Enrollment and waitlist data for current and upcoming courses refresh every 10 minutes; all other information as of 6:00 AM.
| 02/01 - 05/21 | ||||||
| M | T | W | Th | F | Sa | Su |
5:45 pm |
||||||
Subject: Software Eng (Grad) (SEIS)
CRN: 26724
Online: Sync Distributed | Online: Synchronous
Online
New Artificial Intelligence approaches provide powerful capability in analyzing complex and heterogenous data that are previously difficult to analyze. The data may range from structural patient records to semi-structural medical text, images, and videos. Specifically, this course will discuss the following topics: (1) the fundamental learning methods used by machines, (2) problems, solutions, and advantages of artificial intelligence and machine learning, (3) learning and interpretation of healthcare and business data, (4) transferring existing artificial intelligence models for new business problems, (5) processing and classifying healthcare images such as X-ray or videos, (6) case study of time-series and text analytics in healthcare area and more general business domain. Prerequisite: SEIS 631 Foundations of Data Analysis
3 Credits