Prerequisites: junior or senior classification and consent of Computer Science chairperson. This course can be taken for on- or off-campus employment related to the computer science discipline. The student must demonstrate that the experience gained on the job is at least equivalent to the material learned in a typical class. May be repeated once.
for extracting meaningful data form unstructured and structured data repositories. Topics will include data warehousing, clustering, classification, association rules mining, etc. for real-world problems.
Presents the basic ideas from 2-D and 3-D graphics and the transformations algorithms from 2-D to 3-D. The second portion of the course serves to introduce the student to programming interactive 2-D graphical user interfaces.
This course covers intermediate techniques in multimedia systems for capturing, managing, accessing, and delivering digital media over network technology. It proves the structure and environment to design, develop, and deliver web-based multimedia projects.
This course presents data mining from a database perspective. A study of methodologies and algorithms for extracting meaningful data from unstructured and structured data repositories. Topics will include data warehousing, clustering, classification, association rules mining, etc. for real-world problems.
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