IOT Syllabus

IoT Applications & Smart Systems (3040233306)

Pre-requisite

• Basic knowledge of computer networks, microcontrollers (Arduino/ESP32), and programming in C/Python. Familiarity with sensors, electronics, and cloud tools will be helpful for better understanding.

Course Objective

• Understand IoT system architecture & layers, communication protocols, different IoT cloud platforms and implement device-to-cloud integration, edge & fog computing basics. Implementation of sensor data acquisition, processing & analytics using IoT tools for meaningful insights and enable smart applications. Understand fundamentals of Industry 4.0 & smart factories. Explore and implement IoT solutions in domains like healthcare, industrial IoT, smart cities, UAVs and AI/ML integration. Understand sensor network topologies, software defined networks. Implement ESP-NOW protocol in IoT networks. Identify IoT security threats, apply encryption & authentication techniques and design smart systems.

Teaching Scheme

Lecture	Theory	Practical	Hours	Credit
3	0	2	5	4

Unit-01 IoT Communication Protocols & Cloud Platforms (24%)

• IoT system architecture & layers
• IoT communication protocols
• IoT cloud platforms
• Device-to-cloud integration & workflows
• Edge and fog computing basics

Unit-02 IoT Data Acquisition, Processing & Analytics (24%)

• Sensing & actuation, sensor data acquisition
• Logging & storage: local vs cloud, data processing & analytics,
• Basic ML for IoT, data visualization, insights generation & decision support

Unit-03 Industry 4.0, IoT Applications & AI/ML Integration (28%)

• Fundamentals of Industry 4.0
• Smart factories, next generation sensors, AR/VR applications in industries
• IoT application domains: healthcare, food industry, industrial IoT, smart cities
• UAVs in Industries, AI/ML use-cases for prediction & anomaly detection

Unit-04 Distributed Sensor Networks, Security & Smart Systems (24%)

• Sensor network topologies, software defined networks
• ESP-NOW protocol for communication in IoT networks
• IoT security threats
• Security measures: encryption, authentication, design of smart systems

Practical

1. Study of IoT Architecture and Device Setup Procedures.
2. Comparison of HTTP and MQTT in IoT Communication.
3. Implementation of Device-to-Cloud Integration Using an IoT Cloud Platform.
4. Sensor Data Acquisition, Processing and Storage Using SD Card and Cloud Platform.
5. Analysis, Visualization and Decision-Making of Sensor Data.
6. Study of Industry 4.0 Technologies and Their Practical Applications.
7. IoT Application Domain: i) Healthcare Monitoring System ii) Smart Cities
8. Integration of AI/ML in IoT Systems.
9. Study of Software Defined Networks (SDN) with Illustration.
10. ESP-NOW Protocol for Distributed Sensor Networks.
11. Implementation of Encryption and Authentication in IoT Communication.
12. Design and Case Study of an IoT-Based Smart System

---