CE 582 - 2026 Spring

Lectures

1. Syllabus review
   1. Lecture 1: Introduction to statistical hydrology
2. Lecture 2: Characteristics and measures of hydrologic data
3. Lecture 3: Probability plots
4. Lecture 4: Central tendency
   1. Homework 1: Central tendency
5. Lecture 5: Variability
6. Lecture 6: Graphical data analysis
   1. Homework 2: Univariate regression analysis
7. Lecture 7: Graphical comparisons and scatterplots
   1. Exercise 1: Chapter 2
8. Lecture 8: Confidence intervals
9. Project: Proposal presentation
10. Lecture 9: Hypothesis testing
    1. Homework 3: Hypothesis testing
11. Lecture 10: Prediction intervals
12. Lecture 11: Normality testing and rank-sum test
13. Quiz 1
14. Lecture 12: Two-group tests 1
15. Lecture 13: Two-group tests 2
    1. Midterm exam
16. Lecture 14: Paired difference tests
    1. Quiz 2
17. Lecture 15: Error structures
    1. Homework 4: Error structures
18. Lecture 16: Error structures in time series
19. Lecture 17: Model adequacy
20. Lecture 18: Uncertainty analysis
21. Lecture 19: Separation of uncertainty sources
22. Lecture 20: Evaluation of prediction intervals
23. Project: Project update
24. Lecture 21: Markov chain Monte Carlo
25. Quiz 3
26. Lecture 22: Generalized likelihood uncertainty estimation
27. Quiz 4
28. Project: Independent work
29. Project: Final presentation
30. RAWCS annual meeting