CE565
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CE565 - Transportation Data Management and Analysis
Course ID
038513
Course Description
This course introduces important concepts of database design and application. Popular database and analytical tools are introduced and demonstrated using traffic sensor data, roadway geometric data, and traffic accident data. The objective is to introduce modern concepts, algorithms, and tools for transportation data management and analysis. With the instructions, assignments, and projects in this course, students are expected to learn database design theories; analytical methods for capacity, safety, and time series analyses; and skills on popular software tools for transportation data management and analysis.
Graduate students should expect additional problems (additional 10%) in each midterm exam to cover additional materials given to the graduate students. More details will be provided during midterm exam review sessions.
Graduate students should expect additional problems (additional 10%) in each midterm exam to cover additional materials given to the graduate students. More details will be provided during midterm exam review sessions.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Requisites
May be convened with
CE465
Component
Lecture
Optional Component
No