An introduction to the hardware and software organization of computer systems. The course emphasizes a multilevel model of computer organization. Topics include the digital logic level; the micro architecture level; the machine instruction set level; the operating system level; and the assembly language level. Programming assignments will be required.

An introduction to the underlying concepts of computer vision. The course will consider fundamental topics, including image formation, edge detection, texture analysis, color, segmentation, shape analysis, detection of objects in images and high level image representation. Depending on the interest of the class, more advanced topics will be covered, such as image database retrieval or robotic vision. Programming homework assignments that implement the concepts discussed in class are an integral part of the course.

An introduction to the underlying concepts of computer vision and image understanding. The first part of the course will cover fundamental topics, including image formation, edge detection, frequency analysis, color, detection of object and shapes, and geometric operations on images. The final part of the course will pivot to modern machine learning and deep learning methods for classification, object detection, pose estimation, and segmentation. Programming assignments are an integral part of the course. If earned credit for/or currently enrolled in CSCI-431 you will not be permitted to enroll in CSCI-631.

This course examines advanced topics in computer vision including motion analysis, video processing and model based object recognition. The topics will be studied with reference to specific applications, for example video interpretation, robot control, road traffic monitoring, and industrial inspection. A research paper, an advanced programming project, and a presentation will be required.