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.
Satisfies Social-Scientific Thought distribution requirement.

Fulfills the following graduation requirements:

Satisfies a requirement in the following programs:


Prerequisites & Notes
Economics 105 or permission of the instructor.