CE 582 - 2024 Spring

Lectures

1. Syllabus review
2. Lecture 1: Introduction to statistical hydrology
3. Lecture 2: Characteristics and measures of hydrologic data
4. Lecture 3: Measures of variability
   1. Homework 1: Measures of hydrologic data
5. Exercise 1: Streamflow data cleaning and measures
6. Lecture 4: Graphical data analysis
7. Lecture 5: Probability (Q-Q) plots
8. Exercises 6: Chapter 2 Part 1
9. Lecture 7: Scatterplots
   1. Homework 2: Univariate regression analysis
10. Lecture 8: Graphs for multivariate data
11. Exercises 9: Chapter 2 Part 2
12. Quiz 1
    1. Homework 3: Quiz 1
13. Research and Creativity Week
14. Lecture 10: Uncertainty
15. Lecture 11: Parametric confidence interval for the mean
    1. Homework 4: Streamflow confidence interval
16. Lecture 12: Nonparametric and parametric conference interval for the median
    1. Homework 5: Nonparametric confidence interval for the mean
17. Lecture 13: Prediction interval
18. AWRA 2024 GWTC: Fourier transform literature review
19. AWRA 2024 GWTC: Fourier transform exercises
20. Lecture 14: Fourier transform basics
21. Lecture 15: Application of Fourier transform to hydrology
22. Lecture 16: Hypothesis tests
23. Religious holiday
24. Lecture 17: Hypothesis tests
25. Lecture 18: Rank-sum tests
26. Lecture 19: Permutation tests
27. Lecture 20: Paired sample tests
28. Project work
29. Quiz 2
30. Final exam
31. Project presentation