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:

Cover Sheet – Word Document  PDF

Lesson Plan – Word Document  PDF

Data Analysis Sample Video

Handout 1: Instructions- Word Document   PDF 

Handout 2: Time Series Plot- Word Document   PDF 

Handout 3A: City Comparison Plot Group A- Word Document  PDF

Handout 3B: City Comparison Plot Group B- Word Document  PDF

Handout 3C: City Comparison Plot Group C- Word Document   PDF

Handout 3D: City Comparison Plot Group D- Word Document  PDF

Handout 3E: City Comparison Plot Group E- Word Document   PDF

Handout 3F: City Comparison Plot Group F- Word Document   PDF

Handout 3G: City Comparison Plot Group G- Word Document  PDF

Handout 3H: City Comparison Plot Group H- Word Document  PDF

Handout 3I: City Comparison Plot Group I- Word Document     PDF

Handout 4: Washington State Map of PM2.5- Word Document  PDF


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