Computational Transportation Courses

These courses are offered by the Department of Computer Science.
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567 Principles of Computational Transportation Science
4 hours. Builds on the fundamentals of transportation science and emphasizes its high-level computational aspects. Topics covered include database design and theory, spatial and temporal information systems issues and travel modeling. Same as CME 567 and UPP 567. Prerequisite(s): Grade of B or better or concurrent registration in UPP 560. Open only to Ph.D. students; or consent of the instructor.

594 Special Topics
4 hours. Subject matter varies from term to term and section to section, depending on the specialties of the instructor. May be repeated. Students may register in more than one section per term. Previously listed as EECS 594. Prerequisite(s): Consent of the instructor.