Catalog Course Description

Data, Prediction and Law allows students to explore different data sources that scholars and government officials use to make generalizations and predictions in the realm of law. The course will also introduce critiques of predictive techniques in law. Students will apply the statistical and Python programming skills from Foundations of Data Science to examine a traditional social science dataset, “big data” related to law, and legal text data.

Summer Term

10 hours of Student-instructor coverage of course materials per week and 20 hours of Outside Work Hours per week.

Fall Term

4 hours of Student-instructor coverage of course materials per week and 8 hours of Outside Work Hours per week.

Spring Term

4 hours of Student-instructor coverage of course materials per week and 8 hours of Outside Work Hours per week.