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Aprendizaje automático en Python con Raspberry Pi y sensores (nivel 2)

Completado por 19 alumnos
Edades 11-15
Clase grupal
En este programa de 10 lecciones, los estudiantes aprenderán a controlar y comunicarse con varios sensores como AD DA y potenciómetro, termistor y joystick usando codificación Python y Raspberry Pi.
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Videoconferencias en vivo
5 x por semana, 2 semanas
5-12 alumnos por clase
90 min

Qué está incluido

10 reuniones en vivo
15 horas presenciales

Experiencia de clase

Hardware Coding with Python on Raspberry Pi and Sensors (Level II)

Lesson 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.

Lesson 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

Lesson 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

Lesson 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.

Lesson 5 –Joystick and Snake
Provide students with an understanding of joystick control and how it can be implemented in code. Perform the circuit setup and code development necessary to monitor joystick positioning. 
Task: Snake Game
Provide students with an introduction to more advanced applications of circuit components, through the use of the previous joystick circuit and the Pygame library.  Walk students through the code required to make a fully functional game of Snake, which can be controlled by a joystick.

Lesson 6 – Attitude Sensor
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.

Lesson 7 – Bar Graph LED
Introduce students to the concept of integrated circuits, serial-to-parallel data communication, and different types of LED components.
	Task: Bar Graph LED Setup
	Walk students through the programming and circuit configuration necessary in order to 	set up 8 LEDs lighting in sequence.

Lesson 8 – 7-Segment Display
Provide students with an understanding of how to use integrated circuits to light up multiple patterns of LEDs, forming letters and numbers.
	Task: 7-Segment Display Setup
	Assist students in developing the circuit and code required to make use of a 7-segment display.

Lesson 9 – Matrix Keypad
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

Class 10 - Final Project
The students will create their own program applying what they have learned throughout the class. Upon completion, the projects are demonstrated by their creators.




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 

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

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. You should already have had had Raspberry Pi and Sensors and your Pi has been connected to your computer or a separated monitor/keyboard/mouse
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
Los estudiantes no necesitarán utilizar ninguna aplicación o sitio web más allá de las herramientas estándar de Outschool.
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

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Se unió el April, 2020
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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.

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