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PG Diploma in Designing the Internet of Things (IoT)

  • 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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