Complexity Thinking - Advanced Level (CT-A1)

Complexity Thinking – Advanced Level (CT-A1)

Description of Course

The Complexity Thinking Advanced Course (CT-A1) identifies the similarities and differences between systems theory and complexity theory. Participants will have a better understanding of complexity and be able to differentiate between different types of problems (simple, complicated, complex, wicked). The Cynefin Framework will be introduced to aid participants in identifying which type of problem or environment one is facing and to better identify which techniques and tools to use in the different domains. Participants will learn the steps to complexity thinking and become familiar with complex adaptive systems (CAS) and the eight characteristics of CAS.

Duration of Training

The Complexity Thinking Advanced (CT-A1) requires 16 hours of training and can be taken as a two-day in-person training session, an online live virtual class, or as an asynchronous self-paced online training using The Flow System’s learning management system (LMS). This course can be taught publicly or privately to any organization.

Participants must complete the training before receiving a code allowing them to take the Complexity Thinking Advanced (CT-A1) assessment for accreditation. The fee for the assessment is included in the course fee for training attendees.

Participants who attend the training will have two attempts at the Complexity Thinking Advanced (CT-A1) assessment. Participants who wish to forgo the training and jump straight to the assessment may do so but must first buy a code and will only have one attempt as opposed to two for people taking the training. You can buy a code below by clicking Take Assessment.

Objectives of Course

This course is an advanced course in which participants should have an understanding of The Flow System Foundations (FS-1) and must have successfully obtained accreditation in The Flow System Foundations. After successfully completing this course participants should be able to:

  • Differentiate between systems theory and complexity theory.
  • Identify the benefits and weaknesses of systems and complexity theory and know when to apply the correct theory and techniques.
  • Understand what defines complexity and what makes an environment a complex environment.
  • Differentiate between simple, complicated, complex and wicked problems.
  • Understand that different techniques and tools are required for problems in the simple and complicated domains and that different techniques and tools are required for problems in the complex domain.
  • Identify the differences between the different domains of the Cynefin Framework.
  • Describe the five domains of disorder, clear, complicated, complex, and chaotic in the Cynefin Framework.
  • Apply the Cynefin Framework to a real-world problem.
  • Identify the steps to Complexity Thinking.
  • Describe complex adaptive systems.
  • Describe the eight characteristics of complex adaptive systems.

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