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COMPUTER SCIENCE 250: Computer Architecture
3.00 Credits
Capital University
An introduction to the design and organization of modern hardware components including processors, control units, and memory. Assembly language programs are used to demonstrate pipelining and the improvements and problems it produces along with other architecture concepts. The issues for super scalar architectures are also covered. Prerequisite: CS 200. Offered spring semester in odd years.
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COMPUTER SCIENCE 250 - Computer Architecture
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COMPUTER SCIENCE 330: Software Engineering
3.00 Credits
Capital University
A study of software engineering techniques as they apply to large software projects. A major software project involving all phases of the software engineering model including requirements, specification, planning, design, implementation, testing, and documentation is included. Prerequisite: C or better in CS 161. Offered spring semester in odd years.
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COMPUTER SCIENCE 330 - Software Engineering
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COMPUTER SCIENCE 335: Differential Equations And Dynamical Systems
3.00 Credits
Capital University
Solution methods for a variety of differential and difference equations are presented. Included are first and higher order differential and difference equations and discrete dynamical systems, and systems of differential and difference equations. The course uses a problem-based approach with emphasis on modeling. Computational technology facilitates exploration of analytical, graphical, and numerical solution methodologies. Prerequisites: MATH 231. Offered spring semester of even years. (Same course offered as MATH 335)
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COMPUTER SCIENCE 335 - Differential Equations And Dynamical Systems
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COMPUTER SCIENCE 340: Programming Languages
3.00 Credits
Capital University
Language design issues, data types, formal translation models, sequence and subprogram control, programming language semantics, and language paradigms. Prerequisite: CS 161. Offered spring semester in even years.
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COMPUTER SCIENCE 340 - Programming Languages
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COMPUTER SCIENCE 361: Algorithms And Data Structures II
3.00 Credits
Capital University
An advanced discussion of data structures and their role in the design of algorithms. Topics include: quantitative measures of algorithm efficiency, abstract data types, and alternative implementations of classic data structures. Prerequisites: C or better in CS 161, and MATH 225 or 230. Offered fall semester in odd years.
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COMPUTER SCIENCE 361 - Algorithms And Data Structures II
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COMPUTER SCIENCE 376: Introduction to Parallel Computing
3.00 Credits
Capital University
A first course in the design, analysis and development of parallel and distributed algorithms on different architectures. Prerequisites: C or better in CS 161 and MATH 225 or 230. Offered fall semester in even years. (Same course offered as CSAC 376.)
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COMPUTER SCIENCE 376 - Introduction to Parallel Computing
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COMPUTER SCIENCE 377: Computer Graphics I
3.00 Credits
Capital University
An introduction to two and three dimensional computer graphics hardware and software. Topics include event-driven programming, parametric equations, polygon flling, clipping, matrix transformations, hidden surface algorithms, and lighting models. Students implement algorithms using a variety of methods, including direct programming and the use of a higher level graphics application programming interface such as OpenGL. Prerequisite: CS 361. Offered spring semester in even years.
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COMPUTER SCIENCE 377 - Computer Graphics I
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COMPUTER SCIENCE 380: Operating Systems
3.00 Credits
Capital University
An introduction to modern operating systems including processes, input/output, memory management, and file systems. Theoretical concepts are explored through programming assignments. Prerequisite: CS 361. Offered spring semester in even years.
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COMPUTER SCIENCE 380 - Operating Systems
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COMPUTER SCIENCE 391: Computational Chemistry
3.00 Credits
Capital University
Topics include models for the rotation and vibration of diatomic and polyatomic molecules and their visualization, molecular mechanics using semi-empirical force fields, and molecular dynamics of polypeptides, polynucleotides, and their interactions with drugs. Prerequisites: CHEM 102, CSAC 245/CS 245, PHYS 221. (Same course offered as CHEM 391.)
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COMPUTER SCIENCE 391 - Computational Chemistry
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COMPUTER SCIENCE 392: Computational Biology
3.00 Credits
Capital University
An exploration of bioinformatics and mathematical biology. Topics include sequence alignment and analysis of DNA and proteins, modeling the physiology of the heart, statistical analysis of biology data, and the use of web-based databases. Prerequisites: MATH 121 or 130. (Same course offered as BIOL 392.) Fall, alternating years.
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COMPUTER SCIENCE 392 - Computational Biology
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