computer science assignment help uk

computer science assignment help uk

The Evolution of Computer Science: A Comprehensive Study

1. Introduction to Computer Science

In this introduction, I want to mention some of the principal aims of the discipline. A computer performs operations. It uses programs to do so and on computers. Programs are executed. Computer science aims to discover efficient algorithms, to design more efficient algorithms, and to prove that some problems do not have an efficient algorithm. I think that this is the most original aim of computer science. It defines the discipline more precisely than the other goals. This is why I have chosen it as the content of the text.

Computer science studies the problems involved in different areas of a subject. Whereas computer engineering, system analysis, algorithm analysis, and computer applications study the problems involved in the development of computer systems, computer science studies the problems in several disjoint areas.

In the following, I will use the term “computer” in the sense of an abstract device. It is this abstract device that executes programs rather than any physical object. The physical devices normally called “computers” are gadgets designed for this purpose and made of components that are not computers. The text will mention the physical devices only briefly.

2. Key Concepts and Theories in Computer Science

Computer science is a broad discipline. A computer has processes, memory, and a controller, and in addition, it internally processes data. Computer science is a science dedicated to the study of algorithms and data structures. It differs from other sciences studied data-based processing processes. Algorithms are determined to solve problems or to achieve goals. They can be solutions, or at least attempt to be, in several fields of intellectual interest. The emphasis is on the conceptual nature and the logical entanglement of any schema expression of rules that is the method of solving specific problems and completing specific tasks. The study of algorithmic language has a hierarchical structuring of algorithms and a framework of representations based on data memory and data processing exclusive of that the problem that leads to the solution. It thus corresponds to an autonomous study.

To understand the evolution of computer science, different essential concepts, theories, and definitions from various areas of the discipline must be mastered. This knowledge is mandatory for analyzing the scientific processes of the computer area. The computer science realm is vast, and this work is not intended to assemble everything related to it; however, important suggestions should be indicated. This chapter gives a mapping of the main concepts and theories used in the field of computer science. These basic concepts represent the intellectual tools that will be used during the development of this thesis. There are many ways to justify computer science; the most common is its unique capacity to mechanize the processing of intelligence supported by digital computers.

3. Applications and Impact of Computer Science

A computer has a unique ability to deal with a variety of data types and formats. For example, it can handle data and programs written in text mode and can process data in a digital or word mode, or data written in a sound or an image format as in a digitized sound or an image. Besides, it can process and display data formats ranging from tiny bit-wise graphics to high-definition real-life images. These features have widened the scope of the field of computer science with no limit assignable other than the limit imposed by the constraint and desires of the human mind to endless creativity. Computer science with its various applications has become an important discipline, not only to hardware and software professionals but also to professionals in several other fields. The increasing use of these capabilities of the computer has not only increased the pace of decision-making but has also facilitated quicker, cheaper preparation of a variety of documents, along with digitized auditory and visual information. It is now possible to present scientific concepts and ideas in much more effective ways. Moreover, increased computer’s ability to present non-numeric, symbolic information has influenced scientific progress in hitherto unrelated fields that span different scientific disciplines.

This section discusses the applications and impact of computer science in our life. Computer science is a rapidly evolving field. It has its impact in almost every area of life. The applications of computer science to commercial and scientific activities are numerous! In our daily activities ranging from hearing doorbells to getting some transactions done, we invariably use the numerous gadgets like fax machines, smart card readers, and several other things that are the offshoots of the advances in computer science. The growth of computer hardware and software together has greatly enhanced the sort of applications that can be adequately handled by computer systems. With the ever-increasing progress in computer technology, newer applications will present themselves to the end users. It was not long ago that the role of the computer was limited to its use as a sophisticated computing device primarily for solving business problems. Today the situation has undergone a sea change. The role of the computer has now grown from mere calculations on electronic spreadsheets to regard him as a savior and ally in the presentation, storage, retrieval, and accurate analyses of data collected from diverse sources and used for diverse purposes. The vastness of applications that can be related to the use of a computer is really befuddling.

4. Current Trends and Future Directions in Computer Science

Quantum Computing: Quantum technology has become well known due to the emergence of potentially practical machines that exploit quantum principles to solve problems that cannot be solved by everyday classical digital machines. The advent of potentially commercial quantum machines brings potential benefits to a large range of computing applications, particularly in cryptanalysis, optimization, and materials science. Quantum fields are primarily focused on quantum computing, quantum secure communications, and quantum sensing.

Automation: The engineering science and the economic scope of automation were well described by Briet in 1951.

The Internet of Things: The Internet of Things (IoT)—also called the Internet of Objects—is a network setup involving a number of physical objects that are fitted with sensors. These sensors are associated with a network that can be accessed remotely using Internet protocol. The features of using sensors and network connectivity provide increased value and increased accuracy and control. Use cases include in automotive and transportation infrastructure, healthcare, building and home automation, robotics, manufacturing, and environmental monitoring, but it is seen as requiring significant future development.

Big Data: The term “big data” refers to data that both increases in quantity and requires deeper information. The processing capabilities of existing databases are unable to handle that volume of data. Generally, big data is from new data sources and is characterized by having two key features: they have a large digital volume and they have high-velocity information. The term “big data” requires information management for availability and integrity, data validation, format integrity, storage deduplication, and data protection.

The following are some of the essential trends in computer science observed by researchers over the past few decades.

4.1 Current trends in computer science