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Computational thinking- the thought processes involved in formulating a problem and expressing its solution(s) in such a way that a computer—human or machine—can effectively carry out. Computational Thinking is an iterative process based on three stages.
Problem solving process- The process of working through details of a problem to reach a solution. Problem solving may include mathematical or systematic operations and can be a gauge of an individual's critical thinking skills.
Data- facts and statistics collected together for reference or analysis.
Information- facts provided or learned about something or someone.
Algorithm- a process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer.
Aggregate data- aggregate data are data combined from several measurements. When data are aggregated, groups of observations are replaced with summary statistics based on those observations. In a data warehouse, the use of aggregate data dramatically reduces the time to query large sets of data.
Discovery Data- in the context of IT, is the process of extracting actionable patterns from data. The extraction is generally performed by humans or, in certain cases, by artificial intelligence systems.
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It is false because if the margins, the space on the side of a paper, gets bigger, that means there is more emptiness and less space for text.
<span>PRAM- Phase-Change Random Access Memory</span>
