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Course Detail

Course Name Internet of Things
Course Code 24CSC314
Program Integrated M. Sc. Mathematics and Computing
Semester VI
Credits 3
Campus Coimbatore

Summary

Introduction to loT – loT definition – Characteristics – Things in loT – loT Complete Architectural Stack – loT enabling Technologies – loT Challenges – loT Levels – A Case Study to realise the stack. 

Sensors and Hardware for loT – Accelerometer, Proximity Sensor, lR sensor, Gas Sensor,Temperature Sensor, Chemical Sensor, Motion Detection Sensor.Hardware Kits – Arduino,Raspberry Pi, Node MCU. A Case study with any one of the boards and data acquisition from sensors (Lab Component). 

Protocols for loT – infrastructure protocol IPV4/V6|RPL), Identification (URLs), Transport (Wi-Fi, Li-Fi, BLE), Discovery, Data Protocols, Device Management Protocols. – A Case Study with MQTT/CoAP usage. (Lab Component).

Cloud and Data analytics- Types of Cloud – loT with cloud challenges – Selection of cloud for IoT applications – Fog computing for loT – Edge computing for loT – Cloud security aspects for loT applications – RFM for Data Analytics – Case study with AWS / AZURE / Adafruit / IBM Bluemix (Lab Component). 

Case studies with architectural analysis: 

loT applications – Smart City – Smart Water – Smart Agriculture – Smart Energy – Smart Healthcare – Smart Transportation – Smart Retail -Smart waste management . (Lab Component – As a project) 

Text and Reference Books

Text and Reference Books

  1. “lnternet of Things: A Hands-on Approach”, by ArshdeepBahga and Vijay Madisetti (UniversitiesPress)
  2. lnfosys Training E Materials.
  3. “The Internet of Things: Enabling Technologies, Platforms, and Use Cases’,, by pethuru Rajand Anupama C. Raman (CRC press)
  4. Adrian McEwen, Designing the internet of Things, Wiley (B November 2Ot3), ISBN 13:978-.11-L1,8430620,
  5. NPTEL Reference :https://onlinecourses.nptel.ac.in/noc17_cs22/preview

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