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Computer science is the third most popular majors amongst international students coming to the United States. There are many reasons that computer science is so popular, including outstanding job security, remarkably high starting salaries, & diverse job opportunities across industries as well.

What is computer science?

In general terms, computer science is the study of computer technology, both hardware and software. However, computer science is a diverse field; the required skills are both applicable and in-demand across practically every industry in today's technology-dependent world. As such, the area of computer science is divided amongst a range of sub-disciplines, most of which are full-fledged specialised disciplines. The following subjects are there in Computer Science and Engineering besides the typical subjects that are taught to all branches in the first year.

DESIGN AND ANALYSIS OF ALGORITHMS

  • An Algorithm is an arrangement of steps to resolve a problem.
  • Design and Analysis of Algorithm are significant for designing an algorithm to resolve various types of issues in the branch of computer science and information technology.

DATA STRUCTURES

A data structure is a particular way of organising data in a computer so that it can be used effectively. The idea is to reduce the space and time complexities of different tasks.

DIGITAL ELECTRONICS

Digital Electronics is an Electronics that uses binary numbers of 1 and 0 to represent information.

  • Number Base System
  • Logic Operations
  • Mathematical Operations
  • Building Circuits with Breadboards

OBJECT-ORIENTED PROGRAMMING USING

C++/JAVA/PYTHON

The principal purpose of object-oriented programming is to implement real-world entities.For example: object, classes, abstraction, inheritance, polymorphism, etc.

C++ OBJECT-ORIENTED PROGRAMMING (OOPS)

C++ is a general purpose, case-sensitive, a free-form programming language that supports object-oriented, procedural and generic programming.

JAVA OOPS CONCEPTS

Object-Oriented Programming is a paradigm that offers many concepts such as inheritance, data binding, polymorphism, etc.

PYTHON OOPS CONCEPTS

Like other general purpose languages, python is also an object-oriented language since its starting. It allows us to create applications using an Object Oriented approach. In Python, we can easily create and use classes and objects.

MAIN PRINCIPLES OF OBJECT-ORIENTED PROGRAMMING SYSTEM ARE GIVEN BELOW.

  • Object
  • Class
  • Method
  • Inheritance
  • Polymorphism
  • Data Abstraction
  • Encapsulation

DISCRETE MATHEMATICAL STRUCTURES

  • Discrete mathematics is one of the parts of mathematics devoted to the study of distinct objects.
  • Why Study Discrete Mathematics?
    • There are several essential reasons for studying discrete mathematics.
    • Discrete Mathematics provides mathematical foundations for many comps. Science Courses including data structures, Algorithms, Database theory, Automata Theory, format languages, Compiler theory, computer security, operating Systems.
  • Also, discrete mathematics contains the necessary mathematical background for solving problems in operations research (including many distinct optimisation techniques), chemistry, engineering, biology, and so on.

OPERATING SYSTEMS

  • An operating system is a program that regulates the execution of application programs & acts as an interface between the user of a computer & the computer hardware.
  • A more common definition is that the operating system is the one program running at all times on the computer (usually called the kernel), with all else being application programs.

DATABASE MANAGEMENT SYSTEMS

  • A database management system (DBMS) is an accumulation of programs that enables you to stock, modify, and extract data from given data-base.
  • There are many other kinds of database management systems, varying from small systems that run on desktop computers to huge systems that run on mainframes.

COMPUTER SYSTEM ARCHITECTURE

  • A computer system is a machine that simplifies complicated tasks. It should maximise performance and reduce costs and power consumption as well. The different components in the Computer System Architecture are Input Unit, Output Unit, Storage Unit, Arithmetic Logic Unit, Control Unit etc.
  • The input data travels from the input unit to ALU. Similarly, the computed data travels from ALU to the output unit. The data continually moves from the storage unit to ALU and back again. This is because stored data is computed on before being saved again. The control unit controls all the other units as well as their data.

MICROPROCESSOR AND MICROCONTROLLERS

A microprocessor is known as an Integrated Circuit (IC) which has only the Central Processing Unit (CPU) inside it. They lack Random Access Memory (RAM), Read Only Memory (ROM), and other peripherals on the chip. Unlike microprocessors, microcontrollers possess a CPU along with RAM, ROM, and other peripherals on the same chip.

COMPUTER NETWORK

A computer network is a set of many computers linked together to share information & belongings.

Features

  • Share information from one computer to the other.
  • Prepare files & store them in one computer, access those files from the other computer(s) linked with the network.
  • Join a printer, scanner, or a fax machine to one computer within the network and let other computers of the network use the machines available over the network.

THEORY OF COMPUTATION

  • Automata theory (also termed as Theory of Computation) is a theoretical branch of Computer Science & Mathematics, which mainly deals with the logic of computation with respect to simple machines, referred to as automata.
  • The basic terminologies, which are essential and frequently used in Theory of Computation.: Symbols, Alphabets, String, Language.

ARTIFICIAL INTELLIGENCE:

  • Artificial Intelligence is a general term that implies the use of a computer to model and clone a creative attitude.
  • Research in AI focuses on the development & analysis of algorithms that learn and perform intelligent behaviour with minimal human intervention. 

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  • Database management system (DBMS)
  • Machine learning and natural computation
  • Distributed systems and networking
  • Operating systems and networking (OSNT)
  • Software methodology and engineering
  • Computer architecture and engineering (ARC)

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