CHEM7480 - Parallel Microscale Experimentation and Generation of Predictive Models
Status
A
Activity
LEC
Section number integer
1
Title (text only)
Parallel Microscale Experimentation and Generation of Predictive Models
Term
2025A
Subject area
CHEM
Section number only
001
Section ID
CHEM7480001
Course number integer
7480
Meeting times
MW 10:15 AM-11:44 AM
Level
graduate
Instructors
Marisa Kozlowski
Description
This course will cover the theory and experimental implementation of parallel microscale experimentation used in the development of chemical reaction processes with a focus on organic chemistry transformations. Coverage includes the precepts behind design of experiment as well as errors commonly encountered in parallel microscale experimentation. Basic machine learning principles will be covered with the goal of selecting appropriate substrate/catalyst selection and generating predictive models using RDKit and Python. There is a laboratory component which may extend outside of listed class hours.
Course number only
7480
Use local description
No