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Atmospheric Trace MOlecule Sensing Lab.

Lecture

2022 Fall

Air Quality Data Analysis and Its application I (2022, Fall)
  • TimeThu 13:00 - Thu 16:00
  • Course DescriptionTo educate properly trained personnel in atmospheric field, this course aims to learn how to investigate current atmospheric problems ranges from air quality to climate change by analyzing atmospheric data with computer programming (eg Matlab). During the course, each student can experience a hands-on research processes by performing individual project based on open data resources in local to global scale (eg NASA, NOAA and Air Korea websites, etc.).
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1 Syllabus_Air Quality Data Analysis and Its application I (2022, Fall) GaHyun Lee 7 2022-08-31 파일명 : Syllabus_Air Quality Data Analysis and Its application I (2022, Fall).pdf
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