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Course Detail

Course Name Design for IoT and Cloud Computing
Course Code 25ES650
Program M. Tech. in Embedded Systems
Credits 3
Campus Bengaluru, Coimbatore

Syllabus

Syllabus

Embedded Systems: Rise of embedded systems and their transition to intelligent systems and to Internet of Things -RFIDs, NFC, Web of Things – Embedded Systems Design: power and energy consumption; hardware design elements, software platforms OS and applications, code optimization, validation and robust code generation; system integration, debugging and test methodology; tools for coding, debugging, optimization, and documentation; measurement of system performance, Creating virtual prototypes -hardware software emulation. IoT Reference Architectures, Introduction to Node Red, Visual Prototyping with Arduino and connectivity to IoT platforms, Applications: Healthcare and home automation examples. Cloud Computing: Infrastructure as a Service (IaaS), Cloud Database, Cloud storage. Platform as a Service (PaaS) for Web Rapid Application Development (RAD), Distributed Storage, Distributed Computing frameworks. Connectivity to remote server database, data access-storage processing. Development of cloud server and web applications.

Text Books / References
  1. Barry, P., and Crowley, P., “Modern Embedded Computing”, Morgan Kaufmann, 2012. 
  2. Vijay Madisetti and Arshdeep Bahga, “Internet of Things: A Hands-on Approach”, Hardcover Import, 2014. 
  3. Thomas Erl, “Cloud Computing: Concepts, Technology & Architecture”, Prentice Hall, May 2013. 
  4. Michael J. Kavis, “Architecting the Cloud: Design Decisions for Cloud Computing Service Models (SaaS, PaaS, &IaaS)”, Wiley CIO Series, January 2014. 
  5. George Reese, “Cloud Application Architectures: Building Applications and Infrastructure in the Cloud”, O’Reilly, 2009. 

Objectives and Outcomes

Pre-requisite: Nil

Course Objectives:

  • To introduce the evolution of embedded systems towards intelligent and IoT-enabled solutions, including design considerations and development tools.
  • To familiarize IoT architectures, rapid prototyping, and application development for real-world domains.
  • To provide knowledge on cloud computing models, distributed systems, and developing cloud-integrated web and database applications for IoT connectivity.

Course Outcomes:

CO1: Understand the challenges and requirement of IoT framework. 
CO2: Distinguish applications from ubiquitous computing, IoT and WoT. 
CO3: Discuss the issues in system integration, debugging, testing and analysing the system performance. 
CO4: Design an IoT application. 

CO-PO Mapping:

PO/PSO PO1 PO2 PO3 PSO1 PSO2
CO
CO1 2  1  3  2  2 
CO2 2  1  3  2  2 
CO3 3  2  3  3  3 
CO4 3  2  3  3  3 

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