ORIE 5258
Last Updated
- Schedule of Classes - July 2, 2025 11:52AM EDT
- Course Catalog - March 17, 2025 8:31AM EDT
Classes
ORIE 5258
Course Description
Course information provided by the 2024-2025 Catalog. Courses of Study 2024-2025 is scheduled to publish mid-June.
Python is rapidly becoming a golden standard for quantitative finance. In this course students will be exposed to the powerful and fast open-source data science libraries and specific applications of analyzing financial data sets.
Prerequisites/Corequisites Prerequisite: ENGRD 2700 and familiarity with Python.
Permission Note Enrollment limited to: first semester ORIE FE MEng students.
Last 4 Terms Offered 2025SP, 2024FA, 2023FA, 2022FA
Outcomes
- Students will enhance their knowledge of Python and Python libraries as they pertain to financial applications.
- Students will apply their data analysis and statistical knowledge for financial modeling and will work with financial data sets.
- Students will learn how to draw insights from data science algorithms with the help of Python packages.
When Offered Fall.
Comments Non-ORIE FE MEng students may apply if there is capacity by reaching out to Victoria Averbukh at vza1@cornell.edu.
Seven Week - First.
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Credits and Grading Basis
1.5 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- TR
- Jan 21 - Mar 11, 2025
Instructors
Aldridge, I
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Additional Information
Instruction Mode: Distance Learning-Synchronous
Priority given to: first-year Master of Engineering (MEng) Financial Engineering students. Email orie-ug-support@cornell.edu to be added to the waitlist.
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