CHEM 408 - Data Analysis in Chemistry

3 Credit(s) | Lecture | Graded or pass/fail
Not repeatable for credit

Description:
An introduction to data analysis in the chemical sciences. A central approach in the design of chemical experiments is to apply statistical techniques to molecular-scale data that can be used to infer structure property relationships and guide chemical syntheses. The course objective is to acquire the necessary skills to build statistical models to design, conduct and understand experimental chemistry.

Enrollment Requirements:
Prerequisites: CHEM 116 and CHEM 118 , MATH 141

Semester(s) typically offered: Spring

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