Network Analysis for Urban Systems

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Course Description

The objectives of this course are to: 1) introduce you to the mathematical theory of networks and common metrics of networks; 2) develop an understanding of how to utilize network models to study urban systems; 3) provide an opportunity to apply network models to analyze a real urban system. Students are expected to have a strong background in calculus and linear algebra before taking this course and should be comfortable with the calculation and manipulation of matrices. Experience in a numerical scripting language (preferably Python, R or Matlab) is necessary for the final project. Coursework will consist of graded problem sets pertaining to both theory of networks and applications to urban systems. There will be a final project where students will be required to apply network based methods to the analysis of real data of an urban system. (subject to change)

Grading Basis

RLT - Letter (ABCD/NP)

Min

3

Max

3

Course Repeatable for Degree Credit?

No

Course Component

Lecture

Enrollment Optional?

No