The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.
5509. Introduction to Deep Learning
3.00 credits
Prerequisites: OPIM 5512 and 5604; open only to MBA, MSBAPM, and MS FinTech students, others with consent. Not open to students who have passed OPIM 5894 when offered as Introduction to Deep Learning.
Grading Basis: Graded
Introduction to topics related to deep learning and will build on your previous experience in predictive analytics. Use of neural networks for a host of data and applications - including time series data, text data, geospatial data, and image data.
Last Refreshed: 19-APR-24 05.20.07.775487 AM
| Term | Class Number | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Enrollment | Location | Credits | Grading Basis | Notes | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1243 11408 1 712 | Spring 2024 | 11408 | Hartford | Online Asynchronous | Wanik, Dave | 712 | Reg | 43/50 | No Room Required - Online | 3.00 | Graded | ||
| 1248 1101 1 840 | Fall 2024 | 1101 | Stamford | Online Asynchronous | Wanik, Dave | 840 | Reg | 29/46 | No Room Required - Online | 3.00 | Graded |