IRIS Laboratory Courses

Automated computer vision is still a field with practically unlimited challenges. While it is true that much progress has been made, there still remains much work to be done before computer vision can truly challenge the perception of the human eye and brain. Computer vision and the related areas of image processing, pattern recognition, and sensor fusion deal extensively with digital computers, imaging devices (cameras and scanners), supporting hardware configurations and software to implement the algorithms needed for particular tasks. The basic skills required for a person studying in the computer vision area are mathematics and computer software. A person can acquire part of these skills while studying for a BS degree in Electrical and/or Computer Engineering.

The listing below comprises the courses in the Electrical and Computer Engineering Department that support the computer vision area. Other courses are available in the Mathematics Department and Computer Science Department that are often taken in support of both the MS and Ph.D. in Electrical Engineering and Electrical and Computer Engineering are given in The University of Tennessee's Graduate Catalog.