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 |