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Course Criteria
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3.00 Credits
Pr. grade of at least C (2.0) in CSC 330 Concepts of block-structured, object-oriented, functional, logic, and concurrent programming languages. Comparative study of syntactic and semantic features of these languages and writing programs using them. (Spring)
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3.00 Credits
Pr. grade of at least C (2.0) in CSC 330 Practical and theoretical concepts of software engineering. (Spring)
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3.00 Credits
Pr. grade of at least C (2.0) in CSC 250, or permission of instructor High level concepts in the theoretical foundations of computer science. (Fall)
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3.00 Credits
Pr. grade of at least C (2.0) in CSC 330, or permission of instructor Contemporary database systems. Emphasis on query processing, design, and implementation of applications in relational (SQL) databases. Introduction to other database models such as XML, object-oriented, and deductive. (Fall)
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3.00 Credits
Pr. CSC 340 and senior standing, or permission of instructor Application of classroom knowledge and skills in computer science to solve real-world problems and to develop research and development skills. (Fall & Spring)
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3.00 Credits
Pr. grades of at least C (2.0) in CSC 340, CSC 350, and MAT 292, or permission of instructor Survey of graphics algorithms, data structures, and techniques. (Odd Spring)
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3.00 Credits
Pr. grades of at least C (2.0) in CSC 330, CSC 350, and MAT 292, or permission of instructor. Successful completion of STA 271 or STA 290 recommended. Image representation, enhancement, compression, coding, restoration, and wavelet transforms. (Fall)
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3.00 Credits
Pr. grades of at least C (2.0) in CSC 130, CSC 350, and MAT 293, or permission of instructor Number systems and errors, solutions of non-linear and linear systems, eigenvalue problems, interpolation and approximation, numerical differentiation and integration, solution of differential equations. (Even Spring)
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3.00 Credits
Pr. grade of at least C (2.0) in CSC 523 Continuation of 523 with special topics in numerical analysis, emphasis on applied mathematics. (Odd Fall)
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3.00 Credits
Pr. permission of instructor Introduction to the problems and methods in Bioinformatics. Problem areas include restriction mapping, map assembly, sequencing, DNA arrays, and sequence comparison. (Spring)
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