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

Empirical and Quantitative Reasoning

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.

Student Requirements:

  • Internet access

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

Credit Option Hours

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.