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Course Criteria
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3.00 Credits
Preq., CSC 325. Design and analysis of efficient algorithms. Topics include complex data structures, advanced searching and sorting, algorithm design techniques, and complexity analysis.
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4.00 Credits
0-4-4. Preq., Consent of instructor (cannot be applied for credit toward any Computer Science degree). Mathematical foundations of computer science; definition, application and implementation of abstract data types; algorithm design and analysis techniques. (G)
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3.00 Credits
Preq., consent of instructor. Programming paradigms, syntax, semantics, data types, expression, control statements, and subprograms; object oriented concepts, abstract data types, recursion, queues, and trees. (G)
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3.00 Credits
Preq., consent of instructor. Selected topics in the area of software design that are of current importance or special interest.
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3.00 Credits
Preq., CSC 325. Database concepts, organizations and applications; database management systems; implementation of a simple database. (G)
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3.00 Credits
Preq., CSC 310, 330. Principles of compiler design; assembler design; lexical analysis; syntax analysis; automatic parser generations; error detection and recovery. (G)
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4.00 Credits
0-4-4. Preq., CSC 425 and consent of instructor (cannot be applied for credit toward any Computer Science degree). Imperative, functional, logical and object-oriented paradigms; programming language semantics and language translation; specification, design, implementation, validation, and maintenance of large software systems. (G)
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3.00 Credits
(0-3-3). Preq., consent of instructor. Algorithm analysis and design, sorting algorithms, hashing, search trees, disjoint sets, graph algorithms, divide and conquer, greedy algorithms, dynamic programming, backtracking, and NP completeness. (G)
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3.00 Credits
Preq., consent of instructor. Selected topics in the area of programming environments that are of current importance or special interest.
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4.00 Credits
0-4-4. Preq., CSC 425 and consent of instructor (cannot be applied for credit toward any Computer Science degree). Digital logic, instruction set architectures, microprocessor design; storage management, process synchronization and communications, device management; introduction to parallel architectures, languages and algorithms. (G)
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