Textbooks: 1. Douglas Eadline, "Hadoop 2 Quick-Start Guide: Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem", 1 st Edition, Pearson Education, 2016. ISBN-13: 978- 9332570351 2. Anil Maheshwari, “Data Analytics”, 1 st Edition, McGraw Hill Education, 2017. ISBN-13: 978-
9352604180 Reference Books: 1. Tom White, “Hadoop: The Definitive Guide”, 4 th Edition, O’Reilly Media, 2015.ISBN-13: 978- 9352130672 2. Boris Lublinsky, Kevin T.Smith, Alexey Yakubovich, "Professional Hadoop Solutions", 1 st Edition, Wrox Press, 2014ISBN-13: 978-8126551071 3. Eric Sammer, "Hadoop Operations: A Guide for Developers and Administrators", 1 st Edition, O'Reilly Media, 2012.ISBN-13: 978-9350239261
INTERNET OF THINGS (Effective from the academic year 2018 -2019) SEMESTER – VIII Subject Code 18CS731 CIE Marks 40 Number of Contact Hours/Week 3:0:0 SEE Marks 60 Total Number of Contact Hours 40 Exam Hours 3 Hrs CREDITS –3 Course Learning Objectives: This course (18CS731) will enable students to: • Assess the genesis and impact of IoT applications, architectures in real world. • Illustrate diverse methods of deploying smart objects and connect them to network. • Compare different Application protocols for IoT. • Infer the role of Data Analytics and Security in IoT. • Identifysensor technologies for sensing real world entities and understand the role of IoT in various domains of Industry. Module 1 Contact Hours What is IoT, Genesis of IoT, IoT and Digitization, IoT Impact, Convergence of IT and IoT, IoT Challenges, IoT Network Architecture and Design, Drivers Behind New Network Architectures, Comparing IoT Architectures, A Simplified IoT Architecture, The Core IoT Functional Stack, IoT Data Management and Compute Stack. 08 Module 2 Smart Objects: The “Things” in IoT, Sensors, Actuators, and Smart Objects, Sensor Networks, Connecting Smart Objects, Communications Criteria, IoT Access Technologies. 08 Module 3 IP as the IoT Network Layer, The Business Case for IP, The need for Optimization, Optimizing IP for IoT, Profiles and Compliances, Application Protocols for IoT, The Transport Layer, IoT Application Transport Methods. 08 Module 4 Data and Analytics for IoT, An Introduction to Data Analytics for IoT, Machine Learning, Big Data Analytics Tools and Technology, Edge Streaming Analytics, Network Analytics, Securing IoT, A Brief History of OT Security, Common Challenges in OT Security, How IT and OT Security Practices and Systems Vary, Formal Risk Analysis Structures: OCTAVE and FAIR, The Phased Application of Security in an Operational Environment 08 Module 5 IoT Physical Devices and Endpoints - Arduino UNO: Introduction to Arduino, Arduino UNO, Installing the Software, Fundamentals of Arduino Programming. IoT Physical Devices and Endpoints - RaspberryPi: Introduction to RaspberryPi, About the RaspberryPi Board: Hardware Layout, Operating Systems on RaspberryPi, Configuring RaspberryPi, Programming RaspberryPi with Python, Wireless Temperature Monitoring System Using Pi, DS18B20 Temperature Sensor, Connecting Raspberry Pi via SSH, Accessing Temperature from DS18B20 sensors, Remote access to RaspberryPi, Smart and Connected Cities, An IoT
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