INF 350E - Information Technology: Applied Data Mining | Spring 2016 |
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Prerequisites:
Upper-division standing. Additional prerequisites may vary with the topic.
Description:
Design and use of information technologies, including interface design, trends in information technology development, usability, information retrieval, immersive media, and information architecture.
Three lecture hours a week for one semester.
May be repeated for credit when the topics vary.
Information Studies 350E and 350W may not both be counted unless the topics vary.
This class is an undergraduate cross-listing of Dr. Wallace's graduate-level INF 385T topic of the same name.
Topic Description:
Applied Data Mining