IE 404: Quantitative Methods for Engineering Decision Making

This course introduces industrial engineering students to data-driven decision-making using real-world industrial datasets. Emphasis is placed on data exploration, statistical modeling, visualization, and interpretation to support engineering and managerial decisions. Students will use R as the primary analytical tool to perform regression, forecasting, and basic predictive analytics, with applications in operations, quality, healthcare, and supply chains. The course focuses on applied analytics and insight generation rather than advanced programming.