Students apply mathematical modeling, conduct controlled experiments, and use the engineering design process to understand and improve indoor air quality.
Composition of air, gases, chemical reactions, ozone, and volatile organic compounds (VOCs).
Particle sizes, behavior, settling rates, suspension, and how particles move through air.
Lung anatomy, gas exchange, how PM affects respiratory health, and vulnerable populations.
Transmission routes, R₀, outbreak investigation, and the math of disease spread.
Asthma, allergies, cardiovascular effects, and health disparities related to air quality.
CO2 and PM2.5 data collection, graphing, pattern analysis, and evidence-based decisions.
Apply the engineering design process to design, build, test, and optimize Corsi-Rosenthal box air purifiers. Calculate CADR, measure real PM2.5 reduction, and present data-driven recommendations.
1918 flu, SARS, COVID-19—lessons learned from historical pandemics and their relevance to indoor air quality.