IS 4470 Network Data Analysis 3.0 Credits
Introduces the theory and analytic methods used to study complex networks through data analysis. The course emphasizes core concepts such as centrality, cohesion, prestige, and community structure, as well as computational approaches for modeling networks in online and offline environments. Students learn to collect, process, and visualize network data and to model relationships, detect communities, and interpret structural patterns using modern programming and analytical tools. Applications span social, economic, and organizational contexts. Throughout the course, students complete a series of programming assignments and support a team project that analyzes and/or builds, as well as communicates insights from a network data set.
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 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]) and (IS 3321 [Min Grade: D] or CS 3520 [Min Grade: D] or MATH 2402 [Min Grade: D] or MATH 2802 [Min Grade: D] or INFO 432 [Min Grade: D] or CS 383 [Min Grade: D] or MATH 180 [Min Grade: D] or MATH 221 [Min Grade: D])