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Course Details

Spring 2018-2019
ORF 473   No Audit

Special Topics in Operations Research and Financial Engineering - Financial Technology and Data-Driven Innovation

Margaret J. Holen

In recent years, financial services have significantly evolved through data-driven innovation. This course will review the landscape broadly and then focus on case studies in automated lending enabled by machine learning. Students will study specific machine learning methods in current use and will be introduced to issues of fairness and explainability, which are increasingly important in this sector and beyond. Overall, the class will integrate mathematical finance models, machine learning methods and practical industry perspectives.

Sample reading list:
Bishop, C., Pattern Recognition and Machine Learning
Carney, M., The Future of Money
Brealey, Myers, & Allen; Saunders & Cornett, Chapters from Principals of Coprorate Finance and Financial

Reading/Writing assignments:
Students will be assigned readings to prepare for class discussions. Assignments will consist of problem sets and programming exercises in Python.

Requirements/Grading:
Mid Term Exam - 20%
Paper in lieu of Final - 30%
Oral Presentation(s) - 10%
Class/Precept Participation - 10%
Problem set(s) - 30%

Other Requirements:
Statistical, design or other software use required
Open to Juniors and Seniors Only.

Prerequisites and Restrictions:
ORF 245, ORF 309, ORF 335, or permission from the instructor.

Website:  http://orf-fintech.princeton.edu/

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
41297 L01 11:00:00 am - 12:20:00 pm T Th        Enrolled:25 Limit:25 Closed
42191 P01 07:30:00 pm - 08:20:00 pm W        Enrolled:25 Limit:25 Closed