Introduction to Internet of Things

Indian Institute of Technology Bombay via Coursera

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Details

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Provider

Coursera
Pricing

Free Online Course (Audit)
Languages

English
Certificate

Paid Certificate Available
Duration & workload

14 hours 48 minutes
Sessions

On-Demand
Level

Intermediate
Subtitles

English

Found in

Overview

Enroll in "Introduction to Internet of Things," a meticulously curated course by the eminent faculty of IIT Bombay in conjunction with TIH Foundation for IoT & IoE. This comprehensive course, spanning four modules, equips learners with foundational knowledge and skills essential to navigate the dynamic landscape of IoT. The Learning Objectives of this four-module course led by Prof. Rajbabu Velmurugan, Prof. Laxmeesha Somappa and Prof. Gaurav S. Kasbekar include - - Understand the fundamental elements and characteristics of IoT including its framework and applications; - Distinguish between various classifications of sensors and interfaces, comprehend their features and challenges, and evaluate their readouts; - Analyze the structure and applications of IoT nodes, and apply the essential messaging protocols necessary for IoT; and - Synthesize knowledge of IoT data analysis methodologies specific to IoT datasets. Ideal for engineers, IT professionals, tech enthusiasts, and students, this course promises not only theoretical insights but also practical understanding. By the end of the course, participants will emerge as well-rounded IoT professionals, capable of conceptualising, designing, and implementing IoT solutions across diverse sectors. With a blend of rich content, hands-on demonstrations, reading materials, and quizzes, under the mentorship of IIT Bombay's esteemed faculty, this course serves as a beacon for those aspiring to pioneer in the realm of the Internet of Things.

Syllabus

Internet of Things (IoT): An Introduction

Led by Prof. Rajbabu Velmurugan, in the "Internet of Things (IoT): An Introduction" module, learners will embark on a comprehensive journey into the fundamentals of IoT. Lesson 1 delves into the very essence of IoT, exploring its applications and distinct characteristics. Progressing to Lesson 2, participants will uncover the diverse models and components of IoT, enriched with real-world examples like home automation. Concluding with Lesson 3, the module offers an in-depth analysis of IoT architecture and its design goals, ensuring a holistic understanding of the subject. With a well-curated blend of videos and insights, this module serves as an essential primer for anyone keen on grasping the basics of the IoT realm.

Sensors & Interfaces

Led by Prof. Laxmeesha Somappa, the "Sensors & Interfaces" module offers a comprehensive exploration into the intricate world of sensors, their characteristics, and their interfacing techniques. Lesson 1 serves as a foundational introduction to the realm of sensors, delving into their classifications and providing in-depth case studies on select sensor types like accelerometers, displacement/proximity sensors, and temperature sensors. Building on this foundation, Lesson 2 dives into the vital characteristics that define and differentiate sensors, covering aspects such as sensitivity, accuracy, and response time. The subsequent lessons shift focus to the crucial process of sensor readout, with Lesson 3 elucidating the concepts and design choices surrounding Analog to Digital Conversion (ADC) and quantization, and Lesson 4 highlighting the non-idealities one might encounter, including opamp specific issues.

Networking of IoT Nodes

Led by Prof. Gaurav S. Kasbekar, the "Networking of IoT Nodes" module delves deep into the mechanisms and challenges of connecting diverse IoT nodes, ensuring seamless communication and data exchange. Lesson 1 lays the foundation by introducing the concept of IoT nodes, their diverse applications in sectors like agriculture, healthcare, smart homes, and infrastructure, and outlines the challenges in their networking. Lesson 2 ventures into low power, low data rate networks, illuminating participants on the IEEE 802.15.4 standard, as well as cutting-edge technologies like LoRa and SigFox. In Lesson 3, the spotlight is on the integration of constrained devices, offering insights into 6LoWPAN, header compression, fragmentation, and routing protocols. Rounding off the module, Lesson 4 dives into messaging protocols essential for IoT, with a comprehensive overview of CoAP and MQTT, their formats, and communication intricacies.

Data Analysis for IoT

Led by Prof. Rajbabu Velmurugan, in the "Data Analysis for IoT" module, learners delve into the critical aspects of analyzing vast amounts of data generated by IoT devices. Beginning with an exploration of the significance of data analysis specifically for IoT in Lesson 1, participants will be introduced to the components, feasibility, and various types of learning methods tailored for IoT datasets, with hands-on Python-based implementations. Lesson 2 offers a deeper dive into specific data analysis techniques, encompassing linear regression, time-series models, and clustering methodologies. With a blend of theoretical insights and practical demonstrations, this module ensures that learners are well-equipped to harness the power of data in the IoT domain. Concluding with a special message from the CEO of TIH-IoT. This module is a blend of theoretical knowledge, practical insights, and real-world applications, ensuring learners are well-equipped to navigate the networking landscape of IoT.