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Course Criteria
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3.00 Credits
Topics related to connection-oriented packet network architectures, such as: frame relay, the asynchronous transfer mode(ATM), multi-protocol label switching (MPLS), and generalized multi-protocol label swiching (GMPLS), signalling protocols, and related quality-of-service issues. Restricted to students in CSC,CPE,CNE,CNC,ORC,ORE.
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3.00 Credits
Workload characterization, collection and analysis of performance data, instrumentation, tuning, analytic models including queuing network models and operational analysis, economic considerations.
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3.00 Credits
Algorithm behavior and applicability. Effect of roundoff errors, systems of linear equations and direct methods, least squares via Givens and Householder transformations, stationary and Krylov iterative methods, the conjugate gradient and GMRES methods, convergence of method.
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3.00 Credits
A theoretical and practical study of the computational models supporting the creation of interactive narrative systems. Topics include basic introductions to cognitive, linguistic and film theoretic models of narrative; representations and reasoning techniques from artificial intelligence related to the creation of storylines, dialog, camera control and other features of narrative in text-based and/or 3D virtual worlds; mechanisms for controlling character behavior in multi-agent multi-user stories; and applications of these techniques ranging from interactive entertainment to educational software to training simulations.
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3.00 Credits
Introduction to basic parallel architectures, algorithms and programming paradigms; message passing collectives and communicators; parallel matrix products, domain decomposition with direct and iterative methods for linear systems; analysis of efficiency, complexity and errors; applications such as 2D heat and mass transfer.
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3.00 Credits
An introduction to storage systems architecture in an enterprise. Begins with a review of the individual components of a system (eg, hard disk drives, network interfaces), and shows how to aggregate those into storage systems. Tradeoffs involving factors such as cost, complexity, availability, power and performance. Discussion of information management strategies, including data migration. Guest lectures by representatives from local industry. Students work in teams on a semester-long project.
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1.00 - 6.00 Credits
Topics of current interest in computer science not covered in existing courses.
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1.00 Credits
Introduction for new graduate students to (a) information about graduate program, department, and university resources, and (b) research projects conducted by CSC faculty.
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1.00 - 3.00 Credits
Individual investigation of topics under the direction of member(s) of the graduate faculty.
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1.00 - 3.00 Credits
Teaching experience under the mentorship of faculty who assist the student in planning for the teaching assignment, observe and provide feedback to the student during the teaching assignment, and evaluate the student upon completion of the assignment.
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