CAP 4764 - Advanced Topics 2: Data Center Design & Large Data Sets

Credits: 3

Prerequisites: CAP 4763 - Time Series Modeling and Forecasting
Course Description: Application of a variety of analytical tools from the curriculum used for solving real world problems, with the focus on identifying the problem, constructing an appropriate model, and finding the best available method to solve it. Topics include data center design, working with large data sets and mining information from text, including scalable supervised and unsupervised machine learning methods, visualization and extraction. Other topics covered include: Discovering heuristic rules from large data sets, handling special data types, creating methods, procedures and models for extracting and sorting large amounts of unstructured data.