Introduction to Computational Thinking and Data Science
MIT 6 .100B
Subject & Catalog Number
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Course Information
Description
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.
Class Notes
See MIT Schedule for times and locations;
Faculty: John V. Guttag;
Prereq: 6.100A or permission of instructor;
Subject Level: Undergraduate
School
Non-Harvard
Units
6
Cross Reg
Available for Harvard Cross Registration
Department
Mass Institute of Technology
Course Component
Regular Course
Subject
MIT Elec Eng and Comp Sci
Grading Basis
MIT Optional (LG/AUD)
