In an effort to quantitatively understand the world around us, people across all fields of interests focus their efforts on building accurate models of the world and then optimizing their expected experience based on this simpler model of the world. In this context, it is then in an undergraduate student’s best interest to familiarize themselves with pre-existing models of the world in order to build their own models. This course aims to present problems from Environmental Science, Game Theory, Machine Learning, Google, Music and Center of Disease Control through a unifying modeling lens in the hopes of providing students with enough information and skills to seek out and improve widely accepted existing models in the world today. Beyond lectures, students will learn how to approach problems through one individual assignment and get experience working on a group modeling project.