B.Sc. IV Year: Introduction to IoT & Sensing

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Questions and Answers

How does the implementation of IoT with Raspberry Pi contribute to real-world applications, according to the course learning outcomes?

It allows for the development of practical IoT solutions by integrating hardware and software, enabling students to apply their knowledge to create functional IoT devices and systems.

Explain the significance of understanding the relationship between IoT, cloud computing, and data analytics in modern IoT ecosystems.

Understanding this relationship is crucial for leveraging cloud resources for data storage and processing, enabling efficient management and analysis of the vast amounts of data generated by IoT devices.

Describe how the course covers the integration of sensors and actuators with Arduino for IoT applications.

The course covers interoperability in IoT, introduces Arduino Programming, and covers the integration of Sensors and Actuators with Arduino.

In the context of machine-to-machine (M2M) communication, how do IoT components and web services interrelate, as covered in the course?

<p>IoT components interface with web services through gateways and protocols like MQTT to enable data exchange and remote control, creating interconnected and scalable IoT solutions.</p> Signup and view all the answers

What is the role of networking and connectivity in enabling IoT devices to communicate and exchange data, as discussed in the course?

<p>Networking provides the infrastructure for IoT devices to connect and exchange data, while connectivity protocols ensure seamless communication and interoperability between different devices and systems.</p> Signup and view all the answers

Explain the importance of understanding different types of sensors and transducers in the context of IoT sensing applications.

<p>Understanding different types of sensors and transducers is important for selecting the appropriate sensing devices for specific IoT applications, ensuring accurate data collection and reliable system performance.</p> Signup and view all the answers

How does the course address the implementation of IoT with Raspberry Pi in Python, and what are the key benefits of using this combination?

<p>The course covers the basics of Python Programming and introduces students to Raspberry Pi to implement IoT. The combination's key benefits stem from the ease of use of the Python language, and the versatility of Raspberry Pi.</p> Signup and view all the answers

What is the significance of studying fog computing in the context of IoT, and how does it differ from traditional cloud computing?

<p>Fog computing brings data processing closer to the edge devices, reducing latency and bandwidth usage compared to traditional cloud computing, making it suitable for real-time IoT applications.</p> Signup and view all the answers

In what ways does the course explore the applications of IoT in industrial contexts, specifically within agriculture and healthcare?

<p>The course explores industrial IoT case studies that involve agriculture, healthcare, and activity monitoring.</p> Signup and view all the answers

How does an understanding of cloud service models contribute to the effective implementation and scaling of IoT solutions?

<p>Understanding cloud service models allows developers to select the most suitable infrastructure and services for their IoT applications, optimizing cost, scalability, and performance.</p> Signup and view all the answers

Flashcards

IoT Fundamentals

The core concepts, devices, communication methods, and implementation using platforms like Arduino and Raspberry Pi.

Actuation Basics

Electrical, mechanical, and soft actuators are types of actuators. It also involves networking basics, communication protocols, and sensor networks.

Machine to Machine Communication

An IoT component that can be compared to the web with gateways and protocols.

Arduino Programming

Interoperability in IoT and integration of sensors/actuators.

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Data Analytics and Cloud Computing

Fundamentals cover data handling, cloud models, service management,sensor-cloud architecture, views, and dataflow.

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FOG Computing

Introduction, architecture, need, applications, and challenges of fog computing.

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Industrial IoT Case Studies

Applying IoT in agriculture, healthcare, and activity monitoring.

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Sensors and Transducers

Sensors that convert physical quantities into electrical signals, their types, and error analysis.

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Python Programming and Raspberry Pi

Using Python for programming and implementing IoT with Raspberry Pi.

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Study Notes

  • Program: Honours/Research

  • Class: B.Sc.

  • Year: IV Year

  • Session: 2024-25

  • Subject: Computer Science

  • Course Code: S4-COSCIT

  • Course Title: Internet of Things (IoT)

  • Course Type: Core Course

  • Pre-requisite: A student must have a Degree course in B.Sc. to study this course.

Course Learning Outcomes (CLO)

  • Understand the basic concepts of IoT

  • Use devices, gateways, and communication in IoT

  • Learn Arduino and Python programming

  • Implement IoT with Raspberry Pi

  • Explore the relationships between IoT, cloud computing, and data analytics

  • Credit Value: Theory - 4 Credits

  • Total Marks: Max. Marks: 100 (30+70)

  • Minimum Passing Marks: 35

  • Total number of lectures: 60 (2 Lectures per week, 1 hour each)

Module I: Introduction to IoT & Sensing (12 Lectures)

  • Introduction to IoT: Definition, characteristics, applications, evolution, enablers
  • Connectivity layers, addressing, networking and connectivity issues
  • Network configurations, multi-homing
  • Sensing: Sensors and transducers, classification, different types of sensors, errors

Module II: Actuation & Networking (8 Lectures)

  • Actuation: Basics, actuator types (electrical, mechanical, soft actuators)
  • Networking: Introduction, basics of networking, communication protocols, sensor networks
  • Machine to Machine Communication: IoT components, inter-dependencies, SoA, gateways
  • Comparison between IoT and Web, difference protocols
  • Complexity of networks, wireless networks, scalability, protocol classification, MQTT & SMQTT, IEEE 802.15.4 (Zigbee)

Module III: Arduino Programming (10 Lectures)

  • Interoperability in IoT
  • Introduction to Arduino programming
  • Integration of sensors and actuators with Arduino

Module IV: Python Programming and Raspberry Pi (12 Lectures)

  • Introduction to Python programming
  • Introduction to Raspberry Pi
  • Implementation of IoT with Raspberry Pi

Module V: Data Analytics and Cloud Computing (8 Lectures)

  • Data handling and analytics
  • Cloud computing fundamentals
  • Cloud computing service model
  • Cloud computing service management and security
  • Sensor-cloud architecture, view, and dataflow

Module VI: FOG Computing and Industrial IoT (10 Lectures)

  • FOG Computing: Introduction, architecture, need, applications, and challenges
  • Industrial IoT Case Studies: Agriculture, healthcare, activity monitoring

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