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Participating Courses

Course Name Department University Level Average Class Size Sample Modules
Monitoring and Analysis of the Environment Environmental Science VT Senior 30-40 Errors in Measured Data
Engineering Hydrology Civil and Environmental Engineering NC A&T Junior 30-40

Time-series Analysis of Precipitation Data

Rainfall-runoff Analysis using real-world high-frequency data
Hydrology Civil and Environmental Engineering VT Senior and graduate 40-50 Frequency Analysis in Hydrology
Smart Cities University Course VU Senior and graduate 20-30

Confidence Intervals

Clustering

Supervised Learning
Ecology Biological Sciences VT Sophomore 65-100

Introduction to Data Science: Visualization and Interpretation

Ecology is Data!

Effects of Acid Rain on Aquatic and Terrestrial Ecosystems
Engineering Statistics Industrial Engineering NC A&T Sophomore and junior 30-50

Basic Statistics

Hypothesis Testing
Ecosystems Engineering Natural Resources and Environmental Design NC A&T Senior 10-20 Stormwater Monitoring and Data Science

Data Science Topics Assessed in Each Sample Module

Modules Uncertainty in Data Collection Data Measurement Data Access Errors in Measured Data Data Cleaning Data Visualization (Interpretation) Data Visualization (Communication) Statistical Analysis

Errors in Measured Data

       X X   X X

Time-series Analysis of Precipitation Data

 X           X  

Rainfall-runoff Analysis using real-world high-frequency data

             X X

Frequency Analysis in Hydrology

 X   X   X X X X

Confidence Intervals

     X       X X

Supervised Learning

     X     X X X

Clustering

           X X X

Introduction to Data Science: Visualization and Interpretation

         X   X X

Ecology is Data

   X X     X X X

Effects of Acid Rain on Aquatic and Terrestrial Ecosystems

           X X X

Basic Statistics

           X X X

Hypothesis Testing

         X X X X

Stormwater Monitoring and Data Science

         X X X X