Data Analysis in chemistry
Course #: CHEM 408
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.
Notes:
This course is recommended for upper-level chemistry majors.
Pre Requisites: Pre-requisite: CHEM 116 and CHEM 118 and MATH 141
Offered in:
2025 Spring
Section | Class Number | Schedule/Time | Instructor | Location | |
---|---|---|---|---|---|
01 | 13877 | TuTh 5:30 - 6:45 pm |
Green,Jason | McCormack M02-0213 | |
Session:
Regular
Class Dates:
01/27/2025 - 05/14/2025
Capacity:
12
Enrolled:
6
Status:
Open
Credits:
3/3
Class Notes:
Pre Requisites:
Pre-requisite: CHEM 116 and CHEM 118 and MATH 141
Course Attributes:
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