Computational Economics Capstone

Catalog description

The purpose of the Computational Economics Capstone course is for students to apply the knowledge and skills acquired during their bachelor's program to a project involving actual data in a real-world setting. The project will be realized in teams and relate to economic issues. During the project, students will experience the entire process from identifying a problem or opportunity and collecting and processing data to applying appropriate methods and evaluating a suitable solution. Methods will be related to data science, machine learning and deep learning. The project will be similar to one that students might typically encounter within industry, government, or academic research. The course will require the delivery of working software artifacts, written work, and oral presentations. It will integrate discussions and talks on ethics and careers in computational economics. This course requires a great deal of self-directed work and the ability to manage time and meet deadlines. Students will be encouraged to submit their capstone work to conferences focusing on undergraduate research at Pace and outside.