Topics/HydroDataAnalysis
Durham
Engineering&Physical Sciences :: Earth Sciences
Credits: 4.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:
10
CRN: 56257
CRN: 56257
Study on an individual or group basis in geologic, hydrologic, or oceanographic problems, under members of the graduate staff. Topics include: geochemistry, geomorphology, geophysics; glaciology; groundwater, structural, and regional geology; crystallography, mineralogy; petrology; thermodynamics; ore deposits; earth resource policy; paleontology; sedimentation; stratigraphy; water resources management; chemical, physical, and geological oceanography; earth systems; earth science teaching methods. Prereq: permission of staff concerned. May be repeated. Special fee on some topics.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: Anne Lightbody
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 1/24/2023 | 5/8/2023 | TR | 8:10am - 9:30am | JAMS 254 |
| 1/24/2023 | 5/8/2023 | R | 2:10pm - 4:30pm | JAMS 221 |
Additional Course Details:
Introduction to data analysis techniques necessary to quantify and explore terrestrial water budgets, including rates of precipitation, evapotranspiration, and runoff; recurrence intervals; and construction of rating curves. Topics will include data importation, data cleaning, data manipulation, and curve-fitting, with an emphasis on visual and exploratory analysis. Project-based labs will involve active application of newly learned techniques to publicly available USGS and NOAA datasets. Students will gain experience using Python Pandas for hydrological applications. No programming experience required.
Booklist
| Book | Details |
|---|---|
|
PHYSICAL HYDROLOGY
(3RD 15)
by DINGMAN Recommended
|
|
|
PYTHON FOR DATA ANALYSIS
(2ND 18)
by MCKINNEY Recommended
|
|