Introductory course on design principles and applications of data visualization. This course teaches best practices for visualizing datasets from diverse domains intended to help people make sense of data. Students cannot receive credit for both CS 6730 and CS 4460.

Basic concepts and methods of artificial intelligence including both symbolic/conceptual and numerical/probabilistic techniques.

Introduction to computer vision including fundamentals of image formation, camera imaging geometry, feature detection and matching, stereo, motion estimation and tracking, image classification and scene understanding. Credit not awarded for both CS 6476 and CS 4495 or CS 4476.

Introduction to educational technology, with an emphasis on theoretical foundations. Introduces basic philosophies, approaches, and technologies. Analyzes issues surrounding technology's impact on education. Credit not awarded for both CS 4660 and CS 6460.

Through in-depth presentations and hands-on projects for each layer of the full stack of cloud technologies, learners acquire the systems design skills for cloud computing

Independent research conducted under the guidance of a faculty member.

Courses of timely interest to the profession, conducted by resident or visiting faculty.