IS 4440 Social Media Data Analysis 3.0 Credits
This elective course explores data analytic methods for collecting, analyzing, and visualizing social media content to understand emerging trends across social, organizational, and cultural contexts. Students will work with diverse data types, including text, interactions, and networks, and apply techniques such as natural language processing, machine learning, statistical modeling, and network analysis. The course emphasizes connecting online behavior to underlying social processes and addressing ethical, methodological, and platform-specific challenges in studying digital traces. Students will learn data harvesting, API use, study/research design, and responsible interpretation of social data.
Repeat Status: Not repeatable for credit
Prerequisites: (IS 1310 [Min Grade: D] or BMES 1610 [Min Grade: D] or INFO 212 [Min Grade: D] or BMES 201 [Min Grade: D]) and (IS 2320 [Min Grade: D] or MATH 2801 [Min Grade: D] or STAT 2201 [Min Grade: D] or PHYS 4801 [Min Grade: D] or MATH 1801 [Min Grade: D] or ECE 3700 [Min Grade: D] or BMES 2110 [Min Grade: D] or INFO 332 [Min Grade: D] or MATH 311 [Min Grade: D] or STAT 202 [Min Grade: D] or PHYS 440 [Min Grade: D] or MATH 410 [Min Grade: D] or ECE 361 [Min Grade: D] or BMES 310 [Min Grade: D])