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COMMUNICATION 393: Selected Topics
1.00 - 6.00 Credits
Capital University
Repeatable under different topics.
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COMMUNICATION 393 - Selected Topics
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COMPUTER SCIENCE 160: Introduction to Computer Science
3.00 Credits
Capital University
Algorithm design, algorithm development techniques and programming with emphasis on good program style. Topics include control, functions, arrays, classes and files. Corequisite: MATH 120 or permission of instructor. Offered fall semester.
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COMPUTER SCIENCE 160 - Introduction to Computer Science
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COMPUTER SCIENCE 161: Algorithms And Data Structures I
3.00 Credits
Capital University
Searching and sorting, recursion, comparative efficiencies of algorithms, and elementary data structures including stacks, queues, linked lists, graphs and trees. Prerequisite: C or better in CS 160. Offered spring semester.
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COMPUTER SCIENCE 161 - Algorithms And Data Structures I
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COMPUTER SCIENCE 170: Introduction to Unix
1.00 Credits
Capital University
An introduction to the UNIX operating system including: shell commands, editors, electronic mail, network communication, development tools and special topics. Prerequisite: none. Offered spring semester.
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COMPUTER SCIENCE 170 - Introduction to Unix
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COMPUTER SCIENCE 175: Programming in Java
2.00 Credits
Capital University
An introduction to the Java programming language and its applications. Prerequisite: CS 161. Offered fall semester in even years.
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COMPUTER SCIENCE 175 - Programming in Java
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COMPUTER SCIENCE 181: First Year Seminar
1.00 Credits
Capital University
A survey of the subjects and topics studied in a Math/CS major, as well as an exploration of other subfields of the major not typically part of the undergraduate curriculum. Students will examine the careers and opportunities available to majors after graduation. Learning methods particular to the major, including study skills, reading skills, and collaborative skills will be modeled and discussed. Computer science majors may use this course to replace one of the required four hours of CS 481. Offered fall semester.
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COMPUTER SCIENCE 181 - First Year Seminar
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COMPUTER SCIENCE 200: Digital Logic And Design
4.00 Credits
Capital University
An exploration of digital logic and its relation to computer hardware. Included are laboratory experiences in the design and implementation of combinational and sequential circuits. Prerequisite: CS 160. Offered fall semester in even years.
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COMPUTER SCIENCE 200 - Digital Logic And Design
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COMPUTER SCIENCE 225: Calculus And Modeling For Biological Sciences
4.00 Credits
Capital University
An introduction to mathematical modeling and calculus with applications to biology Topics include discrete-time dynamical systems, limits, continuity, derivatives, optimization, stability of equilibria, definite and indefinite integrals, and differential equations. Students will employ computational software to solve problems and to analyze models of various biological processes. Prerequisite: MATH 121 or placement into 225.
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COMPUTER SCIENCE 225 - Calculus And Modeling For Biological Sciences
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COMPUTER SCIENCE 230: Introduction to Database Systems
3.00 Credits
Capital University
An introduction to the theoretical foundations and practical uses of database systems, with emphasis on the relational database model. Topics include the entity-relationship model, design and normalization of relational database tables, SQL, transaction management, and concurrency control. Prerequisite: CS 160 or permission of the instructor. Offered fall semester in odd years.
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COMPUTER SCIENCE 230 - Introduction to Database Systems
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COMPUTER SCIENCE 245: Computational Science I. Gen. Ed
3.00 Credits
Capital University
An introduction to the problems and solution methodologies in computational science. Computational tools such as a computer algebra system, a high performance computing engine, visualization software and Internet resources will be used to explore and solve mathematical problems drawn from various fields of science. Co-requisite: MATH 225 or 230 or placement. (Same course offered as CSAC 245.)
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COMPUTER SCIENCE 245 - Computational Science I. Gen. Ed
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