Systems Thinking Made Simple

What you'll learn
By the end of taking this course students should have gained a whole new perspective on the world call systems thinking and will have gained a understanding of the formal language of systems theory that can be used within a wide variety of applications
Requirements
No prior knowledge of mathematical modeling or science is required before taking this course (although it would be a bonus) all that is required is a good understanding of the English language
Description
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.
Overview
Section 1: Systems Thinking
Lecture 1 Systems Thinking Overview
Lecture 2 Systems Thinking Summary
Lecture 3 Synthesis & Analysis
Lecture 4 Synthesis & Analysis Summary
Section 2: The Model Of A System
Lecture 5 Sets & Systems
Lecture 6 Systems & Sets Summary
Lecture 7 Functions
Lecture 8 Functions Summary
Lecture 9 System Efficiency
Lecture 10 System Efficiency Summary
Section 3: System's Environment
Lecture 11 Boundary & Environment
Lecture 12 Boundaries & Environment Summary
Lecture 13 Synergies & Relations
Lecture 14 Synergies & Relations Summary
Section 4: Emergence & Hierarchy
Lecture 15 Emergence
Lecture 16 Emergence Summary
Lecture 17 Hierarchy & Abstraction
Lecture 18 Hierarchy & Abstraction Summary
Section 5: The Dynamics Of Systems
Lecture 19 System Dynamics
Lecture 20 System Dynamics Summary
Lecture 21 Homeostasis & Control Systems
Lecture 22 Homeostasis Summary
Section 6: Systems Sciences
Lecture 23 Systems Science
Lecture 24 Systems Science Summary
Being an introductory course it is design to be of relevance to a broad group of people but will be of particular relevant to those in engineering, management, science & mathematics or I.T.


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