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IMPROVING PROBLEM-SOLVING SKILLS THROUGH ADAPTING PROGRAMMING TOOLS

机译:通过调整编程工具提高问题解决技巧

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There are numerous ways for engineers and students to become better problem-solvers. The use of command line and visual programming tools can help to model a problem and formulate a solution through visualization. The analysis of problem attributes and constraints provide insight into the scope and complexity of the problem. The visualization aspect of the problem-solving approach tends to make students and engineers more systematic in their thought process and help them catch errors before proceeding too far in the wrong direction. The problem-solver identifies and defines important terms, variables, rules, and procedures required for solving a problem. Every step required to construct the problem solution can be defined in program commands that produce intermediate output. This paper advocates improved problem solving skills through using a programming tool. MatLab, created by MathWorks, is an interactive numerical computing environment and programming language. It is a matrix-based system that easily lends itself to matrix manipulation and plotting of functions and data. MatLab can be used as an interactive command line or a sequence of commands that can be saved in a file as a script or named functions. Prior programming experience is not required to use MatLab. MatLab visual and command programming are presented here. The GNU Octave, part of the GNU project, a free computer program for performing numerical computations, is comparable to MatLab.
机译:工程师和学生有许多方式变得更好的问题解决方案。使用命令行和可视编程工具可以帮助模拟问题并通过可视化制定解决方案。问题属性和约束的分析提供了对问题的范围和复杂性的洞察力。解决问题的方法的可视化方面往往会使学生和工程师在他们的思想过程中更系统地进行系统,并在进行错误方向的情况下帮助他们捕获错误。问题 - 解算器标识并定义解决问题所需的重要术语,变量,规则和程序。构建问题解决方案所需的每个步骤都可以在生成中间输出的程序命令中定义。本文倡导使用编程工具提高问题解决技巧。 Matlab由MathWorks创建,是一个交互式数值计算环境和编程语言。它是一种基于矩阵的系统,可以轻松地利用矩阵操纵和绘制功能和数据。 MATLAB可以用作交互式命令行或可以在文件中保存为脚本或命名函数的命令序列。先前的编程经验不需要使用MATLAB。 MATLAB Visual和Command编程在此呈现。 GNU ockave是GNU项目的一部分,用于执行数值计算的免费计算机程序,与MATLAB相当。

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