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Course Criteria
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20.00 Credits
May be taken more than once. (Credit: Variable) Instructor permission required. 1. 000 TO 20.000 Credit Hours 1. 000 TO 20.000 Other hours Levels: Graduate Doctoral, Graduate Schedule Types: Independent Study/Research College of Science & Letters College Computer Science Department
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3.00 Credits
Covers advanced topics in computer vision to enhance knowledge of students interested in this highly important area. The topics in this course may change between semesters depending on the instructor teaching the course and the current state of the art in this area. Possible topics include: Image based modeling and rendering, Multiple view geometry, Auto-calibration, Object recognition, Motion analysis, Tracking, Perceptual user interfaces, Face and gesture recognition, Active vision. 3. 000 Credit Hours Levels: Graduate Doctoral, Graduate Business, Graduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
Theoretical analysis of various types of algorithms. Topics vary, and may include approximation, quantum, on-line, distributed, randomized, and parallel algorithms. Requires CS 430. Instructor permission required. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
Introduction to advanced networking research. A particular focus area will be considered, keeping current with advances in computer networking. Quantitative methods will be emphasized. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
The course will address a new trend in computing, creating an ubiquitous environment that combines processors and sensors with network technologies (wireless and otherwise) and intelligent software to create an immerse environment to improve life. The focus is on general issues of middlewave and middlewave development, which include mobility, context awareness, resource discovery, cyber foraging, agents, QoS, P2P, web service, as well as other pervasive and ubiquitous techniques. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
CS 585 Covers various topics in linguistics as they may be applied to various computational problems in AI, NLP, or IR. The topics in this course may change between semesters depending on the instructor teaching the course and the current state of the art in this area. Possible topics include: Systemic Functional Linguistics, Clausal structure, Group structure, Complex structure, Cognitive Linguistics, Process semantics. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
Course content is variable and reflects the current trends in software engineering. Instructor permission required. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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20.00 Credits
Instructor permission required. 1. 000 TO 20.000 Credit Hours 1. 000 TO 20.000 Other hours Levels: Graduate Doctoral Schedule Types: Independent Study/Research College of Science & Letters College Computer Science Department
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1.00 Credits
Doctoral seminar. 1. 000 Credit Hours 1. 000 Other hours Levels: Graduate Doctoral Schedule Types: Seminar College of Science & Letters College Computer Science Department
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1.00 Credits
Java multithreading. Scheduling threads. How to avoid race conditions and deadlock. Network programming with TCP/IP communication. A practicum in operating systems. 1. 000 Credit Hours 1. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Accelerated Course College of Science & Letters College Computer Science Department
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