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Course Criteria
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4.00 Credits
Prerequisite: A score of 16 on the Reading portion of the Enhanced ACT or REA 1013 with a grade of "C" or better.Introduction to problem solving methods and algorithm development which emphasizes the imperative first approach; designing, debugging, looping, scope rules, functions, and a variety of applications in an object-oriented programming language. Three hours of lecture and two hours of lab per week. (Offered in the Fall only.)
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4.00 Credits
Prerequisite: CSC 1614 or CSC 2323 or permission of instructor. An introduction to problem solving methods, algorithm development, designing, debugging, and documentation in C++ language with a variety of applications including: I/O statements, arithmetic, logical, conditional, looping, methods/functions, and array processing. Three hours of lecture and two hours of lab per week. (Offered in the Fall only.)
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4.00 Credits
Prerequisite; CSC 2134. Continued program and algorithm development and analysis: search/sort methods; abstract data types and object-oriented design; designing and debugging larger programs using C++ language. Four hours of lecture and a required lab component. (Offered in Spring only.)
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3.00 Credits
Prerequisite: A score of 16 on the Reading portion of the Enhanced ACT or REA 1013 with a grade of "C" or better.This course is a programming course with emphasis on the syntax and structure of FORTRAN programming using problem solving applications in mathematics, engineering and science. Three lecture hours per week with laboratory assignment.
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4.00 Credits
Prerequisite: CSC 1614. Continuation of the object-oriented language from CSC 1614 and advanced program development; algorithm analysis; string processing; recursion; internal search/sort methods; simple data structures; debugging, and testing of large programs. Four hours of lecture per week with lab assignments. (Offered in Spring only.)
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3.00 Credits
Prerequisite: MAT 1613 or permission of instructor, and a structured computer programming course. Topics from logic and mathematical reasoning, set theory, recursion, combinatorics, number theory, Boolean algebra, digital logic, and graph theory, which are fundamental to the study of Computer Science. Three lecture hours per week with laboratory assignments.
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3.00 Credits
Concepts of electronics as related to computer systems. Topics include DC/AC fundamentals, instrument and test equipment familiarization, soldering, terminology, and assembly/repair techniques. Two lecture and four lab hours per week.
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3.00 Credits
Prerequisite: Permission of the instructor A survey of computer components. Topics include hardware and software components and interactivity, compatibility, and system architecture such as processors, memory, input devices, video displays, disk drives, modems, and printers. Two lecture and two lab hours per week.
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3.00 Credits
Fundamentals of operating systems structure and concepts. Major operating systems' fundamentals, utilities, and features. Emphasis is placed on support personnel interaction with the platform to assist users in business environments. Two lecture and two lab hours per week.
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3.00 Credits
Concepts of telephony, data transmission, transmission protocols, and topology methods. Emphasis placed on the OSI Model and how it relates to standards within local area networks, wide area networks, and other topologies. Two lecture and two lab hours per week.
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