• Development Boards
  • Raspberry Pi 3
  • Arduino Mega (ATMega2560) with a USB cable
  • ESP8266 NodeMcu
• Electronic Components
  • Sensors – Analog temperature sensor(LM35)
  • IR Proximity Sensor
  • Switches – Push Button (10)
  • Breadboard
  • LEDs (10)
  • Resistors (10)
  • Connecting leads (25)
  • Memory Card (16 GB)
  • HDMI – VGA Converter
  • 1A Power Adapter
• Communication Modules
  • WiFi – ESP01
  • Bluetooth – HC05

• Syntax and structure
• Comparisons to other languages (C, C++, Java, etc)
• Available Python Resources
• Whitespace, Indentation and program formatting
• Variables and Naming Conventions
• Operators
• Statement structure
• Comments
• Program Construction

• Built-in Types
• Strings and Numbers
• Formatting Data, Numbers, Dates
• Using Lists/Arrays
• Tuples
• Dictionaries
• Understanding Dynamic Typing
• Working with Functions
• Python Code Execution
• Basic Input / Output
• String Operations
• Working with Tuples and Lists
• Introducing Control Flow Statements

• Variable Scope
• Variable Parameters
• Default Values
• Positional Parameters
• Keyword Parameters
• Introducing Lambdas
• Exception Handling

• Creating Classes in Python
• Classes are Namespaces
• Constructors
• Self and Instances
• Class Variables
• List Comprehensions
• Advance Python Modules
• Default Values
• Positional Parameters
• Keyword Parameters
• Introducing Lambdas
• Exception Handling

Introduction to the Internet of Things (IoT)

• Concept and definitions
  • Embedded Systems, Computer Networks, M2M (Machine to Machine Communication), Internet of Everything (IoE), Machine Learning, Distributed Computing, Artificial Intelligence, Industrial automation
  • Interoperability, Identification, localization, Communication, Software Defined Assets
• Understanding IT and OT convergence: Evolution of IIoT & Industry 4.0
• IoT Adoption
  • Market statistics, Early adopters, Roadmap
• Business opportunities: Product + Service model
  • Development, deployment, and monetization of applications as service
• Use cases

Concept of Data, Information, Knowledge, and Wisdom

• Knowledge discovery process
• DIKW pyramid and relevance with IoT
• Microcontrollers: cost, performance, and power consumption
  • Commercial microcontroller based development boards
  • Selection criteria and tradeoffs
• Industrial networks, M2M networks

Sensor Data Mining and Analytics

• Transducer: Sensor and Actuator
  • Sensors – Types of sensors, sampling, analog to digital conversion, selection criteria of sensor and ADC
• Data acquisition, storage, and analytics
• Signals and systems
  • Signal processing, systems classification, sampling theorem, ensuring quality and consistency of data
• Real-time analytics
  • Understanding fundamental nuances between IoT and Big Data
  • Usage of IoT data in various business domains to gain operational efficiency
• Edge analytics
  • Data Aggregation on Edge gateway
• Wireless Sensor Area Networks (WSAN): Evolution of M2M and IoT networks and technologies
  • Sensor Nodes
    • Sensor node architecture
  • WSN/M2M communication technologies
    • Bluetooth, Zigbee, and WiFi communication technologies
    • Cellular communication and LPWAN (LoRa and LoRaWAN) technologies
  • Topologies
  • Applications
• Design and Development of IoT systems
  • IoT reference architectures
    • Standardization initiatives
    • Interoperability issues
  • IoT design considerations
    • Architectures Device, Network, and Cloud
    • Centralized vs distributed architectures
  • Networks, communication technologies, and protocols
  • Smart asset management: Connectivity, Visibility, Analytics, Alerts
• Cloud Computing and Platforms
  • Public, Private and Hybrid cloud platforms and deployment strategy
  • Industrial Gateways
    • Commercial Gateways solutions from various vendors
    • Cloud-based Gateway solutions
  • IaaS, SaaS, PaaS models
  • Cloud components and services
    • Device Management, Databases, Visualization, Reporting, Notification/Alarm management, Security management, Cloud resource monitoring, and management
  • Example Platforms: ThingSpeak, Pubnub, AWS IoT
    • AWS IoT Services
      • Device Registry
      • Authentication and Authorization
      • Device Gateway
      • Rules Engine
      • Device Shadow
    • IoT security
      • Standards and Best practices
        • Common vulnerabilities
        • Attack Surfaces
        • Hardware and Software solutions
        • Open source initiatives
      • Analytics
        • Descriptive, Diagnostic, Predictive and Prescriptive
        • Analytics using Python advance packages: NumPy, SciPy, Matplotlib, Pandas, and Sci-kit learn
      • Case studies and roadmap
        • Cold chain monitoring
        • Asset tracking using RFID and GPRS/GPS

• Programming microcontrollers (Arduino, NodeMCU)
• Building HTTP and MQTT based M2M networks
• Interfacing Analog and Digital sensors with microcontroller to learn real-time data acquisition, storage, and analysis on IoT endpoints and edges
• An interfacing SD card with a microcontroller for data logging on IoT end devices using SPI protocol
• Interfacing Real-time clock module with microcontrollers for time and date stamping using the I2C protocol
• Python exercises to check the quality of acquired data
• developing microcontroller-based applications to understand event-based real-time processing and in- memory computations
• Setting up Raspberry Pi as Gateway to aggregate data from thin clients
• Python programming on Raspberry Pi to analyze collected data
• GPIO programming using Python and remote monitoring/control
• Pushing collected data to cloud platforms
• Designing sensor nodes to collect multiple parameters (Temperature, Humidity, etc.)
• Uploading data on the local gateway as cache
• Uploading data on cloud platforms
• Monitoring and controlling devices using android user apps and Bluetooth interfaces
• Building wireless sensor networks using WiFi
• Sensor data uploading on the cloud using GSM/GPRS
• Device to device communication using LoRa modules
• Remote controlling machines using cloud-based apps
• Remote controlling machines using device-based apps through the cloud as an intermediate node
• Interfacing Raspberry Pi with AWS IoT Gateway service to exchange messages
• Interfacing Raspberry Pi with PUBNUB cloud to understand publish/subscribe architecture and MQTT protocol
• Data cleaning, subsetting, and visualization
• Set of python exercises to demonstrate descriptive and predictive analytics
• Case study/Use case:
  1. Environment Monitoring
  2. Health monitoring (Wearable)
  3. Asset performance monitoring

• IoT concepts revision
• Introduction to information and cybersecurity
• Basic terminologies
• Standards and open source initiatives
• CIA triads: effectively addressing security and privacy concerns
• Attack surfaces and vulnerabilities: Device, network, Gateway and Cloud
• Risk assessment and management
• Cryptography: Applications of Cryptography in IoT communication and data security
• Threat modeling
• Device security
  • Application Hardening
  • OS/platform hardening
  • Physical security
• Gateway security
• Communication protocols and network security
  • Data link layer – Wireless communication technology security provisions
    • WiFi, Bluetooth, Zigbee, and 802.15.4 protocols
  • Application layer security
    • MQTT and HTTP protocols
  • Network hardening
• IoT cloud platforms
  • API and endpoint security
  • Security of data at rest
  • Standard security frameworks
  • Example platforms: AWS and Microsoft Azure