- Platform
- Coursera
- Provider
- University of California, Irvine
- Effort
- 3 hours/week
- Length
- 6 weeks
- Language
- English
- Credentials
- Paid Certificate Available
- Course Link
Overview
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.
Taught by
Andrea Nicholas, Siddharth A. Parameswaran, Jun Allard, Fred Y.M. Wan, Michael Dennin and Donald Saari
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.
Syllabus
Welcome - Let's Get Started
In this module we'll introduce the concept of emergence and provide an orientation to how this course will proceed.
The Mystery of Foam
Can a substance be both a solid and a liquid? In this module we’ll take a close look at our first emergent phenomena, complex fluids.
Chaotic Dynamics
Are seemingly random events truly random? In this module, we'll examine ways that deterministic processes can produce the appearance of randomness.
Pattern Formation and Systems Biology
Have you ever wondered why tigers have spots and leopards have spots? This module helps to explain how these and other patterns form in nature.
Quantum Coherence, Many-Body States, and Quantum Computing
How can we study quantum events from both a reductionist and emergent perspective? This module takes a look at the atomic and quantum level of some everyday phenomena.
Consciousness
One of the most awe inspiring emergent phenomena is how consciousness emerges from complex collections of atoms and molecules. In this module, we’ll take a look at how the various regions of our brain coordinate and interact to produce consciousness.
Welcome - Let's Get Started
In this module we'll introduce the concept of emergence and provide an orientation to how this course will proceed.
The Mystery of Foam
Can a substance be both a solid and a liquid? In this module we’ll take a close look at our first emergent phenomena, complex fluids.
Chaotic Dynamics
Are seemingly random events truly random? In this module, we'll examine ways that deterministic processes can produce the appearance of randomness.
Pattern Formation and Systems Biology
Have you ever wondered why tigers have spots and leopards have spots? This module helps to explain how these and other patterns form in nature.
Quantum Coherence, Many-Body States, and Quantum Computing
How can we study quantum events from both a reductionist and emergent perspective? This module takes a look at the atomic and quantum level of some everyday phenomena.
Consciousness
One of the most awe inspiring emergent phenomena is how consciousness emerges from complex collections of atoms and molecules. In this module, we’ll take a look at how the various regions of our brain coordinate and interact to produce consciousness.
Taught by
Andrea Nicholas, Siddharth A. Parameswaran, Jun Allard, Fred Y.M. Wan, Michael Dennin and Donald Saari