700 Level Courses
COSC 719 - Image Processing I
Prerequisites: COSC 504
This course is an introduction to Computer Vision and Image Processing fundamentals, human visual system, image resolution, binary images, gray scale images, multispectral images, digital image formats, preprocessing, image algebra, spatial filters, image enhancement, edge detection, segmentation, feature extraction, etc.. Additional topics include discrete transforms and image compression techniques.
COSC 729 - Virtual Reality and Its Applications
Prerequisites: COSC 504 or permission of instructor
The goal of this course is to introduce students to Virtual Reality(VR) hardware, software, and provide an opportunity for them to apply this knowledge to applications for education and games. This course applies cutting-edge virtual reality technology currently available in academia and industry. Students will design, model, and script the VR environment by developing a complete VR application as a group project.
COSC 731 - Principles of Data Mining
Prerequisites: COSC 528 or permission of instructor
The goal of this course is to present fundamental concepts and algorithms for those learning data mining for the first time. This course introduces and studies the concepts, issues, tasks and techniques of data mining. We will review and examine the present techniques and the theories behind them and explore new and improved techniques for real world data mining applications. Topics include data preparation, association rules, classification, clustering, scalability, time-series analysis and prediction, data mining applications etc.
COSC 735 - Advanced Wireless Security
This course covers wireless networking security at the graduate level. Students will achieve a solid understanding of wireless networking, security issues in wireless networks and how to mitigate the associated risks. At the completion of the course, students will have a thorough understanding of how to better secure various networks such as, ad hoc wireless networks, sensor networks and mobile wireless networks.
COSC 750 - Pattern Recognition I
This course provides students with an introduction to the statistical inference theory that is fundamental to the area of pattern recognition and computer vision. The main topics include Baye classification, construction of linear classifiers, parameter estimation and nonparametric estimation of probability density functions, classifiers evaluation and feature selection.