for 10 classes
Aprendizaje automático en Python con Raspberry Pi y sensores (nivel 2)
Completado por 19 alumnos
Edades 11-15
Clase grupal
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 presencialesExperiencia 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
Ofrecido por
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/5j5crx59
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