Back to Emergent Phenomena in Science and Everyday Life
University of California, Irvine

Emergent Phenomena in Science and Everyday Life

Before the advent of quantum mechanics in the early 20th century, most scientists believed that it should be possible to predict the behavior of any object in the universe simply by understanding the behavior of its constituent parts. For instance, if one could write down the equations of motion for every atom in a system, it should be possible to solve those equations (with the aid of a sufficiently large computing device) and make accurate predictions about that system’s future. However, there are some systems that defy this notion. Consider a living cell, which consists mostly of carbon, hydrogen, and oxygen along with other trace elements. We can study these components individually without ever imagining how combining them in just the right way can lead to something as complex and wonderful as a living organism! Thus, we can consider life to be an emergent property of what is essentially an accumulation of constituent parts that are somehow organized in a very precise way. This course lets you explore the concept of emergence using examples from materials science, mathematics, biology, physics, and neuroscience to illustrate how ordinary components when brought together can collectively yield unexpected, surprising behaviors. Note: The fractal image (Sierpinkski Triangle) depicted on the course home page was generated by a software application called XaoS 3.4, which is distributed by the Free Software Foundation under a GNU General Public License. Upon completing this course, you will be able to: 1. Explain the difference in assumptions between an emergent versus reductive approach to science. 2. Explain why the reductivist approach is understood by many to be inadequate as a means of describing and predicting complex systems. 3. Describe how the length scale used to examine a phenomenon can contribute to how you analyze and understand it. 4. Explain why the search for general principles that explain emergent phenomena make them an active locus of scientific investigation. 5. Discuss examples of emergent phenomena and explain why they are classified as emergent.

Status: Biology
Status: Applied Mathematics
Course16 hours

Featured reviews

JH

5.0Reviewed Jan 4, 2019

Very good none technical introduction to emergent phenomena.

RJ

5.0Reviewed Apr 19, 2021

I can read about this. But I'll give it 5 stars because they deliver it nicely.

SR

5.0Reviewed Feb 17, 2024

Wonderful course. Great Faculty and insightful learnings.

DG

4.0Reviewed Mar 25, 2017

I've learned a lot about emergent phenomena on this course.

AK

4.0Reviewed Nov 15, 2017

Could have been more mathematical. And could have included a section on space-time, since it's been a while that the notion of emergent space-time has entered the theoretical discussions.

KS

4.0Reviewed Nov 30, 2020

Good introduction to different facets of emergent phenomena. Maybe a closure talk laying out where we can go from here would've been great as well - for those who are interested in exploring further

JS

4.0Reviewed Feb 20, 2018

Has new things I never thought about before. Really interesting.

MS

5.0Reviewed Dec 16, 2020

This course has enriched my understanding in science. It has also encouraged me to do research in the field of Emergent Phenomena in future. Thanks to respected professors who made this possible.

RV

5.0Reviewed May 7, 2017

i enjoyed all the different modules. I recommend they add more explanation to the chaos game assignment.

ST

5.0Reviewed Jul 1, 2017

It's a good course to get acquainted with first hand information about studies in emergent phenomena

AM

5.0Reviewed Oct 8, 2017

waItIng for such a course sInce my college tIme!Recommend for

VS

4.0Reviewed May 21, 2019

Good sampler course for those curious about emergent patterns across a variety of fields. Casual and fun, although the focus on peer graded assessments somewhat detract from it.

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