The statistical regression and specific computational intelligence-based models will be studied in this course for the forecasting of hourly NO2 concentrations. Further, a novel approach, based on regression models, principal component analysis (PCA) will be used to analyze the correlations of different predictor variables between meteorology and air pollutants. This course will show how to quantify the wind and temperature impact on air quality. The student should seek the course instructor's approval to take this course.