Introduction to Internet of Things

Prof. Rajbabu Velmurugan, Prof. Laxmeesha Somappa, and Prof. Gaurav S. Kasbekar

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;

What's inside

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.

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Internet of Things with these activities:

Compile a list of IoT resources, tools, and technologies

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Gather and organize resources and tools to support your IoT learning and development.

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Search for online resources, tools, and technologies related to IoT.
Identify and select resources that are relevant to your specific interests and learning goals.
Organize the resources into a structured compilation, such as a spreadsheet or document.
Share the compilation with other students or interested individuals.

Practice identifying components of IoT systems

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Review the fundamental elements and characteristics of IoT, including its framework and applications.

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Identify the key components of an IoT system, such as sensors, actuators, and gateways.
Understand the different types of IoT sensors and their applications.
Explain the role of actuators in IoT systems.
Describe the purpose of IoT gateways and their functions.
Illustrate the communication protocols used in IoT systems.

Review 'Internet of Things: A Hands-On Approach' by Arshdeep Bahga and Vijay Madisetti

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Expand and provide additional depth to your understanding of IoT concepts and applications.

View Blockchain Applications: A Hands-On Approach on Amazon

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Read the book's chapters on IoT fundamentals, sensors and networking, data analytics, and security.
Summarize the key concepts and technologies discussed in each chapter.
Identify areas where the book's content aligns with the course material.
Use the book as a reference for further research and exploration of IoT topics.

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Follow tutorials on building IoT projects using Arduino or Raspberry Pi

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Gain practical experience in building and implementing IoT systems.

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Identify a specific IoT project that you want to build.
Search for online tutorials or courses that provide step-by-step instructions on how to build the project.
Follow the instructions in the tutorials, taking note of any specific tools or materials required.
Build and test the IoT project, making any necessary adjustments or modifications.
Reflect on the process and learning outcomes from the project.

Participate in IoT hackathons or challenges

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Apply your IoT knowledge and skills in a competitive environment.

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Identify and register for IoT hackathons or challenges that align with your interests.
Form a team or work individually on developing an innovative IoT solution.
Design and implement your IoT solution within the given time frame.
Present your solution to a panel of judges and receive feedback.
Reflect on your experience and identify areas for improvement.