
Download and install the Arduino IDE, select your Windows version, install drivers, connect the Arduino board via USB, and verify board and port in the IDE.
Generate a digital signal with Arduino by setting pin 13 as output, uploading the program, and toggling the pin high and low to drive the LED.
Learn to acquire an analog signal with an Arduino, wiring a potentiometer to the A0 pin, reading values via analogRead, and printing readings to the serial monitor with a delay.
Learn to perform real-time data acquisition by reading an analog signal with an Arduino Nano, using the analog read on input channel A0 and a serial interface.
Connect a buzzer to an Arduino Nano, configure an analog signal path, and control the buzzer with a software interface and a button to generate on/off signals.
Interface the DHT11 humidity and temperature sensor with Arduino for real-time data acquisition. Understand hardware pin connections and the software workflow to read temperature and humidity.
Interface a relay module with an Arduino Nano, wiring ground and signal, and generate control signals to switch the relay on and off, with LED indicators.
Learn to interface a touch sensor with an Arduino Nano, read analog signals, and drive an LED to demonstrate real-time data in the Arduino-MATLAB setup.
Learn to acquire analog input from a potentiometer with MATLAB, wire it to an analog pin, configure hardware, and display the real-time reading with a scaling formula.
Demonstrate digital signal generation with MATLAB and USB DAQ 6001, wiring a LED to pin 0, using data acquisition toolbox and Simulink, converting pulse generator output to boolean for on-off.
Acquire multiple digital signals with MATLAB and a USB DAQ 6001 using an eye tracker and a demux to separate three input lines, then display the values in software.
Learn to interface a capacitive touch sensor with a DAC device using MATLAB and NI USB-6001, focusing on proper pin wiring, digital signal acquisition, and debugging with a scope.
Unlock the power of embedded systems and real-time interfacing through this comprehensive course on Arduino-based development and data acquisition. Designed for students, hobbyists, engineers, and innovators, this course provides a hands-on, immersive introduction to the Arduino hardware and software ecosystem, enabling you to build intelligent and interactive electronic systems from the ground up.
At its core, Arduino is a versatile, open-source platform that bridges the digital and physical worlds. In this course, you will learn to harness the capabilities of Arduino to read and control real-world parameters using various sensors and actuators. Through a blend of theoretical foundations and extensive practical sessions, you will explore how to connect and program the Arduino Uno board, understand its microcontroller architecture, work with digital, analog, and PWM signals, and interpret hardware schematics and pin configurations.
The course begins with an exploration of the Arduino development environment (IDE), board composition, and the fundamental programming structure based on C/C++. You’ll then dive into the acquisition and generation of signals—learning how to process analog and digital inputs from sensors and how to control outputs such as LEDs, motors, and displays. The intricacies of pull-up and pull-down resistors are covered to ensure signal integrity and reliable interfacing with switches and digital inputs.
One of the key highlights of this course is the integration of Arduino with MATLAB and LabVIEW—two powerful environments for real-time data visualization, signal processing, and automation. You’ll learn how to acquire data from the Arduino into MATLAB for advanced analysis, and how to build LabVIEW VIs (Virtual Instruments) for graphical programming and control. This dual-platform approach empowers you to bridge embedded hardware with high-level engineering tools used in industry and research.
Additionally, you will explore touch sensor interfacing, understand how to use serial communication protocols, and build interactive systems with immediate feedback from the physical world. Whether you’re working on academic projects, DIY automation, or prototyping commercial products, this course equips you with the necessary skills to bring ideas to life.
By the end of this course, you will not only gain deep insights into Arduino-based design but also build a solid foundation for advanced microcontroller programming, sensor fusion, IoT development, and system integration using cutting-edge software platforms. Join us to transform your curiosity into creation, and master the art of real-time interaction with the physical world.