Spring 2024 Industrial Engineering and Operations Research E4571 section 001

TOPICS IN OPERATIONS RESEARCH

FINANCE & STRUCTURING FOR DS

Call Number 12650
Day & Time
Location
R 1:30pm-3:40pm
420 Pupin Laboratories
Points 3
Grading Mode Standard
Approvals Required None
Instructors Khosrow Dehnad
Robert Kramer
Type LECTURE
Method of Instruction In-Person
Course Description

The last decade of 20 th century witnessed a rapid convergence of three C’s: Communications, Computers, and Consumer Electronics. This convergence has given us the Internet, smart phones, and an abundance of data with Data Science playing a major role in analyzing these data and providing predictive analytics that lead to actionable items in many fields and businesses. Finance is a field with a large amount of information and data that can utilize the skills of Data Scientists, however, to be effective in this field a data scientist, in addition to analytic knowledge, should also be knowledgeable of the working, instruments, and conventions of financial markets that range from Foreign Exchange to Equities, Bonds, Commodities, Cryptocurrencies and host of other asset classes. The objective of this course is to provide Data Science students with a working knowledge of major areas of finance that could help them in finding a position in the Financial Industry. The wide range of topics covered in this course besides expanding the range of positions where students could be a fit, it gives them more flexibility in their job search. The course will also be of value to them in managing their own finances in the future.

Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 24 students (50 max) as of 1:05PM Monday, December 30, 2024
Subject Industrial Engineering and Operations Research
Number E4571
Section 001
Division School of Engineering and Applied Science: Graduate
Note DSI Section; Not approved for MSFE students
Section key 20241IEOR4571E001