CEE 270 - Statistical Methods for Data Analysis and Uncertainty Modeling
Section: 001
Term: FA 2007
Subject: Civil & Environmental Engin (CEE)
Department: CoE Civil and Environmental Engineering
Credits:
4 (Non-LSA credit).
Requirements & Distribution:
BS
Advisory Prerequisites:
MATH116&EN101.
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:

Introductory probability and statistics with emphasis on data analysis and uncertainty modeling for engineering and environmental systems. Descriptive statistics, graphical representation of data, linear regression, correlation, discrete and continuous probability distributions, conditional probability, estimation, statistical inference, hypothesis testing, sampling design, load factors, extreme events, reliability analysis.

CEE 270 - Statistical Methods for Data Analysis and Uncertainty Modeling
Schedule Listing
001 (LEC)
 
25943
Closed
0
 
-
MWF 10:30AM - 11:30AM
002 (LAB)
P
26239
Closed
0
 
-
Tu 11:30AM - 2:30PM
003 (LAB)
P
31055
Closed
0
 
-
Th 11:30AM - 2:30PM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.
Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

No Syllabi are on file for CEE 270. Click the button below to search for a different syllabus (UM login required)

Search for Syllabus
The CourseProfile (ART) system, supported by the U-M Provost’s 3rd Century Initiative through a grant to the Digital Innovation Greenhouse, provides additional information about: course enrollments; academic terms and instructors; student academic profiles (school/college, majors), and previous, concurrent, and subsequent course enrollments.

CourseProfile (ART)