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Course Criteria
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3.00 Credits
Overview of software design and design methods, focusing on object-oriented design. Software implementation issues, emphasizing object-oriented development environments. Implementation of a significant project using object-oriented methods and tools.
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3.00 Credits
Introduction to primary approaches to machine learning. Methods selected from decision trees, neural networks, statistical learning, genetic algorithms, and reinforcement learning. Theoretical concepts associated with learning, such as inductive bias and Occam's razor.
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3.00 Credits
Properties underlying text processing and their application in terms of compression and encryption. Retrieval models. Digital libraries. Web applications (browsing, hypertext).
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3.00 Credits
Research-oriented study of topics of current academic or industrial interest, such as parallel algorithms, VLSI design, computational geometry, logic programming languages, program correctness, information retrieval systems, and decision support systems.
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3.00 Credits
(1 cr; SP-Master's student, adviseand DGS consent)
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3.00 Credits
Deterministic Turing machines and class P, nondeterministic computation and class NP, relationship between P and NP, polynominal transformations, and NPcompleteness. Solutions and approximation algorithms for NP-complete problems. Cook's Theorem, halting problem, Church's thesis, polynomial hierarchy.
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3.00 Credits
Hardwired and microprogrammed controllers. Memory devices and memory subsystem organization, including virtual memories and caches. Computer networks. Pipelined, vectorized, and parallel computer systems. Algorithmically specialized functional units.
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3.00 Credits
Overview of systems programs with emphasis on unifying themes common to major application areas, such as compiler construction, operating systems, and networks. Advanced study of practical aspects of one of these systems, including a substantive software development project.
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3.00 Credits
Currently available computer graphics techniques. Curve and surface representation, solid modeling, visible surface determination, rendering, and illumination techniques. Advanced algorithms for scan-conversion, clipping, and anti-aliasing.
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3.00 Credits
Methods, major models, and theoretical issues in automatic processing and retrieval of text. Statistical and syntactic approaches in automatic text transformation. Very large database issues (data mining and fusion). Internet applications, knowledge-based processing. Hypertext and multimedia approaches.
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