Advanced Data Mining

4 credits · College of Engineering catalogue

Advisory Prerequisite: EECS 281 and (MATH 214 or MATH 217 or MATH 296 or MATH 417 or MATH 419 or ROB 101) and (STATS 412 or MATH 425), or graduate standing. Enforced Prerequisite: None. (4 credits) Advanced topics in data mining. A mix of lectures, readings, and a semester-long group project will familiarize the students with recent methods for analyzing large-scale, real-world data and networks, and applications in various domains (e.g., web science, social science, neuroscience).