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.
Introduction to Internet of Things
Instructeurs : Prof. Rajbabu Velmurugan
2 599 déjà inscrits
Inclus avec
(35 avis)
Expérience recommandée
Ce que vous apprendrez
Recall the core principles and characteristics of the Internet of Things (IoT) discussed in the course lectures and materials.
Explain the various applications and domain areas of IoT, including home automation, by synthesizing information from the course modules.
Implement knowledge of IoT components, networking protocols, and data analysis methodologies to solve IoT-related problems.
Evaluate the challenges and design goals associated with IoT architecture and implementation, and propose strategies to address them effectively.
Compétences que vous acquerrez
- Catégorie : Sensors
- Catégorie : Data Analysis Techniques
- Catégorie : Messaging Protocols
- Catégorie : Internet of Things (IoT)
- Catégorie : Sensor Readout
- Catégorie : Data analysis for IoT
- Catégorie : Model and Components of IoT
- Catégorie : Readout Non-Idealities
- Catégorie : Internet Of Things (IoT)
- Catégorie : IoT Architecture & Design Goals
- Catégorie : Low Power, Low Data Rate Network
- Catégorie : Sensor Characteristics
- Catégorie : IoT Nodes
Détails à connaître
Ajouter à votre profil LinkedIn
17 devoirs
Découvrez comment les employés des entreprises prestigieuses maîtrisent des compétences recherchées
Obtenez un certificat professionnel
Ajoutez cette qualification à votre profil LinkedIn ou à votre CV
Partagez-le sur les réseaux sociaux et dans votre évaluation de performance
Il y a 4 modules dans ce cours
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.
Inclus
14 vidéos4 lectures4 devoirs1 sujet de discussion
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.
Inclus
17 vidéos4 lectures5 devoirs
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.
Inclus
22 vidéos4 lectures5 devoirs
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.
Inclus
13 vidéos4 lectures3 devoirs
Instructeurs
Offert par
Recommandé si vous êtes intéressé(e) par Electrical Engineering
Board Infinity
New York University
Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?
Avis des étudiants
35 avis
- 5 stars
94,44 %
- 4 stars
2,77 %
- 3 stars
2,77 %
- 2 stars
0 %
- 1 star
0 %
Affichage de 3 sur 35
Révisé le 13 août 2024
amazing and very useful course in growing one's career graph professionally
Révisé le 6 sept. 2024
the learning of IOT is very fixable and I have educated in IOT now thanking you
Révisé le 9 août 2024
Really good course to upgrade ur skills , i already knew abt whatever came in this course😃
Ouvrez de nouvelles portes avec Coursera Plus
Accès illimité à 10,000+ cours de niveau international, projets pratiques et programmes de certification prêts à l'emploi - tous inclus dans votre abonnement.
Faites progresser votre carrière avec un diplôme en ligne
Obtenez un diplôme auprès d’universités de renommée mondiale - 100 % en ligne
Rejoignez plus de 3 400 entreprises mondiales qui ont choisi Coursera pour les affaires
Améliorez les compétences de vos employés pour exceller dans l’économie numérique
Foire Aux Questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.