Trending Engineering Technologies



Trending Engineering Technologies and It's content:-

1.Machine Learning is the learning in which machine can learn by its
own without being explicitly programmed. It is an application of AI that provide the system the ability to automatically learn and improve from experience. Here we can generate a program by integrating input and output of that program.

Syllabus-
  • Introduction
  • What is Machine Learning
  • Types and Applications of ML
  • AI vs ML
  • Essential Math for ML and AI
  • Introduction to Supervised Learning
  • Linear Methods for Classification
  • Linear Methods for Regression
  • Support Vector Machines
  • Basis Expansions
  • Model Selection Procedures
  • Introduction to Unsupervised Learning
  • Association Rules
  • Cluster Analysis
  • Reinforcement Learning
  • Introduction to Neural Networks
  • The Perceptron
  • The Backpropagation Algorithm
  • Training Procedures
  • Convolutional Neural Networks
  • Introduction to Real World ML
  • Choosing an Algorithm
  • Design and Analysis of ML Experiments
  • Common Software for ML
  • Setting up OpenAI Gym
  • Building and Training the Network

2.Quantum computing is the use of quantum-mechanical phenomena such as superposition and entanglement to perform computation. A quantum computer is used to perform such computation, which can be implemented theoretically or physically.

Syllabus-
  • Quantum Measurements Density Matrices
  • Positive-Operator Valued Measure
  • Fragility of quantum information:  Decoherence
  • Quantum Superposition and Entanglement
  • Quantum Gates and Circuits
  • No cloning theorem & Quantum Teleportation
  • Bell’s inequality and its implications
  • Quantum Algorithms & Circuits
  • Deutsch and Deutsch–Jozsa algorithms
  • Grover’s Search Algorithm
  • Quantum Fourier Transform
  • Shore’s Factorization Algorithm
  • Quantum Error Correction: Fault tolerance
  • Quantum Cryptography
  • Implementing Quantum Computing: issues of fidelity
  • Scalability in quantum computing
  • NMR Quantum Computing
  • Spintronics and QED approaches
  • Linear Optical Approaches
  • Nonlinear Optical Approaches
  • Limits of all the discussed approaches
3.AR and VR

Virtual Reality
This technology immerses users in a completely virtual environment that is generated by a computer. The most advanced VR experiences even provide freedom of movement – users can move in a digital environment and hear sounds. Moreover, special hand controllers can be used to enhance VR experiences.

Augmented Reality
In augmented reality, users see and interact with the real world while digital content is added to it. Think of Pokemon Go – millions of people all over the world have been rushing with their smartphones in search for small virtual creatures. That’s the most vivid example of augmented reality.

Syllabus-
  1. VR/AR Industry Overview and Case Studies
  • Enterprise, education, entertainment, medical
  1. VR Tools and Development Environments
  • Review of high-end and consumer headsets
  • Review of VR distribution environments
  • Review of MagicLeap and Hololens
  1. Editing and Creating 360 Photography and Video for VR/AR
  • Immersive storytelling
  • What is stereoscopic video
  • 360 Cameras introductions
  • Editing 360 video with Adobe Premiere
  • Exporting and embedding 360 video
  1. Introduction to Creating Virtual Environments in Unity
  • UNITY VR basics
  • How to create 3D models with BLENDER
  • Create a VR environment
  • Using light controls and physics
  • Exporting UNITY for Oculus Rift
  • Exporting UNITY VR experiences for the web
  1. Introduction to WebVR and A-Frame
  • A-Frame installation, elements, and components
  • Creating A-Frame Scenes
  • Using textures and cameras
  • Importing 3d models
  • Adding Animation
  1. Creating an Interactive VR Game with A-Frame
  • How the game will work
  • Installing a physics engine
  • Applying physics and interaction
  • Adding spatial sound
  • Hosting the game on the open web
  1. Creating an AR Avatar Using A-Frame
  • How AR works
  • Coding an AR application with A-Frame
  • Creating a custom marker
  • Adding interaction to your Avatar
  • Adding GeoLocation

4.The Internet of Things, or IoT, is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.

Syllabus-

1. Basics of IOT

  • What is IOT?
  • Network Architecture.
  • Device Architecture.
  • What is Embedded?
  • Why we used Embedded system in IOT.
  • Application of IOT.

2. Basic Hardware in IOT

  • Basic Electronics Components of IOT
  • LED
  • Resistors
  • Capacitors
  • Transistors
  • Relay
  • Switch
  • Diode
  • Zener Diode

3.Controller use in IOT

  • What is Arduino & ESP8266?
  • History of Arduino & ESP8266
  • Hardware and Software Description
  • Comparison between Arduino and ESP8266.
  • Programming Software

4. HANDS ON SESSION USING ARDUINO and ESP8266

  • Glow the LED
  • Different pattern of LED
  • Pull up and pull down condition of the switch
  • LED by switch
  • LED by two switch
  • Hello print on LCD
  • Different name pattern on LCD
Click for more

5. IOT Communication Protocols

  • Wireless Protocols (SPI, I2C, USART, UART, Modbus)
  • Networking Protocols(OSI Reference Model, TCP/IP, Ethernet)

6. IOT Communication Module

  • RF Module
  • Bluetooth module
  • GSM Module
  • LAN Module
  • Wifi Module
5. Blockchain is a time-stamped series of immutable record of data that is managed by the cluster of computers not owned by any single entity. Each of these blocks of data (i.e. block) are secured and bound to each other using cryptographic principles (i.e. chain).

Syllabus-
1.Introduction
●Evolution of Money
●Introduction to Blockchain

2. Cryptography
●Hash Functions
●Finite Fields and Elliptic Curves
●Elliptic Curve Cryptography
●Signing / Verifying Messages

3. Bitcoin

Basics
●Parsing Transactions
●Signing / Verifying Transactions
●Creating Transactions
●Script Parsing and Processing
●Address Construction / Private
Key WIF Format Construction
●Network Message Parsing

Blocks and Mining
●Parsing Blocks
●Validating PoW
●Target and Difficulty Calculation
●Merkle Tree Construction
●Merkle Proofs
●SegWit

Wallets and Clients
●Bitcoin Core API
●HD Wallets (BIP 32/39/44)

Smart Contract Pitfalls,
Testing and Debugging
●Dangers and Exploits
●Writing Tests
●Smart Contract Best Practices
●Formal Verification

4.Scaling Solutions
●Payment and State Channels
●The Lightning Network
●Developing a LApp
●Ethereum Plasma

5. Advanced Topics
●Privacy and Anonymity in
Blockchains
●PoS / DPoS
●Proof of Space-time
●Hyperledger / Private
Blockchains

6.Ethereum

Basics
●Smart Contracts
●Nodes
●Transactions
●Gas and Fees
●Ethereum Structure

Traditional and Decentralized
Applications
●Decentralized Application
Development
●Similarities and Differences
●Development Environment
Setup
●Key Developer Tools

Smart Contracts
●Introductory Smart Contracts
●Inter-Contract Execution
●Inheritance
●Libraries and the Ethereum

Package Manager
●Smart Contract System Design
Interaction with End Users
●Introduction to Web3
●Building Truffle for the Web
●Integrating with React
●Integrating with Metamask +
Infura




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