Course Syllabus
See the course Home Page for the official Syllabus. We are managing the lecture schedule on the Lecture Materials Page. Topics and assigned readings are listed there along with any lecture materials and sample code and data. The class schedule is subject to change, so please check back frequently.
Course Summary:
Date | Details | Due |
---|---|---|
Thu Sep 6, 2018 | Assignment 1. Metadata and the data lifecycle | due by 1:30pm |
Thu Sep 20, 2018 | Assignment 2. Datalogger Programming and Data Collection | due by 1:30pm |
Thu Sep 27, 2018 | Assignment Final Project Problem Statement | due by 1:30pm |
Tue Oct 9, 2018 | Assignment 3. Database implementation and loading data | due by 1:30pm |
Tue Oct 16, 2018 | Assignment 4. Using Structured Query Language | due by 1:30pm |
Tue Oct 23, 2018 | Assignment Python Programming Challenge | due by 3:00pm |
Thu Oct 25, 2018 | Assignment GitHub Repository Creation | due by 1:30pm |
Thu Nov 1, 2018 | Assignment Final Project Progress Report | due by 1:30pm |
Tue Nov 6, 2018 | Assignment 5. Using Python to Retrieve and Visualize Data | due by 1:30pm |
Tue Nov 13, 2018 | Assignment 6. Exploring Residential Water Use Data Using Python | due by 1:30pm |
Tue Nov 20, 2018 | Assignment 7. Using Python to Access Hydrologic Data from Web Services | due by 1:30pm |
Thu Nov 29, 2018 | Assignment 8. Sharing a Reproducible Analysis in HydroShare | due by 1:30pm |
Assignment Final Project Report Initial Submission | due by 1:30pm | |
Thu Dec 6, 2018 | Assignment Final Project Oral Presentation | due by 1:30pm |
Assignment Final Project Peer Review | due by 1:30pm | |
Sun Dec 9, 2018 | Assignment IDEA Course Evaluation | due by 1:30pm |
Tue Dec 11, 2018 | Assignment 9. Machine Learning in Python | due by 1:30pm |
Assignment Final Project Report Final Submission | due by 1:30pm |