ENGRCEE 224A Transportation Data Analysis I (2016-2017)

ENGRCEE 224A Transportation Data Analysis I

(Not required for any major.)
Catalog Data:

ENGRCEE 224A Transportation Data Analysis I (Credit Units: 4) Statistical analysis of transportation data sources. Analysis of categorical and ordinal data. Regression and advanced multivariate analysis methods such as discriminant analysis, canonical correlation, and factor analysis. Sampling techniques, sample error and bias, survey instrument design. Graduate students only. . (Design units: 0)

Required Textbook:
. Edition, , 1969, ISBN-13 978-1584880301.

Recommended Textbook:
None
References:
None
Coordinator:
Relationship to Student Outcomes
No student outcomes specified.
Course Learning Outcomes. Students will:
Prerequisites by Topic

Knowledge of basic probability and statistics.

Lecture Topics:

None.

Class Schedule:

Meets for 3 hours of lecture each week for 10 weeks.

Computer Usage:
Laboratory Projects:
Professional Component
Design Content Description
Approach:
Lectures:
Laboratory Portion:
Grading Criteria:
Estimated ABET Category Content:

Mathematics and Basic Science: 0.0 credit units

Computing: 0.0 credit units

Engineering Topics: 0.0 credit units

Engineering Science: 0.0 credit units

Engineering Design: 0.0 credit units

Prepared:
July 12, 2016
Senate Approved:
May 7, 2013
Approved Effective:
2013 Fall Qtr