Arduino Starter Kit Classroom Pack - SPANISH
This product has a lead time of 15 days
The ideal solution for a class to get started with Arduino and learning programming and electronics, it contains fun and engaging interactive projects.
Overview
The Arduino Starter Kit Classroom Pack is a bundled solution, containing six of the popular Arduino Starter Kits.
This Classroom 6-Pack is for a classroom of at least twelve students — the recommended ratio is two students per kit — and intended for use starting from middle school teachers onwards, looking for an extensive educational solution for learning how to use the Arduino platform.
Each kit contains an Arduino Uno Rev 3 board, a collection of sensors and actuators, and — most important — a guide book which will help students and teachers to take their first steps into the world of electronics, with interactive and sensing objects.
Each Arduino Starter Kit contains a full color 170-page book with instructions for fifteen projects:
01. GET TO KNOW YOUR TOOLS: An introduction to the basics.
02. SPACESHIP INTERFACE: Design a control panel for a starship.
03. LOVE-O-METER: Measure how hot-blooded you are.
04. COLOR MIXING LAMP: Produce any color with a lamp that uses light as an input.
05. MOOD CUE: Let people know how you're doing.
06. LIGHT THEREMIN: Create a musical instrument you play by waving your hands.
07. KEYBOARD INSTRUMENT: Play music with this keyboard.
08. DIGITAL HOURGLASS: A light-up hourglass that can stop you from working too much.
09. MOTORIZED PINWHEEL: A colored wheel that will make your head spin.
10. ZOETROPE: Create a mechanical animation you can play--and in reverse.
11. CRYSTAL BALL: A mystical tour to answer all your tough questions.
12. KNOCK LOCK: Unlock a door with a secret knock.
13. TOUCHY-FEELY LAMP: A lamp that responds to your touch.
14. TWEAK THE ARDUINO LOGO: Control your personal computer from your Arduino.
15. HACKING BUTTONS: Create a master control for all of your devices!
Tech specs
Each Starter Kit includes:
1 Projects Book (170 pages), 1 Arduino Uno, 1 USB cable, 1 Breadboard 400 points, 70Solid core jumper wires, 1 Easy-to-assemble wooden base, 1 9v battery snap, 1 Stranded jumper wires (black), 1 Stranded jumper wires (red), 6 Lightsensors, 3 Potentiometer 10kOhms, 10 Pushbuttons, 1 Temperature sensor [TMP36], 1 Tilt sensor, 1 alphanumeric LCD (16x2 characters), 1 LED (bright white), 1 LED (RGB), 8 LEDs (red), 8 LEDs (green), 8 LEDs (yellow), 3 LEDs (blue), 1 Small DC motor 6/9V, 1 Small servo motor, 1 Piezo capsule [PKM17EPP-4001-B0], 1 H-bridge motor driver [L293D], 2 Optocouplers [4N35], 2 Mosfet transistors [IRF520], 3 Capacitors 100uF, 7 Diodes [1N4007], 3 Transparent gels (red, green, blue), 1 Male pins strip (40x1), 22 Resistors 220 Ohms, 7 Resistors 560 Ohms, 7 Resistors 1 kOhms, 7 Resistors 4.7 kOhms, 22 Resistors 10 kOhms, 7 Resistors 1 MOhms, 7 Resistors 10 MOhms
Conformities
Resources for Safety and Products
Manufacturer Information
The production information includes the address and related details of the product manufacturer.
Arduino S.r.l.
Via Andrea Appiani, 25
Monza, MB, IT, 20900
https://www.arduino.cc/
Responsible Person in the EU
An EU-based economic operator who ensures the product's compliance with the required regulations.
Arduino S.r.l.
Via Andrea Appiani, 25
Monza, MB, IT, 20900
Phone: +39 0113157477
Email: support@arduino.cc
Get Inspired
Use an Arduino Nicla Sense ME to see if you need to freshen up after a workout
Having constant, reliable access to a working HVAC system is vital for our way of living, as they provide a steady supply of fresh, conditioned air. In an effort to decrease downtime and maintenance costs from failures, Yunior González and Danelis Guillan have developed a prototype device that aims to leverage edge machine learning to predict issues before they occur. The duo went with a Nicla Sense ME due to its onboard accelerometer, and after collecting many readings from each of the three axes at a 10Hz sampling rate, they imported the data into Edge Impulse to create the model. This time, rather than using a classifier, they utilized a K-means clustering algorithm — which is great at detecting anomalous readings, such as a motor spinning erratically, compared to a steady baseline. Once the Nicla Sense ME had detected an anomaly, it needed a way to send this data somewhere else and generate an alert. González and Guillan's setup accomplishes the goal by connecting a Microchip AVR-IoT Cellular Mini board to the Sense ME along with a screen, and upon receiving a digital signal from the Sense ME, the AVR-IoT Cellular Mini logs a failure in an Azure Cosmos DB instance where it can be viewed later on a web app. To read more about this preventative maintenance project, you can read the pair’s write-up here on Hackster.io.