Understanding complexity / Scott E. Page.

By:

Page, Scott E, 1963-

Contributor(s):

Teaching Company

Material type:

Mixed 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:

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	Barcode
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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