- Class Dates
- 08/21/2023 to 12/08/2023
- Units
- 3.0
- Delivered By
- Online Asynchronous
- Instructor(s)
-
Bongsug Chae
(bchae@ksu.edu) - Meeting Times
- Meets by Appt
- Meeting Location
- Distance Education
Social Media Analytics and Web Mining
MIS 670 - Class Number: 13125

Description:
This course is an in-depth study of a broad range of topics and techniques in the areas of social media analytics, web mining and social network analysis. Emphasis is on fundamentals of data acquisition from the web and social media platforms, transformation of these unstructured data into structured format, advanced data processing techniques for analysis, business intelligence through web crawling, analysis of web and social media data using classification, clustering, and association techniques, sentiment analysis (or opinion mining) for business decisions, visualization of unstructured data, and social network analysis.
- This class is only available in the Spring term.
- Python, R, Tableau, Network Visualization Tools (e.g., NodeXL) will be utilized.
- Familiarity with computer programming highly recommended. Students without computer programming experience strongly recommended to take MIS 665 first.
Permissions:
- Instructor Bongsug Chae's permission is required after 08/28/2023.
Prerequisites:
- Prerequisite: MANGT 366 or MIS 366 or an equivalent introductory computing course.
Enrollment Restrictions:
- DE only (Distance Education)
- Enrollment Dates
- 03/20/2023 to 08/21/2023
- Enrollment Limit
- 36
Credit/Tuition Options
Enrollments received on or after the first day of class may be assessed a $65 special handling fee.
Courses in Kansas State University’s new tuition and fees structure charge by program type — campus-based or online — versus by individual course delivery format. Tuition and fees rates are available at k-state.edu/costs.