Courses
CS6630: Fuzzy Logic and its Application
3 credits
Introduction to theories and techniques of machine intelligence, with emphasis on pattern recognition, computer vision, fuzzy logic, and neural networks.
Prerequisite/Restriction: 2.0 GPA; grade of C- or better in all of the following: CS 2420, MATH 2270, STAT 2000 or STAT 3000. Not available to pre-Computer Science majors.
Semester(s) Traditionally Offered: Fall
CS5650: CVPRIP I: Computer Vision, Pattern Recognition, and Image Processing
3 credits
Introduces students to machine learning and problem solving techniques based on fuzzy logic.
Prerequisite/Restriction:
3.0 GPA; grade of B- or better in CS 2420 and advanced standing, or permission of instructor; and enrollment in Computer Science master’s or PhD program.
Semester(s) Traditionally Offered: Fall
CS7650: Advanced CVP RIP: Computer Vision, Pattern Recognition and Image Processing
3 credits
Investigates new developments in representation and processing of gray-level and color images, including thresholding, segmentation, curve detection, etc. Also examines visual perception, as well as statistical and syntactical pattern classification.
Prerequisite/Restriction:
3.0 GPA; permission of instructor and enrollment in Computer Science master’s or PhD program.
Semester(s) Traditionally Offered:
Spring
CS3810: Computer Systems Organization and Architecture
3 credits
Examines organization and high-level architecture of computer systems. Covers terminology, data representation, Boolean algebra, and combinational sequential logic circuits. Covers processor and memory design for optimal performance, I/O subsystems, networking, and computer security.
Prerequisite/Restriction:
2.0 GPA; grade of C- or better in CS 1410
Semester(s) Traditionally Offered:
Fall, Spring