IE8535
IE 8535 - Introduction to Network Science (4 Cr.)
Industrial and Systems Engineering (11138)
TIOT - College of Science and Engineering
IE 8535 - Introduction to Network Science (4 Cr.)
Course description
Topics include deterministic and random networks, network flows, matching, game theory, distributed decision making in networks, cooperation in networks, cascades in networks, wisdom of crowds, applications in voting, prediction markets, consumer behavior modeling, revenue management, inventory control and finance.
This course is offered to graduate students. Undergraduate students must get permission from the instructor for registering. Prerequisites include probability and optimization (5531 and 8532) but students who have taken similar courses or have the mathematical background can register by instructor permission.
This course is offered to graduate students. Undergraduate students must get permission from the instructor for registering. Prerequisites include probability and optimization (5531 and 8532) but students who have taken similar courses or have the mathematical background can register by instructor permission.
Minimum credits
4
Maximum credits
4
Is this course repeatable?
No
Grading basis
OPT - Student Option
Lecture
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Periodic Fall & Spring