ECE 657A - Data and Knowledge Modeling and Analysis





Engineers encounter data in many of their tasks. Whether the sources of this data may be experiments, databases, computer files, or the Internet, there is a dire need for effective methods to model and analyze the data and extract useful knowledge and information from it. This course aims to provide engineering graduate students with essential knowledge of data representation, grouping, mining and knowledge discovery

Instructor: Prof. Mark Crowley
Course Outline:
Discussion Board: Piazza
Full Website: DKMA (news, assignments, readings and more)
Office: ECE 4114
Twitter: @compthink

course outline68 KB

Related Materials