ECO 316 - Computational Economics
Computational methods for building and solving models in the context of economics topics. Methods discussed include agent-based simulations to analyze complex adaptive systems, value function iteration to solve dynamic structural models, and miscellaneous estimation and optimizing techniques.
Satisfies an interdisciplinary minor requirement for applied mathematics.
Counts as an elective in the Data Science interdisciplinary minor.
Satisfies Social-Scientific Thought requirement.
Prerequisites & Notes
Economics 105 or permission of the instructor.
[Add to Portfolio]