Introduction to Internet of Things

Introduction to Internet of Things introduces students to the design and implementation of connected systems using sensors, actuators, embedded devices, cloud platforms, and user interfaces. The course emphasizes hands-on labs and real-world IoT applications such as smart homes, environmental monitoring, and industrial automation.

Course Syllabus

You can find the course Syllabus in here: IOT Course Syllabus

👋 Introduction

Welcome to the Introduction to Internet of Things (IoT) course!

This course introduces the fundamental concepts of IoT, focusing on sensing, connectivity, cloud integration, and user interaction. Students will learn how physical devices collect data, communicate over the Internet, and interact with users through dashboards, mobile apps, and messaging platforms.

IoT concepts will be applied to real-world scenarios such as smart monitoring systems, remote control applications, and data-driven automation.

📋 Course Overview

🗝️ Key Topics Covered

Foundations of IoT

• What is IoT?
• IoT architecture: device, network, cloud, application
• IoT use cases and real-world applications

Embedded Devices for IoT

• ESP32 and microcontroller fundamentals
• GPIO, ADC, PWM, timers
• Power management basics
• Wi-Fi networking concepts

Sensors & Actuators

• Temperature, humidity, gas, light sensors
• Motion and distance sensors
• Relays, motors, servos, LEDs
• Sensor calibration and data reliability

Communication Protocols

• HTTP and REST APIs
• MQTT protocol and publish–subscribe model
• Data formats (JSON)

IoT Platforms & Visualization

• Node-RED for IoT flow programming
• MQTT integration with Node-RED
• Grafana dashboards and data visualization
• Data logging and monitoring

Web & Mobile Interfaces

• ESP32 Web Server for control and monitoring
• Telegram Bot for IoT interaction
• Blynk IoT platform
• MIT App Inventor mobile applications

Automation & Control

• Event-driven IoT systems
• Rule-based automation
• Scheduling and alert systems

IoT Security (Introduction)

• Device authentication concepts
• Basic communication security
• Common IoT security risks

By the end of this course, students will be able to design, implement, and deploy a complete IoT system with remote control and real-time monitoring.

📝 Course Criteria

💻 Programming & Tools

Students may use the following tools and platforms:

• ESP32 microcontroller
• MicroPython / Arduino (C++)
• Python (basic level)
• MQTT Broker
• Node-RED
• Grafana
• Telegram Bot API
• Blynk IoT
• MIT App Inventor
• Arduino IDE / Thonny / PlatformIO

Component

You can find all the components which are used in the course in here: Components for IOT Class

Classroom Rules

• No food or Drink inside the Lab
• No later than 15 minutes after the class start time.
• No work for other classes during this class.
• No gaming (mobile, laptop, or browser games).
• Do not use equipment without permission.
• Follow lab instructions and safety rules carefully.
• Listen respectfully when others are speaking.
• Respect classmates and the instructor at all times
• Be open to feedback and constructive criticism.
• No cheating.

  🗺️ Course Progress

Note: The following content will be updated progressively as the course advances.

Additional Documents