Teachers College at Columbia University · Courses

EESC W

2 courses with the subject EESC W, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.

EESC W4020Humans and the Carbon Cycle1

EESC GU4924 INTRO TO ATMOSPHERIC CHEMISTRY Sustainable Process Engineering (taught as a CHEN 4900 Topics in Chemical Engineering course in Spring 2025; it will be given its own course number in future semesters) Data and Computational Science The coursework for a concentration in Data and Computational Science provides an understanding of data science tools and computational modeling methods relevant to modern chemical engineering practice. These tools include methods of data curation, statistical data analysis, predictive modeling, and experimental design that integrate advances in machine learning and artiﬁcial intelligence into the chemical engineering domain. Any combination of four courses (12 points total) satisﬁes the Data and Computational Science Specialization Requirement.

Subject: EESC W
Credits (min): 1
Credits (max): 1
Type: course
Edition: 2026-2027
Source: bulletin.columbia.edu

EESC W4403Managing and adapting to climate

change EESC GR6922 ATMOSPHERIC RADIATION

Subject: EESC W
Type: course
Edition: 2026-2027
Source: bulletin.columbia.edu

Source: Teachers College at Columbia University's catalog, linked per course · table learning_unit · CourseShelf publish 61