DSCI 216 - Stochastic Computing

The course will approach these goals using a three-fold approach, namely problem, theory, and prototype (PTP). We will motivate major topics by discussing a problem. The purpose of discussion of the problem is to give context behind why a particular supporting topic in probability was developed or what it is intended to address. The problem will be followed by theory. This concerns rigorous mathematical definition and tools for their manipulation in order to address the problem. Emphasis will be placed on approaches that are amenable to implementation. Finally, theory will be followed by prototype. The purpose of the prototype aspect of the course is to train students in the development of models that serve a useful purpose.

Prerequisites: MATH 121 - Calculus II   or MATH 125 - Honors Calculus II  and

CSCI 121 - Data Structures   or CSCI 124 - Accelerated Introduction to Computing  

Anticipated Terms Offered: Fall 2024 (Typically in the Fall semester)