Students engage with college-preparatory content including calculus-based modeling, epidemiological analysis, primary research literature, and real-world engineering design challenges in indoor air quality science.
Reaction kinetics, photochemistry, ozone formation, VOC oxidation, and secondary pollutant generation in indoor environments.
Brownian motion, diffusion equations, particle deposition mechanisms, fluid dynamics, and computational modeling of aerosol behavior.
Cellular mechanisms of toxicity, inflammatory cascades, oxidative stress pathways, and systemic health effects of air pollutant exposure.
Emission rate equations, exponential decay functions, steady-state concentration modeling, CADR calculations, and differential equations.
SIR/SEIR compartmental models, basic reproduction number R0, intervention modeling, and computational outbreak simulations.
Asthma pathophysiology, COPD mechanisms, cardiovascular effects, carcinogenesis, and quantitative health impact assessment.
Sensor technologies, calibration methods, statistical analysis, uncertainty quantification, and data visualization techniques.
Apply the full engineering design process to develop, prototype, test, iterate, and optimize air quality solutions with cost-benefit analysis.
Analyze historical pandemics, transmission science, public health response frameworks, and develop evidence-based policy briefs integrating indoor air quality interventions.