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Course Criteria
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3.00 Credits
Overview of network security threats and vulnerabilities. Techniques and tools for detecting, responding to and recovering from security incidents. Fundamentals of cryptography. Hands-on experience with programming techniques for security protocols. This course, a version of CSE 343 for graduate students, requires research projects and advanced assignments. Credit will not be given for both CSE 343 and CSE 443. Prerequisite: CSE 342 or CSE 303 or CSE 403 or CSE/ECE 404.
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3.00 Credits
Study of algorithms, architectures, and implementations of WWW search engines. Information retrieval (IR) models; performance evaluation; properties of hypertext crawling, indexing, searching and ranking; link analysis; parallel and distributed IR; user interfaces. This course, a version of 345 for graduate students, requires research projects and advanced assignments. Credit will not be given for both CSE 345 and CSE 445.
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3.00 Credits
Modern data mining techniques: data cleaning; attribute and subset selection; model construction, evaluation and application. Algorithms for decision trees, covering algorithms, association rule mining, statistical modeling, model and regression trees, neural networks, instancebased learning and clustering covered. This course, a version of CSE 347 for graduate students, requires research projects and advanced assignments. Credit will not be given for both CSE 347 and CSE 447. Prerequisites: Math 231 or permission of the instructor
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3.00 Credits
Contemporary computer games: techniques for implementing the program controlling the computer opponent; using Artificial Intelligence in contemporary computer games to enhance the gaming experience: pathfinding and navigation systems; group movement and tactics; adaptive games, game genres, machine scripting language for game designers, and player modeling. This course, a version of 348 for graduate students requires advanced assignments. Credit will not be given for both CSE 348 and CSE 448.
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3.00 Credits
Selected topics in computer science not included in other courses. May be repeated for credit.
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3.00 Credits
Algorithms employed in mobile robotics for navigation, sensing, and estimation. Common sensor systems, motion planning, robust estimation, Bayesian estimation techniques, Kalman and particle filters, localization and mapping. This course, a version of CSE 360 for graduate students will require an independent project to be presented in class. Credit will not be given for both CSE 360 and CSE 460. Prerequisites: Math 205 and CSE 109 or their equivalents.
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1.00 - 3.00 Credits
Regular meetings focused on specific topics related to the research interests of department faculty. Current research will be discussed. Students may be required to present and review relevant publications. May be repeated for credit up to a maximum of three (3) credits. Prerequisite: Consent of instructor.
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1.00 - 3.00 Credits
An intensive study, with report of a topic in computer science that is not treated in other courses. May be repeated for credit. Prerequisite: Consent of instructor.
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4.00 Credits
Techniques, materials, and methods of designing sound for theatrical production. (HU)
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4.00 Credits
Dress and culture in the Western Hemisphere from prehistory to today. The evolution of silhouette, garment forms and technology. The relationship of fashion to politics, art and behavior. Cultural and environmental influences on human adornment. (HU)
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