STEM Global Data Driven Curriculum

This lesson has been updated with suggested adaptations for remote learning

This lesson explores past, current, and future trends of air pollution in Washington State and provides opportunities for students to better understand the phenomena through intensive interaction and manipulation of data. Through this lesson, students will develop an understanding of foundational data science principles and recognize techniques for manipulating and analyzing data. In particular, students will develop skills in vetting data quality and generating basic descriptive statistics, including calculating mean, median, min, and max. Students will also gain skills in interpreting trends and patterns in data and making informed and evidence-based conclusions. In addition, students will gain an understanding of how air pollution effects human health and the global epidemiology of outcomes attributed to air pollution.

Lesson plans & supporting documents:

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