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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-computational-thinking/
课程评论：没有评论
Coursera《计算思维导论》课程总结： 本课程旨在教授学员计算思维的核心概念和技能。计算思维在现代社会解决问题和有效利用数据方面至关重要。它是一种通过以下方式解决问题的方法： * **明确详细的、分步的解决方案。** * **收集、表示和分析数据，以支持得出结论或做出决策。** * **运用多种技术提高问题解决方案的效率。** 课程内容涵盖了以下关键的计算思维主题： * **算法与程序** * **数据收集、表示和分析** * **问题分解** * **抽象** * **自动化** * **模拟** * **并行化** 课程总时长超过4.5小时，包含57个讲座。其中4个讲座包含主动学习活动，并提供13个额外的练习和主题理解检查，以帮助学员评估和提升计算思维能力。课程强调实践，通过应用技能而非仅仅听讲来培养。 完成课程后，学员将能够： * **为各种问题制定详细的分步解决方案。** * **思考和解读数据。** * **理解不同技术如何提高问题解决方案的效率。**
Computational thinking is critical for solving problems and using data effectively in modern society, but what is computational thinking anyway? Computational thinking is really a way to solve problems by specifying detailed, step-by-step solutions to those problems; collecting, representing, and analyzing data to support drawing conclusions or making decisions; and using a variety of techniques to improve the efficiency of our problem solutions. This course is designed to help you learn key computational thinking topics and develop your skills in those areas. Learn About and Develop Computational Thinking Skills Algorithms and ProceduresData Collection, Representation, and AnalysisProblem DecompositionAbstractionAutomationSimulationParallelization Contents and Overview In over 4 1/2 hours of content including 57 lectures, this course covers core computational thinking concepts. Four of the lectures include active learning activities integrated into the lectures, and the course also includes 13 additional exercises and topic understanding checks you can use to evaluate and hone your computational thinking skills. The course includes lots of practice because computational thinking is a set of skills that most people need to develop by applying those skills rather than just hearing someone talk about them! When you finish the course, you should be able to develop detailed step-by-step solutions to a variety of problems, think about and interpret data, and understand how different techniques improve problem solution efficiency.
