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Course Criteria
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0.00 Credits
(0 sem. hrs.) The Comprehensive Examination is intended to be a culminating measure of one's accumulated graduate program knowledge. Students will take a 200 question multiple choice exam designed to evaluate accrued knowledge covering the core CACREP content areas. This exam also is modeled after licensure exams in the state of Ohio. The exam is offered three times yearly to correspond with the three graduation dates. Students sit for the exam in the term prior to their expected graduation, and they must pass the exam in order to be eligible for graduation. Students who do not pass the exam will be given a period of one month to study for a second attempt. Students who fail the exam a second time may be required to participate in a formal remediation process and will be required to wait until the next scheduled offering for their third attempt. A minimum score of 70% is required to pass this exam. The comprehensive examination is intended to be a culmination experience of on's graduate program. Comprehensive examination will be offered in January for May graduation, May for August graduation, and September for December graduation of each year. Candidates must register for the comprehensive examination, COU690, in the semester/term prior to anticipated graduation. Candidates will not be considered for graduation until they have passed the comprehensive examination.
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3.00 Credits
(3 sem. hrs.) An introduction to computers and computer information systems. A survey of the nature and use of computer software, computer hardware, and computer networks. Emphasis is on the development of computer literacy through an exploration of computer systems, computer applications, and the social and societal issues that arise with the widespread use of computers. Does not satisfy the Natural Sciences requirement. (Fall and Spring)
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0.00 - 4.00 Credits
(4 sem. hrs. (3 lecture, 1 lab)) Breadth-first introduction to computer science. Data representation, algorithmic problem solving, basic concepts in hardware, operating systems, networking, graphics, artificial intelligence, and an introduction to the limitations of computing. Exercises include simulation, introductory programming in the Internet environment, and the development and comparison of algorithms. Laboratories emphasize the use of computers for modeling complex phenomena or for analyzing data, and the use of programs for solving interdisciplinary problems. Provides computer science and computer information systems majors with a solid foundation for further study and offers non-majors a broad introduction to the scientific techniques of the discipline. Three recitations and one 2-hour laboratory period per week. (Fall Only) PREREQUISITE: Placement into, completion of, or concurrent enrollment in a 100 level or higher math course.
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3.00 Credits
(3 sem. hrs.) Introduction to problem-solving methods and algorithm development; design, coding and documentation of programs in an object-oriented high-level programming language. (Spring) PREREQUISITES: CPS150
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3.00 Credits
(3 sem. hrs.) A continuation of CPS201. The development of a disciplined approach to the design, coding and testing of computer programs. A study of object-oriented design. Topics include arrays, strings, pointers, and recursion. (Fall) PREREQUISITES: CPS201
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3.00 Credits
(3 sem. hrs.) Intermediate and advanced spreadsheet modeling using current spreadsheet software. Students will develop spreadsheet models that aid research and provide decision support within an organization. Included are such topics as the design and management of worksheets and templates, statistical, financial, database, and spreadsheet manipulation functions, dynamic Web publishing, and basic spreadsheet programming. PREREQUISITES: CPS100 or CPS150 or CPS 201 (Spring)
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3.00 Credits
(3 sem. hrs.) The techniques and algorithms used in a business environment are studied. Structured design is emphasized and programs typical of business applications are developed and written using a suitable language and tools. (Fall of odd-even years) PREREQUISITES: CPS201
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3.00 Credits
(3 sem. hrs.) An introduction to the organization and structure of the major hardware components of computers; fundamentals of logic design; coding, number representation and arithmetic and simple computer architecture. (Spring of odd-even years) PREREQUISITES: CPS201
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3.00 Credits
(3 sem. hrs.) Computer architecture, instruction sets, memory management, device management, information management, systems structure, and performance evaluation. (Fall of even-odd years) PREREQUISITES: CPS201
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3.00 Credits
(3 sem. hrs.) Basic data structures such as stacks, queues, lists, trees and graphs; utilization of algorithmic analysis and design criteria in the selection of methods of data manipulation; hashing, searching, merging and sorting algorithms and algorithm complexity and efficiency. (Fall of even-odd years) PREREQUISITES: CPS202
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