MATERIALS FOR STUDENTS

  The world's newest programming languages Elixir: On the Erlang virtual machine (BEAM), Elixir is a functional, concurrent, general-purpose programming language. It was produced by José Valim and initially made available in 2011. Elixir is well-liked for creating distributed and fault-tolerant systems because of its productivity, scalability, and fault-tolerance properties. Here are some of Elixir's main attributes and ideas: 1.        Elixir emphasises immutability, pure functions, and data transformation because it adheres to the principles of functional programming. It promotes declarative programming in code. 2.     Scalability and Concurrency: Elixir is built to handle distributed and concurrent processing. It enables small lightweight processes (called "actors") that can manage millions of concurrent jobs effectively, communicate through message passing, and run in parallel. 3.   Erlang is the source of Elixir's fault tolerance. It promotes a "le

  Virtual Reality (VR) and Augmented Reality (AR) The goals of Virtual Reality (VR) and Augmented Reality (AR), two separate technologies, are to improve our perception of and interaction with the outside world. Virtual reality and augmented reality have been popular terms in the technological industry for more than ten years. But consumer goods utilising these cutting-edge technology advancements are still not commercially available. Our daily lives hardly involve virtual reality or augmented reality. Despite becoming well-known on the market, VR and AR are still relatively young technology in 2021. Virtual Reality (VR) : A simulated environment produced by computer technology is referred to as virtual reality. It isolates the user from their surroundings by engulfing them in a wholly virtual world. Wearing a head-mounted display (HMD) that covers the user's eyes and shows a stereoscopic 3D view of the virtual world is the standard method for experiencing VR. Additionally, it

  EDGE COMPUTING OVERVIEW: Edge computing is the decentralised technique of processing data and executing applications closer to the source of data generation, as opposed to depending on a centrally managed cloud infrastructure. Edge computing brings edge devices, such as Internet of Things (IoT) gadgets, sensors, or user gadgets, closer to computer resources, such as processing speed, storage capacity, and networking skills. The central cloud server receives data from edge devices as part of the traditional cloud computing model for processing and analysis. With the growth of IoT and the desire for low-latency applications and real-time data processing, edge computing has emerged as a solution to these issues. Edge computing offers various advantages by bringing computer power closer to the edge: Reduced latency: Edge computing cuts down on the amount of time data must travel back and forth between devices and the cloud by processing data locally at the edge. This is essential

  Quantum Computing OVERVIEW: The study of quantum physics and its application to computing is known as the field of quantum computing. It makes use of quantum bits, also known as qubits, which are the basic informational building blocks of quantum computing. Qubits can concurrently represent both a 0 and a 1 in contrast to traditional bits, which can only represent either a 0 or a 1. Due to this characteristic, quantum computers are able to complete some calculations much faster than conventional computers. Quantum parallelism is one of the most important aspects of quantum computing. A quantum computer may manipulate several qubits at once to carry out various computations in parallel because of the superposition property. Quantum computers are able to tackle some problems tenfold quicker than conventional computers thanks to this parallelism. Entanglement is another essential idea in quantum computing. A phenomenon known as entanglement occurs when qubits are so closely coupled

  OBJECT ORIENTED SOFTWARE ENGINEERING (OOSE) A methodology for building and creating software systems based on the ideas of object-oriented programming (OOP) is known as object-oriented software engineering. The use of objects—which are simply instances of classes—to represent and control data and behaviour within a system is highlighted. The following are some essential ideas and guidelines for object-oriented software engineering: Classes and objects: Classes contain data (attributes) and behaviour (methods), and objects are instances of those classes. The structure and behaviour of objects are determined by classes. Encapsulation: The idea of grouping data and methods into a class, masking internal workings, and presenting a clear interface for interacting with the object is known as encapsulation. The ability to create new classes based on existing classes and inherit their characteristics and methods is known as inheritance. It encourages the development of hierarchies of classes

 DEEP LEARNING INTERDUCTION:      Deep learning is a machine learning method that instructs computers to learn by doing what comes naturally to people. Driverless cars use deep learning as a vital technology to recognise stop signs and tell a pedestrian from a lamppost apart. It is essential for voice control on consumer electronics including hands-free speakers, tablets, TVs, and smartphones. Recently, deep learning has attracted a lot of interest, and for good reason. It is producing outcomes that were previously unattainable. INNER VIEW:      Artificial neural networks are the foundation of the machine learning subfield known as deep learning. It has the ability to recognise intricate links and patterns in data. We don't have to explicitly programme anything in deep learning. Due to improvements in processing power and the accessibility of massive datasets, it has grown in popularity recently. since it is built on deep neural networks (DNNs), often referred to as artificial