Foundations of Modeling

1.5 Credits · Level: Graduate

This course introduces students to the foundational principles of quantitative modeling with a focus on practical applications in Excel and Python. The course is designed for students seeking to develop skills in building and analyzing models for a wide range of decision-making and problem-solving contexts. Students will begin by exploring Excel as a powerful platform for deterministic and probabilistic modeling. As the course progresses, students will be introduced to Python for more advanced modeling tasks. Through hands-on exercises and case studies, students will learn how to apply these tools to real-world situations, gaining insights into system behaviors, evaluating performance metrics, and informing decision-making under uncertainty.