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Natural Creativity

Parsons School of Design via Coursera


Natural Creativity is about looking into the many theories behind creativity, examining studies, and exploring the latest machine learning techniques. You will experiment with artistic tools that are powered by the latest machine learning techniques and conduct a full iteration of design thinking research that can be applied in several different business scenarios. You’ll focus on how the concept of creativity has evolved over time and how it has been investigated. Then, you will actively engage and collaborate with others in the class through discussion prompts and have an opportunity to reflectively write about a project that inspires your creativity. Throughout the course, you will step away from your computer, plan, and conduct one iteration of a design project applying the techniques and theories you just learned, enabling you to gain deep insights on how people are creative in your own local environment.


  • Unpacking Creativity
    • In this module, you will learn what to expect throughout this course, explore the potentials and limitations of machine creativity, and start your design research.
  • Creativity Over Time
    • In this module, you will experiment with new creative tools and use design research methods to identify people who are impacted by your project.
  • Creativity Frameworks
    • In this module, you will examine theoretical concepts and frameworks around creativity, experiment with A.I.-enabled creative environments, and apply your learning to a design research method.
  • Beautiful vs. Meaningful
    • In this module, you will explore the A.I. systems that engage in musical artifacts and understand the iterations in regards to design research.
  • Creative Systems and Computational Experiments
    • In this module, you will examine additional A.I.-enabled creative tools and complete the full scope of your design research project.

Taught by

Jeongki Lim

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