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CS 804: Doctoral Tutorial in Information Technology
3.00 Credits
George Mason University
Credits: 3 Individualized intensive study of information technology. Notes May be repeated as needed. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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CS 811: Research Topics in Machine Learning and Inference
3.00 Credits
George Mason University
Credits: 3 Cross-Listed with IT 811 Presents unifying principles that underlie diverse methods, paradigms, and approaches to machine earning and inference. Reviews most known learning and inference systems, discusses strengths and limitations, and suggests most appropriate areas of application. Hands-on experience by experimenting with state-of-the-art learning and inference systems, and working on projects tailored to research interests. Prerequisites CS 580 or 681, or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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CS 811 - Research Topics in Machine Learning and Inference
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CS 818: Topics in Computer Systems
3.00 Credits
George Mason University
Credits: 3 Cross-Listed with IT 818 Discussion of current research topics in computer systems. Topics vary according to faculty interest. Possible topics include peer-to-peer computing, high-performance distributed computing, sensor and ad hoc networks, autonomic computing, virtualization, and web services and middleware. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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CS 818 - Topics in Computer Systems
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CS 850: Research Topics in Parallel Computation
3.00 Credits
George Mason University
Credits: 3 Cross-Listed with IT 915 Discusses current research topics that vary according to student and faculty interest. Possible topics include formal models of concurrency, specification and design of parallel programming languages, logic programming in a parallel environment, and parallel distributed processing (neural networks). Prerequisites CS 815. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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CS 850 - Research Topics in Parallel Computation
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CS 880: Research Topics in Artificial Intelligence
3.00 Credits
George Mason University
Credits: 3 Cross-Listed with IT 910 Special topics in artificial intelligence not occurring in regular computer science sequence. Prerequisites Graduate course in artificial intelligence. Notes Requires substantial student participation. Subject matter may include continuation of existing 600- or 700-level courses in artificial intelligence or other topics. May be repeated for credit when subject matter differs. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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CS 880 - Research Topics in Artificial Intelligence
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CS 884: Advanced Topics in Computer Vision and Robotics
3.00 Credits
George Mason University
Credits: 3 Cross-Listed with IT 940 Covers recent developments. Topics motivated by applications to autonomous robotic systems, mobile robot navigation, multirobot systems, human-computer-environment interaction, image/video search and analysis, content discovery, and visual surveillance. Topics include 3D structure and motion recovery, motion understanding, map building and localization, object detection and recognition, and target tracking. Projects and experimental evaluation emphasized. Prerequisites CS 682 or 685, or permission of instructor depending on topics offered. Notes Course may be repeated with change of topic. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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CS 884 - Advanced Topics in Computer Vision and Robotics
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CS 895: Research Topics in CS
3.00 Credits
George Mason University
Credits: 3 Advanced topics not occurring in regular sequence. Prerequisites Admission into computer science PhD program, or permission of instructor. Notes May be repeated for credit when subject differs. Only one such course should be used for breadth requirements. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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CS 895 - Research Topics in CS
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CS 990: Dissertation Topic Presentation
1.00 Credits
George Mason University
Credits: 1 Cross-Listed with IT 990 Students put together a professional presentation of a research proposal and present it for critique to fellow students and interested faculty. Prerequisites Completion of all course requirements for PhD, or permission of instructor. Notes May be repeated with change of research topic, but credit toward doctoral degree is given once.
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CS 990 - Dissertation Topic Presentation
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CS 998: Doctoral Dissertation Proposal
1.00 - 12.00 Credits
George Mason University
Credits: 1-12 Work on research proposal that forms basis for doctoral dissertation. Notes May be repeated as needed. No more than 24 credits of CS 998 and 999 may be applied to doctoral degree requirements. Hours of Lecture or Seminar per week 0 Hours of Lab or Studio per week 0
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CS 998 - Doctoral Dissertation Proposal
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CS 999: Doctoral Dissertation
1.00 - 12.00 Credits
George Mason University
Credits: 1-12 Formal record of commitment to doctoral dissertation research under direction of faculty member in computer science. Notes May be repeated as needed. No more than 24 credits of CS 998 and 999 may be applied to doctoral degree requirements. Hours of Lecture or Seminar per week 0 Hours of Lab or Studio per week 0
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CS 999 - Doctoral Dissertation
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