Computational thinking, problem-solving and programming: Difference between revisions

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[[file:computation.png|right|frame|Computational thinking, problem-solving and programming<ref>http://www.flaticon.com/</ref>]]
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   [[File:Exclamation.png]] This is one of '''the most important ideas''' you can take with you:  
   [[File:Exclamation.png]] This is one of '''the most important ideas''' you can take with you:  
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   '''Decompose a problem into smaller parts, model a problem with flowcharts.'''
   '''Decompose a problem into smaller parts, model a problem with flowcharts.'''
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Computational Thinking (CT) is a process that generalizes a solution to open-ended problems. Open-ended problems encourage full, meaningful answers based on multiple variables, which require using decomposition, data representation, generalization, modeling, and algorithms found in Computational Thinking. Computational Thinking requires the decomposition of the entire decision making process, the variables involved, and all possible solutions, ensuring that the right decision is made based on the corresponding parameters and limitations of the problem. The term computational thinking was first used by Seymour Papert in 1980[1] and again in 1996.[2] Computational thinking can be used to algorithmically solve complicated problems of scale, and is often used to realize large improvements in efficiency<ref>https://en.wikipedia.org/wiki/Computational_thinking</ref>
Computational Thinking (CT) is a process that generalizes a solution to open-ended problems. Open-ended problems encourage full, meaningful answers based on multiple variables, which require using decomposition, data representation, generalization, modeling, and algorithms found in Computational Thinking. Computational Thinking requires the decomposition of the entire decision making process, the variables involved, and all possible solutions, ensuring that the right decision is made based on the corresponding parameters and limitations of the problem. The term computational thinking was first used by Seymour Papert in 1980[1] and again in 1996.[2] Computational thinking can be used to algorithmically solve complicated problems of scale, and is often used to realize large improvements in efficiency<ref>https://en.wikipedia.org/wiki/Computational_thinking</ref>

Revision as of 13:33, 12 April 2016

Computational thinking, problem-solving and programming[1]

Exclamation.png This is one of the most important ideas you can take with you:

Decompose a problem into smaller parts, model a problem with flowcharts.

Computational Thinking (CT) is a process that generalizes a solution to open-ended problems. Open-ended problems encourage full, meaningful answers based on multiple variables, which require using decomposition, data representation, generalization, modeling, and algorithms found in Computational Thinking. Computational Thinking requires the decomposition of the entire decision making process, the variables involved, and all possible solutions, ensuring that the right decision is made based on the corresponding parameters and limitations of the problem. The term computational thinking was first used by Seymour Papert in 1980[1] and again in 1996.[2] Computational thinking can be used to algorithmically solve complicated problems of scale, and is often used to realize large improvements in efficiency[2]

The big ideas in system fundamentals[edit]

Systems in Organizations[edit]

A computer program or computer system is used by people who work in organizations. It is very helpful to understand how people, computers, and organizations work together.

Planning and system installation[edit]

User Focus[edit]

System Backup[edit]

Software Deployment[edit]

System Design[edit]

Components of a computer system[edit]

System Design and analysis[edit]

Human interaction with the system[edit]

References[edit]