CEGE3102: Uncertainty and Decision Analysis

3 Credits

Stochastic models, their usefulness in reasoning about uncertainty in civil, environmental, and geo-engineering. Techniques for identifying, fitting, and validating models using data samples. Testing hypotheses about, and bounding uncertainty attached to, engineering parameters. Applications to civil, environmental, and geo-engineering. prereq: MATH 1372 or equiv

View on University Catalog

All Instructors

B Average (3.090)Most Common: A (20%)

This total also includes data from semesters with unknown instructors.

508 students
SWFDCBA
  • 5.80

    /6

    Recommend
  • 5.41

    /6

    Effort
  • 5.72

    /6

    Understanding
  • 5.52

    /6

    Interesting
  • 5.67

    /6

    Activities


      Contribute on our Github

      Gopher Grades is maintained by Social Coding with data from Summer 2017 to Summer 2025 provided by the University in response to a public records request

      Not affiliated with the University of Minnesota

      Privacy Policy