CSCI 536 - Data Mining

(3) Prerequisite(s): CSCI 303 and MATH 211 and MATH 212

The past few years have witnessed a boom of big data in different areas, including commercial platforms, healthcare, social networks, business, finance and more. Extracting useful and valuable information from big data can help improve quality of life and make our world a better place. The goal of this course is to introduce the fundamental concepts and techniques in data mining. Specifically, this course will cover the basic data mining concepts, graph mining, traditional clustering and classification models as well as the latest deep learning techniques. This course can help undergraduate students find a position of data scientist after graduation and do some data mining related projects for post-graduate study. In this course, students are required to do machine programming assignments, and take midterm and final exam. Cross-listed with CSCI 436