DSC 450 - Data Mining

Units: 3
When Offered: Summer
This course examines at the entire knowledge discovery process. The focus on cutting edge, interesting data mining techniques that can be used in a wide variety of settings (business, science, web analytics, etc.). Topics include algorithmic details, implementation issues, advantages and disadvantages, and many examples of data mining. We will also include the newest topics, such as big data methods and deep learning. The course is a practical, hands-on course, covering knowledge discovery entails, the different groups of algorithms and their usefulness and shortcomings. The course culminates in a real-world project accomplished with open-source tools.
Grade Type: Letter Grade
Prerequisite(s): Permission of the Department Chair