Proficiency in Ocean Data Science

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Who: Early Career STEM and Undecided Majors

What: Series of courses and research experiences focused on ocean and environmental data collection, analysis and visualization

Courses

Field and Data Collection

serves as an early engagement and recruitment course with a focus on the important relationship between field observations and environmental data. Activities include data collection in various coastal environments — for example coastal lagoons/estuaries with concurrent measurements from manned and autonomous kayaks

Instrumentation and Data Characterization

demonstrates what scientific instruments are measuring and expose students to different types of data and collection strategies. Students will peer inside instruments to see how the sensors use basic physics and chemistry principles to obtain environmental measurements.


Data Analysis and Visualization

investigates new and/or previously collected data to expose students to more formal data analysis and presentation techniques. Students will be introduced to programming and data analysis basics focusing on the open-source software to perform basic programming activities like loading data and assigning/manipulating variables.

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Data Modeling and Simulation

course investigates observed or previously identified trends in data to predict, model or simulate phenomena at different spatial (smaller/larger) and/or temporal (past, future) scales. The course covers the basics of conceptual, analog and numerical models including a Regional Ocean Modeling System (ROMS) of Narragansett Bay circulation.

Capstone and Internship

provides hands-on experience for certificate participants. Organizations in need of data science processing skills and research problems to be worked on work hand-in-hand with PODS participants to finish up an academic exposure to data collection, analysis, visualization, and simulation.

Note: Off-Campus with:
  • Navy
  • NOAA
  • AFG, Inc.