CHEM 590

Fall 2025 All Classes

All Classes

Credit: 1 TO 4 hours.

Designed for students majoring or minoring in chemistry who wish to undertake individual studies of a non-research nature under the direction of a faculty member of the department.

Approved for both letter and S/U grading. Prerequisite: Consent of instructor and written approval of department head. Staff for the course is the same as for CHEM 599.

CHEM 590 class schedule data for fall 2025
CRN Type Section Time Day Location Instructor Section Details
10512
Independent Study
ARRANGED
n.a.
Location Pending
Part of Term:
1
Date Range:
08/25/25-12/10/25
Special Approval:
Departmental Approval Required
79988
Lecture
DS
3:00PM -4:20PM
TR
163 Noyes Laboratory
Jackson, N
Part of Term:
1
Date Range:
08/25/25-12/10/25
Credit:
4 hours
Section Title:
Data Science for Chem & Eng
Section Info:
Data Science for Chemistry and Engineering; This course serves as an introduction to data-driven and machine learning techniques in chemistry and chemical engineering. Surveyed topics will include standard regression and classification algorithms, neural network architectures, unsupervised learning, clustering, molecular featurization techniques and best practices for machine learning. The course serves as a practical introduction to these techniques in Python using existing chemical datasets. Meets with CHBE 594 DS, CHEM 452, and CHBE 413.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
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