STATISTICS FOR CHEMICAL ENGINEERS
Concepts and techniques from statistics, data science, and machine learning applied to problems in chemical engineering. Random variables, estimation, statistical data analysis and learning, and decision-making under uncertainty.
Prerequisites & course information
Requisites: ( MATH 234 or 375 ) and CBE 255 Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Identify, formulate, and solve chemical engineering problems by applying principles and methods of statistics, data science, and machine learning Audience: Undergraduate 2. Use principles of statistics, data science, and machine learning to analyze chemical engineering data, to develop models from data, to quantify uncertainty, and to make decisions under uncertainty Audience: Undergraduate Learning Outcomes: 1. Identify, formulate, and solve chemical engineering problems by applying principles and methods of statistics, data science, and machine learning Audience: Undergraduate 2. Use principles of statistics, data science, and machine learning to analyze chemical engineering data, to develop models from data, to quantify uncertainty, and to make decisions under uncertainty Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027