MIT Subject Listing & Schedule
IAP/Spring 2026 Search Results

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1 subject found.

6.100B Introduction to Computational Thinking and Data Science

(, )
Prereq: 6.100A or permission of instructor
Units: 2-0-4
Credit cannot also be received for 6.1000, 9.C20, 16.C20, 18.C20, CSE.C20
URL: https://www.eecs.mit.edu/changes-to-6-100a-b-l/#___READ_THIS_to_learn_about_recent_changes_to_6.100A_6.100B_6.100L
Lecture: MW11-12.30 (26-100) Recitation: F10 (3-370) or F11 (3-370, 4-159) or F12 (4-159) or F1 (4-153) or F2 (4-153) or F1 (4-231) or F2 (4-231)

Provides an introduction to using computation to build models that can be used to help understand real-world phenomena. Topics include optimization problems, simulation models, and statistical models. Requires experience programming in Python as a prerequisite. Combination of 6.100A and 6.100B counts as REST subject.
Fall: A. Bell
Spring: A. Bell
No textbook information available