Education and Inequality: Big Data for Large-Scale Problems
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Course Description
In this course, students will use data from the Stanford Education Data Archive (SEDA) to study the patterns, causes, consequences, and remedies of educational inequality in the US. SEDA is based on 200 million test score records, administrative data, and census data from every public school, school district, and community in the US. The course will include lectures, discussion, and small group research projects using SEDA and other data.
Cross Listed Courses
Grading Basis
RSN - Satisfactory/No Credit
Min
3
Max
3
Course Repeatable for Degree Credit?
No
Course Component
Discussion
Enrollment Optional?
Yes
Course Component
Lecture
Enrollment Optional?
No
Does this course satisfy the University Language Requirement?
No
Programs
EDUC207
is a
completion requirement
for: