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Computer science 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.
data processing (or information processing)
Data processing refers to various data collecting, collating, sorting, storage, processing, and utilization, statistics, and so on a series of activities collectively. According to statistics, more than 80% of the computer is mainly used for data processing, this kind of workload bedding face, determines the wide application of computer leading direction. Data from simple to complex has experienced three stages of development, they are:
scientific computing (or numerical)
Scientific computing is refers to the use of computer science and technology in the calculation of the math problem. In the modern science and technology work, scientific computing problem is large and complex. Using the computer, large storage capacity calculation speed and continuous operation ability, can achieve what artificial cannot solve the problem of various scientific calculation. For example, in architectural design in order to determine the size of elastic mechanics, through a series of complex equation being derived, in a long time because of calculation method having been unable to follow. While the computer can not only solve this kind of equation, and the elastic theory caused a breakthrough, the finite element method.
Computer applications has penetrated into the society from all walks, changing the traditional work, study and life style, and promote the development of the society. The computer's main application fields are as follows:
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 webbrowsers, and using that understanding to create new programs or improve existing ones.
① the Electronic Data Processing, Data Processing objectives (abbreviation EDP file system).It is as a means of file system within the department of a single management. ② Management Management Information System (MIS).It is as a tool, database technology is a comprehensive management department to improve work efficiency.work e百度文库ficiency. ③Decision Support systems (DSS, referred to as daughter System). It is based on database, the model and method based on the library to help management decision makers toimprove the level of decision-making and to improve operation efficiency and accuracy of the strategy. At present, data processing has been widely used in office automation, enterprises and computer-aided management and decision-making, information retrieval, the library management, film and television animation design, accounting computerization etc industries. Information is formed independently of the industry, multimedia technology so that the information in the text, and is not only have musical sound and image information..
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.
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.
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.
data processing (or information processing)
Data processing refers to various data collecting, collating, sorting, storage, processing, and utilization, statistics, and so on a series of activities collectively. According to statistics, more than 80% of the computer is mainly used for data processing, this kind of workload bedding face, determines the wide application of computer leading direction. Data from simple to complex has experienced three stages of development, they are:
scientific computing (or numerical)
Scientific computing is refers to the use of computer science and technology in the calculation of the math problem. In the modern science and technology work, scientific computing problem is large and complex. Using the computer, large storage capacity calculation speed and continuous operation ability, can achieve what artificial cannot solve the problem of various scientific calculation. For example, in architectural design in order to determine the size of elastic mechanics, through a series of complex equation being derived, in a long time because of calculation method having been unable to follow. While the computer can not only solve this kind of equation, and the elastic theory caused a breakthrough, the finite element method.
Computer applications has penetrated into the society from all walks, changing the traditional work, study and life style, and promote the development of the society. The computer's main application fields are as follows:
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 webbrowsers, and using that understanding to create new programs or improve existing ones.
① the Electronic Data Processing, Data Processing objectives (abbreviation EDP file system).It is as a means of file system within the department of a single management. ② Management Management Information System (MIS).It is as a tool, database technology is a comprehensive management department to improve work efficiency.work e百度文库ficiency. ③Decision Support systems (DSS, referred to as daughter System). It is based on database, the model and method based on the library to help management decision makers toimprove the level of decision-making and to improve operation efficiency and accuracy of the strategy. At present, data processing has been widely used in office automation, enterprises and computer-aided management and decision-making, information retrieval, the library management, film and television animation design, accounting computerization etc industries. Information is formed independently of the industry, multimedia technology so that the information in the text, and is not only have musical sound and image information..
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.
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.