GTU Study
KHUDKIBOOK
EMBEDDED & IOT
FREE PDF
DI05000201
Code: DI05000201
Credits: 4
Semester 5
RE
Embedded & IoT Systems
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Follow on Instagram for UpdatesEmbedded & IoT Systems Syllabus — Unit-wise Content
The official GTU curriculum for Embedded & IoT Systems (subject code DI05000201) as prescribed for RE · Semester 5 divides the course into 3 units, covering 60 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (DI05000201)Unit 1 Introduction to Raspberry Pi 1.1 Introduction toRaspberry PiArchitecture
- Difference between Single Board Computers (SBCs) and microcontroller
- Why Raspberry Pi for IoT
- Overview of Raspberry Pi models (3B+, 4B, 5)
- Hardware specifications (CPU, RAM, USB, HDMI
- GPIO) 1.2 Hardware Architecture and GPIO Pinout: Block diagram of Raspberry Pi
- 40-pin GPIO layout
- Digital I/O, PWM, I2C, SPI, UART pins
- Safe voltage levels (3.3 V logic)
- LED and relay interfacing basics 1.3 Operating System Setup and Linux Basics: Installing Raspberry Pi OS (Raspbian) using Raspberry Pi Imager
- Headless setup (SSH
- Essential Linux terminal commands (ls, cd, mkdir
- nano, apt, sudo
- File management andRunning scripts at startup 1.4 Python Programming for Hardware Control: Python basics — variables
- data types
- RPi.GPIO library for digital I/O
- Reading sensors (DHT11 temperature/humidity)
- Controlling output devices (LEDs
- Thonny IDE usage 1.5 Communication Interfaces and Data Logging: I2C protocol
- SPI protocol and UART communication
- Logging sensor data to CSV files
Unit 2 Introduction to ESP32 2.1 Introduction to ESP32 Architecture
- ESP32 vs Arduino UNO vs Raspberry Pi
- ESP32 Pinouts and Peripherals
- Power consumption and battery-operation suitability Program Name: Diploma Engineering Level: Diploma Branch: Electrical Engineering / Renewable Energy Subject Code: DI05000201 Subject Name: Embedded & IoT Systems 2.2 Development Environment and Programming: Setting up Arduino IDE for ESP32
- Installing ESP32 board package
- Uploading and testing code
- Introduction to MicroPython on ESP32 using Thonny
- Basic programs — digital output, PWM, analog read
- Serial Monitor for debugging 2.3 Sensor Interfacing with ESP32: Interfacing DHT11 / DHT22 (temperature
- LDR (light sensor)
- Ultrasonic sensor (HC-SR04) for distance
- MQ-2 gas/smoke sensor
- Pulse sensor for heart rate
- GPS module (Neo-6M) for location data
- Displaying readings on OLED/LCD 2.4 Wi-Fi Connectivity and IoT Communication Protocols: Station mode and Access Point mode
- Connecting ESP32 to Wi-Fi network
- HTTP GET/POST requests to cloud platforms
- Sending sensor data to ThingSpeak / Blynk IoT 2.5 ESP32 Web Server: Creating a local web server on ESP32
- Controlling GPIOs via browser
- Real-time sensor data display on web page
Unit 3 Embedded IoT Applications 3.1 Home Automation System
- What is home automation and why it is useful
- Block diagram of a simple home automation system (ESP32 as controller
- relay as switch
- appliance as load)
- Introduction to Blynk IoT app — adding buttons and sliders to control devices from mobile
- Practical demonstration of switching two appliances ON/OFF from a mobile app 3.2 Wearable Health Monitoring Device: What is a wearable device and its use in health monitoring
- Sensors used: MAX30102 (heart rate and SpO2) and DHT11 (temperature)
- Understanding the output — what is a normal vs. abnormal reading
- Program Name: Diploma Engineering Level: Diploma Branch: Electrical Engineering / Renewable Energy Subject Code: DI05000201 Subject Name: Embedded & IoT Systems Simple threshold alert: if heart rate is too high
- light up a red LED 3.3 GPS-Based Location Tracking System: What is GPS and how it works (satellites
- location fix)
- GPS module Neo-6M — connecting to ESP32 via UART (Tx, Rx, VCC, GND)
- Reading latitude and longitude from Serial Monitor using TinyGPS++ library
- Understanding the output data — what latitude and longitude mean
- Entering coordinates manually on Google Maps to verify the location
- Use cases: school bus tracking
- vehicle location
- farm equipment monitoring 3.4 Real-Time Data Collection and Dashboard: Concept of a data dashboard — seeing live sensor values in one place
- Introduction to Node-RED on Raspberry Pi — drag-and-drop visual programming
- Adding an MQTT input node and a gauge/chart widget in Node- RED to display sensor data
- Setting up a simple alert: when temperature crosses a set value light up Red LED
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