|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/systems-made-simple/
课程评论：没有评论
**课程名称：** 系统思维简明入门 (Systems Thinking Made Simple) **课程概述：** 本课程旨在为广大受众提供一个全面且易于理解的系统思维和理论入门。课程主要致力于实现两大目标： 1. **提供核心概念：** 使学习者能够从系统视角——即系统思维——以全新的方式看待世界。 2. **建立标准化语言：** 教授系统理论的标准语言，以便学习者能更连贯地描述和模拟各类系统，并有效地与他人沟通。 本课程无需任何数学建模或科学背景知识，将从最基本的系统模型讲起，逐步构建更复杂的表示。 **课程结构：** 课程共分为四个主要部分： 1. **系统思维概述：** 区分传统的分析推理方法与构成系统思维基础的综合方法。 2. **系统理论基础：** 定义什么是系统，并在此基础上构建模型，引入效率、功能、能量和熵等概念。 3. **系统模型进阶：** 将模型扩展为更强大的框架，加入系统环境、系统边界、系统间的协同作用以及由协同作用产生的层级结构。 4. **系统动力学：** 探索系统随时间变化的模型，包括反馈回路、因果关系图以及稳态现象。 最后，课程将总结系统科学，探讨其重要性和现实意义。
This course is a comprehensive introduction to the area of systems thinking and theory that is designed to be accessible to a broad group of people. The course is focused upon two primary achievements; Firstly providing students with the key concepts that will enable them to see the world in a whole new way from the systems perspective, what we call systems thinking. Secondly the aim is to provide you with the standardized language of systems theory through which you will be able to describe and model systems of all kind in a more coherent fashion whilst also being able to effectively communicate this to others. This course requires no prior specific knowledge of mathematical modeling or science, as we will be starting with the very basic model of a system and then building upon this to create more sophisticated representation. The course is broken down into four main areas. Firstly we will start the course with an overview to systems thinking making a clear distinction between or traditional methods of analytical reasoning and the alternative method of synthesis that forms the foundations of system thinking. Next we will delve into systems theory to start building our model of a system, clearly defining what exactly a system is and is not. During the rest of this section we will build upon this model by adding the concepts of efficiency, functionality and talking about energy and entropy. In the third section to the course we will develop our model into a more powerful framework by adding the concept of the system's environment, discussing systems boundaries, synergistic interactions between systems and the emergence of hierarchical structure out of these synergies. In the last section we will look at different models for capturing how systems change over time what is called system dynamics, here we will explore the ideas of feedback loops, causal loop diagrams and the phenomena of homeostasis. Finally we wrap-up the course with a discussing of systems science, looking at how and why it is of relevance to us.
