Statistics for Chemical Engineers covers concepts and techniques from statistics, data science, and machine learning applied to chemical engineering problems, including random variables, estimation, and decision-making under uncertainty.
Recent recorded grades — Spring 2026: 3.44 GPA, 66.7% A/AB (n=9 letter grades).
Identify, formulate, and solve chemical engineering problems by applying principles and methods of statistics, data science, and machine learning
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
Source: UW Guide
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Raw average: 5.00/5 from 13 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.
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| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 0 / 50 | 0 |
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Recent recorded grades — Spring 2026: 3.44 GPA, 66.7% A/AB (n=9 letter grades).
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Latest available · Spring 2026— not enough history to project Spring 2027.
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Statistics for Chemical Engineers
Recorded 2026-10-14[
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]Original comments behind the course and instructor summaries.
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Recorded model configuration, reasoning, and tool conversations.
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