Introduces methods for quantifying and analyzing different types of data, covering foundational concepts in discrete mathematics, probability, and predictive modeling, along with complementary computational skills to apply these concepts to real problems. Covers counting and combinatorics, logic, set theory, introductory probability, common probability distributions, regression, and model validation. Requires demonstrated proficiency with introductory computer programming.
instructor(s)
Handler, Abe
Primary Instructor
- Fall 2020 / Spring 2021 / Fall 2021 / Spring 2022
Palen, Leysia A
Secondary Instructor
- Spring 2018 / Spring 2019
