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Welcome to Infotechloco, your directory for information technology data. Here you will tons of information
concerning, IT audits, computer fraud, cryptology, defensive programming, security engineering, and much more
For information on medical science and technology.
| IT Area | IT Area Description |
|---|---|
| IT Audits | An Information technology audit (or IT audit) is a review of the controls within an entity's technology infrastructure. These reviews are typically performed in conjunction with a financial statement audit, internal audit review, or other form of attestation engagement. Formerly called an Electronic data processing (EDP) audit, an IT audit is the process of collecting and evaluating evidence of an organization's information system, practices, and operations. Evaluation of the evidence ensures whether the organization's information system safeguards assets, maintains data integerity, and is operating effectively and efficiently to achieve the organization's goals. |
| The Dark Side of IT | The purpose of this page is to explore case studies in using Information Technology to commit fraud. Computer fraud is the act of using a computer to commit fraud. Computer fraud is a criminal offense punishable by jail time and fines under the Computer Fraud and Abuse Act. |
| Computer Security | Computer security is the effort to create a secure computing platform, designed so that agents (users or programs) can only perform actions that have been allowed. This involves specifying and implementing a security policy. The actions in question can be reduced to operations of access, modification and deletion. Computer security can be seen as a subfield of security engineering, which looks at broader security issues in addition to computer security. |
| Professional Organizations | List of professional organizations that specialize in the information technology industry such as Association for Computing Machinery, British Computer Society, Association for Survey Computing, Institute of Electrical & Electronics Engineer, and International Electrotechnical Commission. |
Programming Encyclopedia A programmer writes source code in a particular programming language.
Different programming languages support different styles of programming (called programming paradigms). Part of the art of programming is selecting one of the programming languages best suited for the task at hand. Different programming languages require different levels of detail to be handled by the programmer when implementing algorithms, often resulting in a compromise between ease of use and performance (a trade-off between "programmer time" and "computer time"). The only programming language a computer can directly execute is machine language (sometimes called "machine code"). Originally all programmers worked out every detail of the machine code, but this is hardly ever done anymore. Instead, programmers write source code, and a computer (running a compiler, an interpreter or occasionally an assembler) translates it through one or more translation steps to fill in all the details, before the final machine code is executed on the target computer. Even when complete low-level control of the target computer is required, programmers write assembly language, whose instructions are mnemonic one-to-one transcriptions of the corresponding machine language instructions. In some languages, an interpretable p-code binary (or byte-code) is generated, rather than machine language. Bytecode is used in the popular Java programming language by Sun Microsystems as well as Microsoft's recent .NET family of languages and Visual Basic previous to the .NET version |
Computing Encyclopedia Originally, the word computing was synonymous with counting and calculating, and a science that deals with the original sense of computing mathematical calculations.
The following definition of computing is given in the ACM report Computing As a Discipline: The discipline of computing is the systematic study of algorithmic processes that describe and transform information: their theory, analysis, design, efficiency, implementation, and application. The fundamental question underlying all the computing is 'What can be (efficiently) automated?'
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