)
每班
下次會議在 3 PM Monday
團體課
2 週, 5/週, 55 分鐘
8-13
1:1 私人輔導 Python 編碼 - Python 程式設計簡介
Ziad Ghazi
4.5
(8)
每堂課
一對一課程
依需求開班
7-18
進階 Python 編碼 4 兒童
Dr. Elliott Heflin, Jr.
4.6
(405)
每班
下次會議在 2 PM Monday
團體課
2 週, 5/週, 55 分鐘
10-15
一對一 - Python 編碼課程
Geetu sodhi
5.0
(18)
每堂課
一對一課程
依需求開班
9-14
Python 程式設計遊戲 4 兒童(簡介)
Dr. Elliott Heflin, Jr.
4.6
(405)
每班
下次會議在 7 PM Monday
團體課
2 週, 5/週, 55 分鐘
8-13
初學者 1 對 1 Python 編碼教練(輔導)
Bojan Milinic
5.0
(7)
每堂課
一對一課程
依需求開班
8-18
適合初學者的 Python 編碼:學習程式設計基礎知識
Create n Learn: English, Coding, AI, Music, Math
4.9
(203)
每班
團體課
8 週, 1/週, 55 分鐘
11-14
以專案為基礎的兒童 Python 編碼(2 級)
AI Code Academy
4.7
(1,767)
每班
下次會議在 4 PM Saturday
團體課
10 週, 1/週, 1 小時
10-15
關於 Python 程式設計 2 級的一切 |基於專案的Python編碼課程
David Sofield
4.9
(815)
每班
下次會議在 9:15 PM Sun 3/23
團體課
10 週, 1/週, 1 小時
11-16
基於 Python 3 級專案 |生動有趣的 Python 編碼
QuattronKids
4.9
(182)
每班
下次會議在 12:30 AM Wednesday
團體課
10 週, 1/週, 1 小時
9-13
高中以專案為基礎的 Python 編碼(3 級)
AI Code Academy
4.7
(1,767)
每班
下次會議在 4 PM Saturday
團體課
10 週, 1/週, 1 小時
14-18
為初學者解鎖 Python 編碼 I - 為期兩週的電腦駭客兒童訓練營
Coding Doctors Learning Lab, Inc.
4.8
(1,241)
每班
下次會議在 6 PM Monday
團體課
2 週, 5/週, 55 分鐘
10-15
以專案為基礎的兒童 Python 編碼(級別 1)
AI Code Academy
4.7
(1,767)
每班
下次會議在 4 PM Saturday
團體課
10 週, 1/週, 1 小時
10-14
基於 Python 的初學者 2 級 |即時有趣的 Python 編碼
QuattronKids
4.9
(182)
每班
下次會議在 8 PM Sat 3/1
團體課
10 週, 1/週, 1 小時
9-13