MIS 506 - Text and Unstructured Data Analytics

Course Description: This course addresses the unstructured data management skills needed for modern data analysis including those salient to big data and real-time data environments. The focus is on unstructured data and its environment. Unstructured data includes web data (blogs, text), user generated content, social media, location-aware data, and digital media among others. Topics covered include extraction methods for real time audio and video data, data capture, cleaning, representation, storage queries, manipulation, and real-time data management. Also included as they apply to unstructured data environment are data security, government, and visualization. Students will learn natural language processing and geo-spatial analytical tools.

Credit Hours: 3

Corequisite Courses: None
Prerequisite Courses: None
Additional Restrictions/ Requirements: None
Course Repeatability: Course may not be repeated Maximum Repeatable Hours: 3

ADDITIONAL COURSE INFORMATION

Equivalent Courses: None
Undergraduate Crosslisting: None
Additional Course Fees: None
Course Attribute: None

Click here for the Fall 2024 Class Schedule.