Campamento de verano: Aprendizaje automático en Python con Raspberry Pi y sensores (nivel 2)
En este programa de 10 lecciones, los estudiantes aprenderán el concepto de Internet de las cosas (IoT) y cómo controlar y comunicarse con varios sensores utilizando codificación Python y Raspberry Pi.
AI Code Academy
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Qué está incluido
10 reuniones en vivo
12 horas 30 minutos horas presencialesProyectos
2-4 horas por semana. Projects are not mandatory but we strongly encourage students to complete them.Evaluación
incluidoExperiencia de clase
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.
Metas de aprendizaje
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
Programa de estudios
10 Lecciones
más de 2 semanasLección 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 minutos de lección en vivo en línea
Lección 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 minutos de lección en vivo en línea
Lección 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 minutos de lección en vivo en línea
Lección 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 minutos de lección en vivo en línea
Otros detalles
Orientación para padres
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
Lista de útiles escolares
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
Recursos externos
Además del aula de Outschool, esta clase utiliza:
Fuentes
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
Se unió el April, 2020
4.7
1764reseñas
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Experiencia y certificaciones del docente
**USE PROMO CODE: CODEAINEWYEAR2025 FOR $25 OFF ANY 10 WEEK COURSE - Valid until Feb 15**
~We offer early registration, sibling discounts, and multi-course bundles. ~
~Check out our complete Outschool offering here: https://shorturl.at/bcBGP ~
~Get to know our coaches here: https://tinyurl.com/5j5crx59 ~
At AI Code Academy, we specialize in project-based STEM coding, AI, and mathematics programs for young learners. We are one of the few organizations that offer AI and machine learning courses tailored for kids. Our comprehensive curriculum spans from basic computer skills and Scratch coding to more advanced Python, Java, web design, game development, and AI machine learning projects.
Our unique focus is on introducing students to AI early, helping them grasp complex concepts like machine learning, data analysis, and smart devices, while also reinforcing mathematics skills, essential for their success in STEM fields.
With a team of passionate instructors—college students and recent graduates with degrees in Engineering and Computer Science—we provide hands-on, real-world projects that prepare students for future careers in AI, coding, robotics, and mathematics.
Get to know our coaches here: https://tinyurl.com/5j5crx59Reseñas
Curso grupal en vivo
289 US$
por 10 clases5 x por semana, 2 semanas
75 min
Videoconferencias en vivo
Edades: 11-15
3-8 alumnos por clase
