Designing the Internet of Things (IoT)
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PG Diploma in Internet of Things

Part 1: Introduction & Fundamentals of IoT
  • Introduction
  • What is Internet of Things?
  • Why Internet of Things is important?
  • How Internet of Things is changing the way we live?
  • Impact of Internet of Things?
  • Case study on RFID
  • The Web of Things
    • Linked data – value is greatest when linked
    • Enterprise data – shared vs. public vs. private
    • Importance of security, privacy, and authenticity
    • Industry standards
    • Web of Things layer as the driver for IoT systems
  • IoT: Architecture
    • Sensing-
    • Connectivity
    • Analytics
  • Market & Technology Trends
  • Opportunities Challenges in Internet of Things
  • Data storage and analysis
    • Managing high rate sensor data
    • Processing data streams
    • Data consistency in an intermittently connected
    • or disconnected environment
    • Identifying outliers and anomalies
  • Lessons from the Internet
    • Is the Internet the right technology to hook together a network of things?
    • The key lessons that our experience with the Internet teaches us about a future of things
    • A focus on network management, security, mobility and longevity
    • The desirable features of a distributed architecture for a system of things
Part 2: IoT Development platforms
  • Localization
    • Localization algorithms
    • Indoor localization
    • Localization for mobile systems
    • Applications
  • Security in IOT
    • Why is security for IoT so hard?
    • Threat models
    • Defensive strategies and examples
  • Data storage and analysis
    • Managing high rate sensor data
    • Processing data streams
    • Data consistency in an intermittently connected or disconnected environment
    • Identifying outliers and anomalies
  • HCI and IoT World
    • Theory and applications of spoken dialogue for human-computer interaction
    • Combining speech with other modalities for natural interaction
    • Considerations for multilingual interactions
    • Paralinguistic information from speech for enhanced HCI
    • Future challenges for ubiquitous speech interfaces
  • Robotics and Autonomous Vehicles
    • Potential benefits of self-driving vehicles and service robots
    • Sensing and data processing
    • Simultaneous mapping and localization
    • Levels of autonomy
    • Future research challenges
Part 3: Software and Hardware platform for IoT
  • Programming Languages
    • C
    • C++
    • Python
  • Embedded Linux
    • Introduction to Linux OS
    • OS Fundamentals
    • Linux Command line/Shell
  • Hardware Platforms
    • Arduino
    • ARM
    • Raspberry PI
  • Communication Interfaces
    • General Purpose I/O(GPIO)
    • Serial Communication Interfaces: RS-232/485
    • Synchronous Peripheral Interfaces: I2C,SPI
    • ADC & DAC Interfaces
  • Real time operating systems for IOT
    • Contiki
    • TinyOS
    • RIOT
    • FreeRTOS etc
Part 4: Wireless Sensor Networks
  • Introduction to Wireless Sensors Networks
  • Wireless protocols
    • One size does not fit all: why are there dozens of connectivity options?
    • Three key dimensions: application duty cycle and data rate, battery consumption, and communication range
    • Three case studies: low-power design (Bluetooth Low Energy), range extension techniques (data mining and mesh networking), and data-intensive IoT for continuous recognition applications
    • Predictions for the next few years
  • Wired Connectivity
    • Ethernet
    • Serial Communications
  • Wireless Communication Protocols
    • Wi-Fi
    • RF & RFID
    • IPV4 & IPV6
    • 6LOWPAN
    • Zigbee (IEEE 802.15.4)
    • Bluetooth or Bluetooth Low Energy
    • GSM(2G/3G/LTE)
Part 5: Machine to Machine Communications
  • Introduction to M2M
  • M2M Applications
  • Role of M2M in IOT
  • IoT Communication Protocols - MQTT,MQTT-SN,CoAP,Restful HTTP,Websockets
  • Remote Monitoring & Controlling of Sensors from Cloud or Web
Part 6: IoT Applications
  • Smart Buildings
    • Emerging descriptive data standards for IoT and sensors
    • Immersive visualization of diverse sensor data using game engines
    • Wearable sensing for IoT featuring new ways to control and interact with your environment
    • Sensors and paradigms for seamless interaction with the built environment
    • Smart tools for IoT
    • Smart, sensate materials
  • Wireless Technologies for Indoor Localization, Smart Homes, and Smart Health
    • Smart health
    • Home automation
    • Location tracking
  • Smart Cities
    • The city as a cyber physical system
    • Principles of cybernetics such as sensing and actuating
    • Collection of information including opportunistic sensing, crowd sensing, and ad hoc sensing
    • Response of the system including analytics and optimization, distributed action, people as intelligent actuators
    • Price of anarchy
    • Hacking the city: the risk for cyber attacks in centralized and distributed systems
    • Smart city equals smart citizens
  • Roadmap of the Internet of Things (IoT)
    • Utilizing sensors to gain greater visibility and real-time situational awareness
    • Ways to act on the information collected, thereby controlling the real world
    • Formulating an architecture that enables a macro picture of systems, an accessible design paradigm, and a set of interfaces which can be standardized
    • A security paradigm, which considers setup, maintenance, and updating
    • Vertical applications that provide a clear business case and a pressing opportunity
    • Emerging technologies to address IoT challenges

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