- Schedule of Classes - November 28, 2021 2:41PM EST
- Course Catalog - November 28, 2021 2:27PM EST
Course information provided by the Courses of Study 2021-2022.
Data science is often both about people (data of behavior), and for people (deployed models to influence behavior). Whether for online marketplaces, transportation, governmental, or urban systems, effective data science in such settings requires dealing with user incentives and strategic behavior, networked and decentralized decision-making, and feedback loops between deployed models and future data.
When Offered Fall or Spring.
Permission Note Enrollment limited to: Cornell Tech students.
Prerequisites/Corequisites Corequisite or prerequisite: Basic Probability and statistics (ENGRD 2700, CS 1380, or equivalent), and experience programming in Python. Co-enrollment in either INFO 5430 or CS 5785 is sufficient.
- Articulate common challenges in data science about and for people.
- Design, develop, and deploy data science models that effectively deal with such challenges.
Regular Academic Session. Combined with: ORIE 5355
Credits and Grading Basis
3 Credits Graded(Letter grades only)
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