Course Information
Course Code
BCS701
Credits
04
Total Hours
40 hours
Examination
Theory (3 hours)
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Course Objectives
- Understand the recent application domains of IoT in everyday life.
- Understand the protocols and standards designed for IoT and the current research on it.
- Understand the other associated technologies like cloud and fog computing in the domain of IoT.
- Understand about the fundamentals of IOT and its building blocks along with their characteristics.
Course Modules
Module 1: Introduction to Internet of Things:
Topics: ntroduction, Physical design of IOT, Logical Design of IOT, IOT enabling technologies, IOT Levels & Deployment Templates.
Module 2: IOT and M2M: Introduction:
Topics: M2M, Difference between IoT and M2M, SDN and NFV for IOT, IOT System Management with NETCONF-YANG, Need for IOT Systems.
Module 3: IoT Platforms Design Methodology
Topics: ntroduction, IoT Design Methodology, Case Study on IoT System for Weather Monitoring, loT Systems - Logical Design using Python..
Module 4: IoT Physical Devices & End points
Topics: What is a loT Device, Raspberry Pi, About the Board, Linux on Raspberry Pi, Raspberry Pi interfaces, Programming Raspberry Pi with Python,.
Module 5: Data Analytics for IoT
Topics: Introduction, Apache Hadoop, Using Hadoop MapReduce for Batch Data Analytics, Apache Oozie.