DATA SCIENCE MODELING II

Prerequisites & course information

Requisites: ( MATH 211 , 217, or 221 ) and STAT 240 Course Designation: Core GenEd - Natural Science & Wellness + Lab Breadth - Natural Science Level - Intermediate L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Understand and apply basic concepts in probability; combine basic probability models to build more complicated ones; and critique models and their assumptions Audience: Undergraduate 2. Formulate statistical hypotheses for different kinds of research questions and test those hypotheses using both classical and Monte Carlo methods. Audience: Undergraduate 3. Understand and apply principles of statistical estimation and prediction, including fitting models and assessing model quality, in the context of both linear and logistic regression. Audience: Undergraduate 4. Apply statistical tools to answer research questions using real-world data and present these findings clearly in both spoken and written form to non-experts. Audience: Undergraduate Learning Outcomes: 1. Understand and apply basic concepts in probability; combine basic probability models to build more complicated ones; and critique models and their assumptions Audience: Undergraduate 2. Formulate statistical hypotheses for different kinds of research questions and test those hypotheses using both classical and Monte Carlo methods. Audience: Undergraduate 3. Understand and apply principles of statistical estimation and prediction, including fitting models and assessing model quality, in the context of both linear and logistic regression. Audience: Undergraduate 4. Apply statistical tools to answer research questions using real-world data and present these findings clearly in both spoken and written form to non-experts. Audience: Undergraduate