小學英語關於計算機的閱讀

㈠ 關於計算機的英語作文

【要求】

在一次主題為「電腦時代」的學校徵文活動中，你計劃以「The Computer」為題寫一篇文章參加評選，你的輔導老師幫助你制訂了一個寫作綱要，如下：

計算機正廣泛被用於各行各業。

在過去的五十年中，計算機得到了迅猛的發展。

計算機最終還是由人來設計和控制。

【範文】

The Computer

The computer is widely used in all phases of society. In instry, business, ecation, medicine, nearly all walks of life, computers have made their appearance, providing great speed and accuracy for our work. Computers have been used in the home, offices, laboratories and research institutions, functioning as the most efficient and versatile instruments for calculating, sorting, filing, recording and distributing. Computers are indispensable to modern civilization. Without computers, our life and our society will undoubtedly suffer a big regression.

During the past five decades the computer has been rapidly advanced. Ever since the computer came into being, it has experienced the development of several generations, which are based respectively on vacuum tube, transistor and integrated circuit. Early computers were of great size, and had no match for the latest electronic computers in speed and accuracy. The Latter is capable of processing the most complicated information and reaching solution to problems in a fraction of time. At present, efforts are being made not only to bring the hardware to perfection, but also to improve the quality of the software.

作文的內容千變萬化，這就要求我們豐富自己的知識，特別是各行業的最新動態。只有這樣，才能自如地處理各種題材和內容。

Computers must be instructed and programmed by people. In spite of the remarkable skill of the computer, men can never become its slave. Computers are not creative. They work according to men's instructions. So the development of computers and their use will depend upon the ingenuity of men. Although there are times when computers seem to operate like a mechanical 「brain」,their achievements are not comparable to what the minds of men are able to do
給分吧

㈡ 關於電腦的英語小短文閱讀練習

At two weeks of age, he was moved outdoors.

㈢ 關於計算機的英語小短文，帶翻譯。急需。各位幫幫忙。

computer is a machine that manipulates data according to a list of instructions.

The first devices that resemble modern computers date to the mid-20th century (1940–1945), although the computer concept and various machines similar to computers existed earlier. Early electronic computers were the size of a large room, consuming as much power as several hundred modern personal computers(PC).[1] Modern computers are based on tiny integrated circuits and are millions to billions of times more capable while occupying a fraction of the space.[2] Today, simple computers may be made small enough to fit into a wristwatch and be powered from a watch battery. Personal computers, in various forms, are icons of the Information Age and are what most people think of as "a computer"; however, the most common form of computer in use today is the embedded computer. Embedded computers are small, simple devices that are used to control other devices — for example, they may be found in machines ranging from fighter aircraft to instrial robots, digital cameras, and children's toys.

有道翻譯：
計算機是一種機器操作數據根據指令的列表

第一個設備,像現代計算機日期到20世紀中葉(1940 - 1945),盡管計算機概念和各種設備類似電腦以前。早期的電子計算機是一個大房間的大小,消耗更多的能源為幾百現代個人電腦(PC)。[1]現代電腦都基於微型集成電路和有數百萬到數十億倍,更有能力,同時佔用空間的一小部分。[2]今天,簡單的電腦可以小到足以放進一個手錶和從一個手錶電池供電。個人電腦,以不同的形式,是信息時代的象徵,是很多人認為的「電腦」;然而,最常見的計算機在使用今天是嵌入式計算機。嵌入式電腦雖小,簡單的設備,用於控制其他設備——例如,它們可能被發現

㈣ 關於計算機的英語文章

Computer Science

Computer science (or computing science) is the study of the theoretical foundations of information and computation, and of practical techniques for their implementation and application in computer systems. It is frequently described as the systematic study of algorithmic processes that describe and transform information. According to Peter J. Denning, the fundamental question underlying computer science is, "What can be (efficiently) automated?" Computer science has many sub-fields; some, such as computer graphics, emphasize the computation of specific results, while others, such as computational complexity theory, study the properties of computational problems. Still others focus on the challenges in implementing computations. For example, programming language theory studies approaches to describing computations, while computer programming applies specific programming languages to solve specific computational problems, and human-computer interaction focuses on the challenges in making computers and computations useful, usable, and universally accessible to people.

The general public sometimes confuses computer science with vocational areas that deal with computers (such as information technology), or think that it relates to their own experience of computers, which typically involves activities such as gaming, web-browsing, and word-processing. However, the focus of computer science is more on understanding the properties of the programs used to implement software such as games and web-browsers, and using that understanding to create new programs or improve existing ones.

History

The early foundations of what would become computer science predate the invention of the modern digital computer. Machines for calculating fixed numerical tasks, such as the abacus, have existed since antiquity. Wilhelm Schickard built the first mechanical calculator in 1623. Charles Babbage designed a difference engine in Victorian times helped by Ada Lovelace. Around 1900, punch-card machines were introced. However, all of these machines were constrained to perform a single task, or at best some subset of all possible tasks.

During the 1940s, as newer and more powerful computing machines were developed, the term computer came to refer to the machines rather than their human predecessors. As it became clear that computers could be used for more than just mathematical calculations, the field of computer science broadened to study computation in general. Computer science began to be established as a distinct academic discipline in the 1950s and early 1960s, with the creation of the first computer science departments and degree programs. Since practical computers became available, many applications of computing have become distinct areas of study in their own right.

Although many initially believed it impossible that computers themselves could actually be a scientific field of study, in the late fifties it graally became accepted among the greater academic population. It is the now well-known IBM brand that formed part of the computer science revolution ring this time. IBM (short for International Business Machines) released the IBM 704 and later the IBM 709 computers, which were widely used ring the exploration period of such devices. "Still, working with the IBM [computer] was frustrating...if you had misplaced as much as one letter in one instruction, the program would crash, and you would have to start the whole process over again". During the late 1950s, the computer science discipline was very much in its developmental stages, and such issues were commonplace.

Time has seen significant improvements in the usability and effectiveness of computer science technology. Modern society has seen a significant shift from computers being used solely by experts or professionals to a more widespread user base.

Major Achievements

Despite its relatively short history as a formal academic discipline, computer science has made a number of fundamental contributions to science and society. These include:

Started the "digital revolution", which includes the current Information Age and the Internet.
A formal definition of computation and computability, and proof that there are computationally unsolvable and intractable problems.
The concept of a programming language, a tool for the precise expression of methodological information at various levels of abstraction.
In cryptography, breaking the Enigma machine was an important factor contributing to the Allied victory in World War II.
Scientific computing enabled advanced study of the mind, and mapping the human genome became possible with Human Genome Project. Distributed computing projects such as Folding@home explore protein folding.
Algorithmic trading has increased the efficiency and liquidity of financial markets by using artificial intelligence, machine learning, and other statistical and numerical techniques on a large scale.

Fields of Computer Science

As a discipline, computer science spans a range of topics from theoretical studies of algorithms and the limits of computation to the practical issues of implementing computing systems in hardware and software. The Computer Sciences Accreditation Board (CSAB) – which is made up of representatives of the Association for Computing Machinery (ACM), the Institute of Electrical and Electronics Engineers Computer Society, and the Association for Information Systems – identifies four areas that it considers crucial to the discipline of computer science: theory of computation, algorithms and data structures, programming methodology and languages, and computer elements and architecture. In addition to these four areas, CSAB also identifies fields such as software engineering, artificial intelligence, computer networking and communication, database systems, parallel computation, distributed computation, computer-human interaction, computer graphics, operating systems, and numerical and symbolic computation as being important areas of computer science.

Theoretical Computer Science

The broader field of theoretical computer science encompasses both the classical theory of computation and a wide range of other topics that focus on the more abstract, logical, and mathematical aspects of computing.

Theory of Computation

The study of the theory of computation is focused on answering fundamental questions about what can be computed, and what amount of resources are required to perform those computations. In an effort to answer the first question, computability theory examines which computational problems are solvable on various theoretical models of computation. The second question is addressed by computational complexity theory, which studies the time and space costs associated with different approaches to solving a computational problem.

The famous "P=NP?" problem, one of the Millennium Prize Problems, is an open problem in the theory of computation.

Relationship with Other Fields

Despite its name, a significant amount of computer science does not involve the study of computers themselves. Because of this, several alternative names have been proposed. Certain departments of major universities prefer the term computing science, to emphasize precisely that difference. Danish scientist Peter Naur suggested the term datalogy, to reflect the fact that the scientific discipline revolves around data and data treatment, while not necessarily involving computers. The first scientific institution to use the term was the Department of Datalogy at the University of Copenhagen, founded in 1969, with Peter Naur being the first professor in datalogy. The term is used mainly in the Scandinavian countries. Also, in the early days of computing, a number of terms for the practitioners of the field of computing were suggested in the Communications of the ACM – turingineer, turologist, flow-charts-man, applied meta-mathematician, and applied epistemologist. Three months later in the same journal, comptologist was suggested, followed next year by hypologist. The term computics has also been suggested. Informatik was a term used in Europe with more frequency.

The renowned computer scientist Edsger Dijkstra stated, "Computer science is no more about computers than astronomy is about telescopes." The design and deployment of computers and computer systems is generally considered the province of disciplines other than computer science. For example, the study of computer hardware is usually considered part of computer engineering, while the study of commercial computer systems and their deployment is often called information technology or information systems. However, there has been much cross-fertilization of ideas between the various computer-related disciplines. Computer science research has also often crossed into other disciplines, such as cognitive science, economics, mathematics, physics (see quantum computing), and linguistics.

Computer science is considered by some to have a much closer relationship with mathematics than many scientific disciplines, with some observers saying that computing is a mathematical science. Early computer science was strongly influenced by the work of mathematicians such as Kurt Gödel and Alan Turing, and there continues to be a useful interchange of ideas between the two fields in areas such as mathematical logic, category theory, domain theory, and algebra.

The relationship between computer science and software engineering is a contentious issue, which is further muddied by disputes over what the term "software engineering" means, and how computer science is defined. David Parnas, taking a cue from the relationship between other engineering and science disciplines, has claimed that the principal focus of computer science is studying the properties of computation in general, while the principal focus of software engineering is the design of specific computations to achieve practical goals, making the two separate but complementary disciplines.

The academic, political, and funding aspects of computer science tend to depend on whether a department formed with a mathematical emphasis or with an engineering emphasis. Computer science departments with a mathematics emphasis and with a numerical orientation consider alignment computational science. Both types of departments tend to make efforts to bridge the field ecationally if not across all research.

Computer Science Ecation

Some universities teach computer science as a theoretical study of computation and algorithmic reasoning. These programs often feature the theory of computation, analysis of algorithms, formal methods, concurrency theory, databases, computer graphics and systems analysis, among others. They typically also teach computer programming, but treat it as a vessel for the support of other fields of computer science rather than a central focus of high-level study.

Other colleges and universities, as well as secondary schools and vocational programs that teach computer science, emphasize the practice of advanced programming rather than the theory of algorithms and computation in their computer science curricula. Such curricula tend to focus on those skills that are important to workers entering the software instry. The practical aspects of computer programming are often referred to as software engineering. However, there is a lot of disagreement over the meaning of the term, and whether or not it is the same thing as programming.

㈤ 小學英語閱讀理解題及答案20篇

建議你上卓越買一本書：小學英語閱讀100篇天天練 /每日15分鍾（3-6年級），我的孩子用過，真的很不錯，你可以試試，祝你進步！

㈥ 求一篇關於計算機方面的英語文章。

網路搜索一下能有一大堆的，去一些論文的網站找吧，一定能找的到的！

㈦ 考研英語關系計算機使用的閱讀

科學家將發現使用計算機的一些方式.不能

㈧ 求一片英語小短文，關於計算機的利與弊的，要短的，網上最好沒出現過或難找的

Computers
Computers are changing our life. We can do a lot of things with a computer. Such as, to write articles, watch video CDs, play games and do office work. But the most important use of a computer is to join the Internet.We don』t need to leave home to borrow books from a library or to do shopping in a supermarket on line. Computers help us live a more convenient life.
計算機
計算機正改變著我們的生活。 我們能用計算機做很多事。 例如寫文章，看視頻CD，玩游戲，辦公等等。 但計算機的最重要的用途是訪問互聯網（Internet)。（通過網路）我們不用離開家就能去圖書館借書或到超級市場購物。 計算機為我們的生活提供了極大的便利。
For the disadvantages, we spend too more time on computers, children trapped in the Internet games. more serious, scientists have found that computers are somewhat harmful to our health.
Generally speaking, computer is very important to our modern life.
在缺點方面，我們在計算機上花費了大量的時間，孩子們沉湎於網路游戲（而荒廢了學業），更嚴重的，科學家已經發現計算機（幅射）在一定程度上是有害於我們的健康的。
總之，計算機對於我們現代生活非常重要。

㈨ 如果才能看懂和閱讀計算機英語的文章或網站（翻譯大段英文）

1.所有專業英語都有自己的一套詞彙，（包括計算機英語）不過數目不太多
2.最基礎內的，其實以往容的教育就有問題，如果看的頻繁，只要有4級基礎足夠了，關鍵是要頻繁地接觸專業詞彙，不然一段時間不用就忘了，當然，如果是頻繁使用，自然也就會了。你想看懂什麼網站的內容，就經常去上，上過一段時間英文就不是問題了。
3.這個不需要，語法有高中語法就夠了，科技英語一般都是被動語態，長句子你會一點句子分析，分清主謂賓就行了
4.不知道你是計算機哪個專業的，所謂術業有專攻，你先讀點總括的基礎教材（英文的），然後讀點自己專業領域的英文教材，自然就都知道了。

㈩ 關於計算機的英語短文

Computers have brought about many changes in our world. With the devek,pment of science and technology, the use of eleclronic computers is growing year by year in various fields of man' s activities. They have been of great help in scietific rescarch and engi neering They can do at a very high speed the calculations too complicated for a man to do in a few days or even in a few years.
Once it is given a plogram, a computer can operate automatically at a high speed. Not only can the computer gather facts.it call aim store them as fast as they are gathered and can pour them our whenever they are needed.
However, computers are not replacing us. Even though computers are taking over some of the tasks their were once accomplished by our own brains, they are nothing but machines. They will never take the place of man.
計算機
計算機給我們的世界帶來了許多變化，隨著科學技術的發展，計算機在人類活動的各個領域中的使用年年增長，計算機對科學研究和工程學幫助很大，它們能以很快的速度運算，這些運算很復雜，要用人工運算需要幾天甚至是幾年。
一旦設計出程序，計算機可以以極高的速度自動運算。計算機不但可以搜集資料，而且可以貯存資料，不管什麼時候需要這些資料都可以調出來。
但是計算機不會代替人。盡管計算機正在接替一度用我們自己的大腦去完成的工作，但是它們只不過是機器而已，它們決不會代替人。