Type:

Other

Description:

Students learn about complex networks and how to use graphs to represent them. They also learn that graph theory is a useful part of mathematics for studying complex networks in diverse applications of science and engineering, including neural networks in the brain, biochemical reaction networks in cells, communication networks, such as the internet, and social networks. Students are also introduced to random processes on networks. An illustrative example shows how a random process can be used to represent the spread of an infectious disease, such as the flu, on a social network of students, and demonstrates how scientists and engineers use mathematics and computers to model and simulate random processes on complex networks for the purposes of learning more about our world and creating solutions to improve our health, happiness and safety.

Subjects:

  • Mathematics > General
  • Education > General

Education Levels:

  • Grade 1
  • Grade 2
  • Grade 3
  • Grade 4
  • Grade 5
  • Grade 6
  • Grade 7
  • Grade 8
  • Grade 9
  • Grade 10
  • Grade 11
  • Grade 12

Keywords:

NSDL,probability,process,Grade 8,neuron,social network,brain,Mathematics,Grade 7,network,oai:nsdl.org:2200/20140919103501844T,cell,Grade 10,internet,Life Science,bio,Grade 9,Middle School,complex networks,spread of disease,facebook,NSDL_SetSpec_928276,modeling,Computing and Information,randomness,interaction,disease,simulation,Engineering,High School,Vocational/Professional Development Education,graph,model,Education

Language:

English

Access Privileges:

Public - Available to anyone

License Deed:

Creative Commons Attribution Non-Commercial Share Alike

Collections:

None
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