@article(giuseppe_introducing_2022,
	title = {INTRODUCING PROGRAMMING TO OCEAN MAPPING STUDENTS},
	journal = {The International Hydrographic Review},
	volume = {28},
	pages = {108-120},
	year = {2022},
	doi = {https://doi.org/10.58440/ihr-28-a13},
	url = {https://ihr.iho.int/articles/introducing-programming-to-ocean-mapping-students/},
	author = {Giuseppe Masetti and Semme Dijkstra and Rochelle Wigley and Tyanne Faulkes},
	keywords = {education, ocean data science, Ocean mapping, programming, scientific computing},
	abstract = {The next generation of ocean mappers need to master programming skills to meet increasingly higher expectations for timely ping-to-public data workflows. As such, the e-learning Python for Ocean Mapping (ePOM) project was established at the Center for Coastal and Ocean Mapping/NOAA-UNH Joint Hydrographic Center (University of New Hampshire). The project aims to support new ocean mapping students and professionals in reaching a minimum level of programming skills. These skills are then expanded with further powerful capabilities by leveraging the open-source Python scientific stack and the NOAA (National Oceanic & Atmospheric Administration) Office of Coast Survey’s Pydro distribution. To the best of our knowledge, the ePOM project represents the first attempt at creating a set of comprehensive open-source courses providing students with the required initial coding skills for a career in the ocean mapping field.},
)