Problem-Solving Techniques

所在平台: Udemy

课程主页: https://www.udemy.com/course/problemsolvingtechniques/

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课程简介

Coursera “问题解决技巧”课程总结 本课程旨在教授学员一系列广泛的问题解决技巧,涵盖八个关键领域:问题识别、改进优先级识别、决策制定、流程识别、资源规划、流程改进、绩效衡量以及预测技术。 课程内容丰富,介绍了包括成本效益分析(Cost-Benefit Analysis)、帕累托分析(Pareto Analysis)、PEST分析、加权评分(Weighted Scoring)、移动平均(Moving Averages)等多种具体问题解决工具。每项技巧都配有简短的视频讲座,通过易于理解的示例介绍其工作原理。 每节讲座后,学员都会面临一个旨在巩固和加强学习的简短练习。部分讲座还附有“如何操作”视频,指导学员如何在电子表格软件中创建帕累托图或绘制项目网络图等。 该课程包含超过五小时的视频内容,介绍24种不同的问题解决技巧。课程设计灵活,学员可以根据自己的需求自由选择学习顺序,因为每项技巧都针对特定类型的问题。课程强调,在实际应用中,通常需要结合多种技巧从不同角度分析问题。 课程的最终目标是帮助学员培养全新的思维方式和结构化的方法来解决日常生活中的问题。课程强调,在试图解决一个问题之前,首先理解问题至关重要,这有助于学员选择最合适的技巧来应对挑战。

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课程详情

In this course you will cover a wide variety of problem-solving techniques in the following eight areas:Problem identification Improvement priorities identificationDecision makingProcess identificationResources planningProcess improvementPerformance measurementPredictive techniquesEach of the eight areas feature several problem-solving techniques such as Cost-Benefit Analysis, Pareto Analysis, PEST, Weighted Scoring, Moving Averages, and many more. Each technique has a short lecture describing how each technique works using easy to understand examples throughout. Every lecture is followed with a short assignment that is designed to enhance and reinforce your learning. Several of the lectures also have accompanying "How To.." videos such as how to create a Pareto Chart in spreadsheet software, and how to draw a Project Network Diagram.The course features over five hours of video and 24 different problem-solving techniques. However, students can take the course in any sequence they want, as each technique is aimed at solving specific types of problems. In reality, you may end up using a combination of techniques in order to analyse a problem from different angles. The overall aim of the course is to get you to think differently and have a structured approach to solving everyday problems. Instead of jumping straight into trying to solve a problem, it is vital to first think about understanding the problem before you choose a particular technique that might help you.

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