Information Technology is the study, design, development, implementation, support or management of computer-based information systems, particularly software applications and computer hardware.” IT deals with the use of electronic computers and computer software to convert, store, protect, process, transmit, and securely retrieve information.
information technology (IT) or information and communication technology (ICT) is the technology required for information processing. In particular the use of electronic computers and computer software to convert, store, protect, process, transmit, and retrieve information from anywhere, anytime.
Computer science, in every school I’ve ever seen, is programming. So its the study of algorithms, data structures, complexity theory, all the way down to learning what makes an operating system work. Its the science of computing, not the electrical engineering of the hardware, as some seem to think. That’s an entirely different topic.
Information technology is learning to use computers in business or in any practical application. While most schools require at least some basic programming courses for information technology, they don’t become programmers. It is simply so they understand, at a very basic level, what is involved behind the scenes.
Conclusion, information technology is learning to use technology in business.
Saturday, December 24, 2011
CS again??
This post will only introduce about computer science or most known as CS.
Computer science is interpreted broadly so as to include algorithms, data structures, computational complexity theory, distributed computation, parallel computation, VLSI, machine learning, computational biology, computational geometry, information theory, cryptography, quantum computation, computational number theory and algebra, program semantics and verification, automata theory, and the study of randomness. Work in this field is often distinguished by its emphasis on mathematical technique and rigor.
Computer science (academically, CS, CSC or compsci) encompasses a variety of topics that relates to computation, like abstract analysis of algorithms, formal grammars, and subjects such as programming languages, program design, software and computer hardware. A computer is one that computes, where com- (with, together) joins putare (Latin root, to reckon, to think, or section as in to compare pieces), so by definition, computer science (Latin: scientia, knowledge) is the accumulated knowledge through scientific methodology by computation or by the use of the computer. Computer scientists study what programs can and cannot do (see computability), how programs can efficiently perform specific tasks (see algorithms and complexity), how programs should store and retrieve specific kinds of information (see data structures and databases), how programs might behave intelligently (see artificial intelligence), and how programs and people should communicate with each other (see human-computer interaction and user interfaces). Most research in computer science has focused on von Neumann computers or Turing machines (computation models that perform one small, deterministic step at a time). These models resemble, at a basic level, most real computers in use today. Computer scientists also study other models of computation, which includes parallel machines and theoretical models such as probabilistic, oracle, and quantum computers.
More....
Computer science has roots in electrical engineering, mathematics, and linguistics. In the last third of the 20th century computer science emerged as a distinct discipline and developed its own methods and terminology. The first computer science department in the United States was founded at Purdue University in 1962, while the first college entirely devoted to computer science was founded at Northeastern University in 1980. Prior to this, CS was taught as part of mathematics or engineering departments, for instance at the University of Cambridge in England and at the Gdansk University of Technology in Poland, respectively. Cambridge claims to have the world’s oldest taught qualification in computing. Most universities today have specific departments devoted to computer science, while some conjoin it with engineering, with applied mathematics, or other disciplines.
Conclusion, computer science is learning to program applications
Computer science is interpreted broadly so as to include algorithms, data structures, computational complexity theory, distributed computation, parallel computation, VLSI, machine learning, computational biology, computational geometry, information theory, cryptography, quantum computation, computational number theory and algebra, program semantics and verification, automata theory, and the study of randomness. Work in this field is often distinguished by its emphasis on mathematical technique and rigor.
Computer science (academically, CS, CSC or compsci) encompasses a variety of topics that relates to computation, like abstract analysis of algorithms, formal grammars, and subjects such as programming languages, program design, software and computer hardware. A computer is one that computes, where com- (with, together) joins putare (Latin root, to reckon, to think, or section as in to compare pieces), so by definition, computer science (Latin: scientia, knowledge) is the accumulated knowledge through scientific methodology by computation or by the use of the computer. Computer scientists study what programs can and cannot do (see computability), how programs can efficiently perform specific tasks (see algorithms and complexity), how programs should store and retrieve specific kinds of information (see data structures and databases), how programs might behave intelligently (see artificial intelligence), and how programs and people should communicate with each other (see human-computer interaction and user interfaces). Most research in computer science has focused on von Neumann computers or Turing machines (computation models that perform one small, deterministic step at a time). These models resemble, at a basic level, most real computers in use today. Computer scientists also study other models of computation, which includes parallel machines and theoretical models such as probabilistic, oracle, and quantum computers.
More....
Computer science has roots in electrical engineering, mathematics, and linguistics. In the last third of the 20th century computer science emerged as a distinct discipline and developed its own methods and terminology. The first computer science department in the United States was founded at Purdue University in 1962, while the first college entirely devoted to computer science was founded at Northeastern University in 1980. Prior to this, CS was taught as part of mathematics or engineering departments, for instance at the University of Cambridge in England and at the Gdansk University of Technology in Poland, respectively. Cambridge claims to have the world’s oldest taught qualification in computing. Most universities today have specific departments devoted to computer science, while some conjoin it with engineering, with applied mathematics, or other disciplines.
Conclusion, computer science is learning to program applications
Computer science?? Information technology??
Most of us have been confused about computer science (CS) and information technology (IT). Many thought that computer science and information system are the same thing. Actually, there are two different things. Computer science is learning to program applications and the theory behind that. Information technology is learning to use technology in business.
“Computer Science” is the mixture and application of “Applied Mathematics”, “Electrical Engineering”, and “Complexity Theory/Algorithms” to understand and/or model information. In otherwords, the “field of computation”.
“Information Technology” is the mixture and application of “Programming”, “Hardware Administration”, “Software Administration”, “Networking”, “Network Security” and “Technical Support”. In otherwords, the “management of computers”.
There's a lot thing that make computer science and information technology differ from each other. So, don't make assumption, ok? You have to know that the words itself have its own meaning. Therefore, we cannot assume anything without a proper search about these. We have to take a closer look and understand what it is mean by CS and IT.
~Here is a link that some student talk about CS and IT. you may also learn that there's people who still confused about CS and IT. Follow this link: http://www.sitepoint.com/forums/showthread.php?722915-Student-Information-Technology-or-Computer-Science
“Computer Science” is the mixture and application of “Applied Mathematics”, “Electrical Engineering”, and “Complexity Theory/Algorithms” to understand and/or model information. In otherwords, the “field of computation”.
“Information Technology” is the mixture and application of “Programming”, “Hardware Administration”, “Software Administration”, “Networking”, “Network Security” and “Technical Support”. In otherwords, the “management of computers”.
There's a lot thing that make computer science and information technology differ from each other. So, don't make assumption, ok? You have to know that the words itself have its own meaning. Therefore, we cannot assume anything without a proper search about these. We have to take a closer look and understand what it is mean by CS and IT.
~Here is a link that some student talk about CS and IT. you may also learn that there's people who still confused about CS and IT. Follow this link: http://www.sitepoint.com/forums/showthread.php?722915-Student-Information-Technology-or-Computer-Science
Database concepts..
This section discusses a number of database concepts and is primarily intended for those who have had little or no experience of computer-based databases.
Databases
A database is structured collection of data. Thus, card indices, printed catalogues of archaeological artefacts and telephone directories are all examples of databases. Databases may be stored on a computer and examined using a program. These programs are often called `databases', but more strictly are database management systems (DMS). Just as a card index or catalogue has to be constructed carefully in order to be useful, so must a database on a computer. Similarly, just as there are many ways that a printed catalogue can be organised, there are many ways, or models, by which a computerised database may be organised. One of the most common and powerful models is the `relational' model (discussed below), and programs which use this model are known as relational database management systems (RDMS).Computer-based databases are usually organised into one or more tables. A table stores data in a format similar to a published table and consists of a series of rows and columns. To carry the analogy further, just as a published table will have a title at the top of each column, so each column in a database table will have a name, often called a field name. The term field is often used instead of column. Each row in a table will represent one example of the type of object about which data has been collected. Table 1(a) (p.
![[*]](https://lh3.googleusercontent.com/blogger_img_proxy/AEn0k_taKlCkL7_TgLZAu7gt9L2ks0drmJX13LEnykyTDfll16R60ovEWtHLC0x8hMgkEU13kuS9hjSd6-tkHyY2PzrJ1iuhFXvL8oQQXP7OOTzvM91Ui7VQ7CM2GGciIiPkHEmTRBE_Dg=s0-d)
) is a an example of a table from a database of English towns. Each row, in this case a town, is an entity, and each column represents an attribute of that entity. Thus, in this table `population' is an attribute of `town.' One advantage of computer-based tables is that they can be presented on screen in a variety of orders, formats, or according to certain criteria, all the towns in Hertfordshire, or all towns with a cathedral.
p/s:I get this from http://www.ucl.ac.uk/archaeology/cisp/database/manual/node1.html
More database??
In my last post, I get the info form this website. I give u link to this website..hope it can help you to know more about database..~~This website can help u to know about database design, analysis, SAAS solutions, master data solutions, careers, data consulting and a lot more.p/s:I find this blog is very useful.This is the link- Expert Database Solutions
Database in business???
Some says that database is life-blood of every business.Most of us does not know what is the use of database.Database is important if you want to become a successful businessman/woman...Actually database can provide a lot of things for us for example it can provide business analysis.Database design, database development, database analysis, data validation and data conversion services are also provided by database in business. If want to make a decision regarding your company, you need to take a look at the data that you have. You need to know that, data that you have is valid and when you make a decision, it won't harm your company.
Usually, people experienced problem with their database system. Either their system run too slow, or too old to use for storing data. Other problems are data appears differently in different system or screens, their database system are not available for twenty-four hours. This cause people to lost trust to their data. There are solutions to these problems. That it requires analysis of database structures, data relationships, sql queries, stored procedures and data. Analysis of data can be through analysis of data itself and also analysis of system that access data in database.
Large business need a lot of data and it tends to become duplicated in disparate data silos. This will result in redundancy, questionable of data validity and lead to unforgivable and unfavourable decisions in economy and also to the company. Therefore, integrated and clean view of data will increase insight and trust in data. It will also eliminate the need of manual data compilation. It's such an old fashion..
I got this info from Expert Database Solutions
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