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Understanding complexity / Scott E. Page.

By: Contributor(s): Material type: Mixed materialsMixed materialsLanguage: English Series: Great courses | The Great courses | The Great CoursesPublication details: Chantilly, Virginia : The Teaching Company, 2009.Description: iv, 212 pages ; 21 cmISBN:
  • 9781598035605
  • 1598035606
Uniform titles:
  • The Great Courses
Subject(s): DDC classification:
  • 370
LOC classification:
  • LB 14.6 P133u 2009
Contents:
Lecture 1. Complexity : what is it? Why does it matter -- Lecture 2. Simple, rugged, and dancing landscapes -- Lecture 3. The interesting in-between -- Lecture 4. Why different is more -- Lecture 5. Explore exploit : the fundamental trade-off -- Lecture 6. Emergence I : why more is different -- Lecture 7. Emergence II : network structure and function -- Lecture 8. Agent-based modeling : the new tool -- Lecture 9. Feedbacks--beehives, QWERTY, the big sort -- Lecture 10. The sand pile : self-organized critically -- Lecture 11. Complexity versus uncertainty -- Lecture 12. Harnessing complexity.
Summary: Professor Scott E. Page from University of Michigan introduces you to complexity science. You learn how this vibrant and still evolving discipline helps you understand the nature and behavior of systems formed of financial markets, corporations, native cultures, governments, and more.
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Holdings
Item type Current library Home library Collection Shelving location Call number Copy number Status Date due Barcode
Libro Libro Biblioteca Juan Bosch Biblioteca Juan Bosch Humanidades Humanidades (4to. Piso) LB 14.6 P133u 2009 (Browse shelf(Opens below)) 1 Available 00000136900

Course no. 5181.
12 lectures, 30 minutes/lecture.

"Lecture transcript and course guidebook"--Cover.

Lecture 1. Complexity : what is it? Why does it matter --
Lecture 2. Simple, rugged, and dancing landscapes --
Lecture 3. The interesting in-between --
Lecture 4. Why different is more --
Lecture 5. Explore exploit : the fundamental trade-off --
Lecture 6. Emergence I : why more is different --
Lecture 7. Emergence II : network structure and function --
Lecture 8. Agent-based modeling : the new tool --
Lecture 9. Feedbacks--beehives, QWERTY, the big sort --
Lecture 10. The sand pile : self-organized critically --
Lecture 11. Complexity versus uncertainty --
Lecture 12. Harnessing complexity.

Professor Scott E. Page from University of Michigan introduces you to complexity science. You learn how this vibrant and still evolving discipline helps you understand the nature and behavior of systems formed of financial markets, corporations, native cultures, governments, and more.

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