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With the pace of technology moving so fast you need to keep up!  

Because the high-tech sector of the economy develops or uses the most advanced technology known, it is often seen as having the most potential for future growth. This perception has led to high investment in high-tech sectors of the economy. High-tech startup enterprises receive a large portion of venture capital. However, if, as has happened in the past, investment exceeds actual potential, then investors can lose all or most of their investment. High tech is often viewed as high-risk, but offering the opportunity for high profits.

Information Science or Informatics is the science of information. It is often, though not exclusively, studied as a branch of computer science and information technology and is related to database, ontology and software engineering.

Information science is primarily concerned with the structure, creation, management, storage, retrieval, dissemination and transfer of information. Information science also includes studying the application of information in organizations, on its usage and the interaction between people, organizations and information systems. Within information science attention has been given in recent years to human computer interaction (HCI) and to the ways people generate, use and find information.

Two definitions of Informatics taught in an introductory class at Indiana University Bloomington are "The Art, Science and Human Dimensions of IT" and "The study, application, and social consequences of technology." Informatics focuses on understanding problems and then applying information (and other) technology as needed. In other words, it tackles the problem first rather than technology first, as has been too often done in many areas, such as business and scientific research.



Bioinformatics
or computational biology is the use of mathematical and informational techniques, including statistics, to solve biological problems, usually by creating or using computer programs, mathematical models or both.

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).

"Computer science is no more about computers than astronomy is about telescopes."

"Computer science is not as old as physics; it lags by a couple of hundred years. However, this does not mean that there is significantly less on the computer scientist's plate than on the physicist's: younger it may be, but it has had a far more intense upbringing!"


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