Podcast
Questions and Answers
How does the implementation of IoT with Raspberry Pi contribute to real-world applications, according to the course learning outcomes?
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.
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.
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?
In the context of machine-to-machine (M2M) communication, how do IoT components and web services interrelate, as covered in the course?
What is the role of networking and connectivity in enabling IoT devices to communicate and exchange data, as discussed in the course?
What is the role of networking and connectivity in enabling IoT devices to communicate and exchange data, as discussed in the course?
Explain the importance of understanding different types of sensors and transducers in the context of IoT sensing applications.
Explain the importance of understanding different types of sensors and transducers in the context of IoT sensing applications.
How does the course address the implementation of IoT with Raspberry Pi in Python, and what are the key benefits of using this combination?
How does the course address the implementation of IoT with Raspberry Pi in Python, and what are the key benefits of using this combination?
What is the significance of studying fog computing in the context of IoT, and how does it differ from traditional cloud computing?
What is the significance of studying fog computing in the context of IoT, and how does it differ from traditional cloud computing?
In what ways does the course explore the applications of IoT in industrial contexts, specifically within agriculture and healthcare?
In what ways does the course explore the applications of IoT in industrial contexts, specifically within agriculture and healthcare?
How does an understanding of cloud service models contribute to the effective implementation and scaling of IoT solutions?
How does an understanding of cloud service models contribute to the effective implementation and scaling of IoT solutions?
Flashcards
IoT Fundamentals
IoT Fundamentals
The core concepts, devices, communication methods, and implementation using platforms like Arduino and Raspberry Pi.
Actuation Basics
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
Machine to Machine Communication
An IoT component that can be compared to the web with gateways and protocols.
Arduino Programming
Arduino Programming
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Data Analytics and Cloud Computing
Data Analytics and Cloud Computing
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FOG Computing
FOG Computing
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Industrial IoT Case Studies
Industrial IoT Case Studies
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Sensors and Transducers
Sensors and Transducers
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Python Programming and Raspberry Pi
Python Programming and Raspberry Pi
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Study Notes
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Program: Honours/Research
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Class: B.Sc.
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Year: IV Year
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Session: 2024-25
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Subject: Computer Science
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Course Code: S4-COSCIT
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Course Title: Internet of Things (IoT)
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Course Type: Core Course
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Pre-requisite: A student must have a Degree course in B.Sc. to study this course.
Course Learning Outcomes (CLO)
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Understand the basic concepts of IoT
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Use devices, gateways, and communication in IoT
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Learn Arduino and Python programming
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Implement IoT with Raspberry Pi
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Explore the relationships between IoT, cloud computing, and data analytics
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Credit Value: Theory - 4 Credits
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Total Marks: Max. Marks: 100 (30+70)
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Minimum Passing Marks: 35
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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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