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Curriculum

 

Business Overview of Why IoT is so important:

  • Case Studies from Nest, CISCO and top industries

  • IoT adaptation rate in North American & and how they are aligning their future business model and operation around IoT

  • Broad Scale Application Area

  • Smart House and Smart City

  • Industrial Internet

  • Smart Cars

  • Wearables

  • Home Healthcare

  • Business Rule Generation for IoT

  • 3 layered architecture of Big Data — Physical (Sensors), Communication , and Data Intelligence

Introduction of IoT: All about Sensors – Electronics:

  • Basic function and architecture of a sensor — sensor body, sensor mechanism, sensor calibration, sensor maintenance, cost and pricing structure, legacy and modern sensor network — all the basics about the sensors

  • Development of sensor electronics — IoT vs legacy, and open source vs traditional PCB design style

  • Development of sensor communication protocols — history to modern days. Legacy protocols like

  • Modbus, relay, HART to modern day Zigbee, Zwave, X10,Bluetooth, ANT, etc.

  • Business driver for sensor deployment — FDA/EPA regulation, fraud/tempering detection, supervision, quality control and process management

  • Different Kind of Calibration Techniques — manual, automation, infield, primary and secondary calibration — and their implication in IoT

  • Powering options for sensors — battery, solar, Witricity, Mobile and PoE

  • Hands on training with single silicon and other sensors like temperature, pressure, vibration, magnetic field, power factor etc.

Fundamental of M2M communication — Sensor Network and Wireless protocol:

  • What is a sensor network? What is ad-hoc network?

  • Wireless vs. Wireline network

  • WiFi- 802.11 families: N to S — application of standards and common vendors.

  • Zigbee and Zwave — advantage of low power mesh networking. Long distance Zigbee. Introduction to different Zigbee chips.

  • Bluetooth/BLE: Low power vs high power, speed of detection, class of BLE. Introduction of Bluetooth vendors & their review.

  • Creating network with Wireless protocols such as Piconet by BLE

  • Protocol stacks and packet structure for BLE and Zigbee

  • Other long distance RF communication link

  • LOS vs NLOS links

  • Capacity and throughput calculation

  • Application issues in wireless protocols — power consumption, reliability, PER, QoS, LOS

  • Hands on training with sensor network

  • 1. PICO NET- BLE Base network

  • 2. Zigbee network-master/slave communication

  • 3. Data Hubs : MC and single computer ( like Beaglebone ) based datahub

Review of Electronics Platform, production and cost projection:

  • PCB vs FPGA vs ASIC design-how to take decision

  • Prototyping electronics vs Production electronics

  • QA certificate for IoT- CE/CSA/UL/IEC/RoHS/IP65: What are those and when needed?

  • Basic introduction of multi-layer PCB design and its workflow

  • Electronics reliability-basic concept of FIT and early mortality rate

  • Environmental and reliability testing-basic concepts

  • Basic Open source platforms: Arduino, Raspberry Pi, Beaglebone, when needed?

  • RedBack, Diamond Back

Conceiving a new IoT product- Product requirement document for IoT:

  • State of the present art and review of existing technology in the market place

  • Suggestion for new features and technologies based on market analysis and patent issues

  • Detailed technical specs for new products- System, software, hardware, mechanical, installation etc.

  • Packaging and documentation requirements

  • Servicing and customer support requirements

  • High level design (HLD) for understanding of product concept

  • Release plan for phase wise introduction of the new features

  • Skill set for the development team and proposed project plan -cost & duration

  • Target manufacturing price

Introduction to Mobile app platform for IoT:

  • Protocol stack of Mobile app for IoT

  • Mobile to server integration –what are the factors to look out

  • What are the intelligent layer that can be introduced at Mobile app level ?

  • iBeacon in IoS

  • Window Azure

  • Linkafy Mobile platform for IoT

  • Axeda

  • Xively

Machine learning for intelligent IoT:

  • Introduction to Machine learning

  • Learning classification techniques

  • Bayesian Prediction-preparing training file

  • Support Vector Machine

  • Image and video analytic for IoT

  • Fraud and alert analytic through IoT

  • Bio –metric ID integration with IoT

  • Real Time Analytic/Stream Analytic

  • Scalability issues of IoT and machine learning

  • What are the architectural implementation of Machine learning for IoT

Analytic Engine for IoT:

  • Insight analytic

  • Visualization analytic

  • Structured predictive analytic

  • Unstructured predictive analytic

  • Recommendation Engine

  • Pattern detection

  • Rule/Scenario discovery — failure, fraud, optimization

  • Root cause discover

Security in IoT implementation:

  • Why security is absolutely essential for IoT

  • Mechanism of security breach in IOT layer

  • Privacy enhancing technologies

  • Fundamental of network security

  • Encryption and cryptography implementation for IoT data

  • Security standard for available platform

  • European legislation for security in IoT platform

  • Secure booting

  • Device authentication

  • Firewalling and IPS

  • Updates and patches

Database implementation for IoT : Cloud based IoT platforms:

  • SQL vs NoSQL-Which one is good for your IoT application

  • Open sourced vs. Licensed Database

  • Available M2M cloud platform

  • Axeda

  • Xively

  • Omega

  • NovoTech

  • Ayla

  • Libellium

  • CISCO M2M platform

  • AT &T M2M platform

  • Google M2M platform

A few common IoT systems:

  • Home automation

  • Energy optimization in Home

  • Automotive-OBD

  • IoT-Lock

  • Smart Smoke alarm

  • BAC ( Blood alcohol monitoring ) for drug abusers under probation

  • Pet cam for Pet lovers

  • Wearable IOT

  • Mobile parking ticketing system

  • Indoor location tracking in Retail store

  • Home health care

  • Smart Sports Watch

Big Data for IoT:

  • 4V- Volume, velocity, variety and veracity of Big Data

  • Why Big Data is important in IoT

  • Big Data vs legacy data in IoT

  • Hadoop for IoT-when and why?

  • Storage technique for image, Geospatial and video data

  • Distributed database

  • Parallel computing basics for IoT

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