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Show Business and Economics Data Processing b. Communication 326 (3); Mathematics 211 (5), 212 (5), 213 (5), 320 (5). c. One upper division statistics course: Econ 350 (4) or Psych. 365 (4) or Math 341 (4). d. Sixteen advisor approved credit hours in Science and Mathematics beyond the General Education requirements. e. Data Processing 430 (3) is highly recommended. Program: Data Processing Minor I. General Requirements: A. A grade of C or better in minor courses. II. Specific Requirements: A. Minimum of 21 credit hours in Data Processing courses. B. Data Processing courses required (14 credit hours): Data Processing 101 (4), 160 (3); 120 (3) or 140 (3) or 250 (3) or 260 (3); 305 (4). C. Data Processing courses to elect from (seven credit hours): Data Processing 340 (2), 350 (3), 370 (3), 380 (3), 390 (3), 430 (3), 450 (4), 470 (4), 499 (2). Program: Data ProcessingAssociate of Science Degree I. General Requirements: A. Specific course requirements of the college (see index). The state requirement in American History, Government, and Economics does not need to be completed. B. General Education requirements (see index). Exceptionnine hours in the Social Science area. C. An overall G. P. A. of 2.00 or C is required. D. 93 total hours are required. II. Specific Requirements: A. Minimum of 52 credit hours. B. Data Processing courses required (31 credit hours): Data Processing 101 (4), 120 (3), 160 (3), 190 (4); 140 (3) or 250 (3), or 260 (3); 201- (3), 210 (4), 280 (3), 305 (4). C. Support courses required: Accounting 102 (4), 202 (4), 310 (4); Office Administration 325 (4); Mathematics 105 (5). Program: Data ProcessingInstitutional Diploma I. General Requirements: A. Specific course requirements of the college (see index). The state requirement in American History, Government, and Economics does not need to be completed. B. A minimum of 20 credit hours of General Education electives, including Mathematics 105 (see index). C. An overall G. P. A. of 2.00 or C is required. D. 93 total hours are required. II. Specific Requirements: A. Minimum of 47 credit hours. B. Data Processing courses required (31 credit hours): Data Processing 101 (4), 120 (3), 160 (3), 190 (4); 140 (3) or 250 (3), or 260 (3); 201 (3), 210 (4), 280 (3), 305 (4). C. Support courses required: Accounting 102 (4), 202 (4), 310 (4); Office Administration 325 (4). 88 Business and Economics Data Processing DATA PROCESSING COURSES GE101. Concepts and Applications of Data Processing (4) A general course designed to develop an appreciation and understanding of computer capabilities in many disciplines and to examine the accompanying social issues. No prior data processing experience necessary. AWSSu 120. R.P.G. Programming (3) Problem solving and program development using the Report Program Generator. Oriented to commercial data processing problems. Prerequisites: Data Processing 101 and Math 105. W S 140. Fortran IV Programming for Business (3) Application of the FORTRAN IV computer programming language for the solution of business oriented problems using the computer. Prerequisites: Data Processing 101 and Math 105. A S 160. COBOL Programming (3) Introduction to the COBOL programming language. Program development techniques oriented to commercial data processing problems. Prerequisite: Data Processing 101. A W S 190. Computer Architecture (4) A fundamental course designed to explore the specific physical and functional characteristics of computer memories and storage devices, central processor components, and input/output devices. Prerequisites: Data Processing 101 and one Programming Language. A W 201. Direct Access Storage Devices and File Design Concepts (3) The structure and function of direct access storage devices and the techniques of file design, organization, and access methods. Prerequisite: One Programming Language. A W 210. Operating Systems (4) A course emphasizing the concepts, techniques, and use of operating systems involving job management, task management, and data management for computers with multiprogramming capabilities. Prerequisite: Data Processing 190. W 250. Survey of Programming Languages (3) Applied concepts of programming computers with various programming languages. Prerequisites: DP 101. 260. Fortran IV Programming for Science (3) Applied concepts of scientific programming using the FORTRAN IV programming language Prerequisite: Math 105. A W S 280. Assembler Language Programming (4) Computer organization, programming concepts, and tech-niques at an assembly language level. Prerequisite: Data Processing 190. W S 292. Short Courses, Workshops, Institutes and Special Programs (1-6) In order to provide flexibility and to meet many different needs, a number of specific offerings are possible using this catalog number. When the number is used it will be accompanied by a brief and specific descriptive title. The specific title with the credit authorized for the particular offering will appear on the student transcript. A W S Su 301. Data Processing for Teachers of Secondary Education (5) A course designed to instruct secondary education teachers in the concepts of data flow, program logic and data processing applied to electronic data processing equipment, and methods of teaching equipment, and methods of teaching data processing. Credit cannot be applied toward the major or minor in Data Processing. Su 305. Systems Design (4) Data Processing systems development, design, and management procedures. Development and design of systems and procedures for commercial data processing. Prerequisites: Data Processing 101 and a programming language, A S 340. Computer Systems (2) An in-depth study for comparison and evaluation of the various types of computer equipment and services. Prerequisite: Data Processing 305. Two lectures. W 350. Advanced COBOL Programming (3) Computer programming of commercial data processing applications using more sophisticated techniques including modular programming, sort verb, direct access input/output, source library facility and table searches. Emphasis on structured programming techniques. Prerequisites: Data Processing 160 and 201. S 370. Data Communications Systems (3) Concepts of network organization for teleprocessing and communication systems. Prerequisites: Data Processing 210 and 305. W 380. Advanced Assembler Language Programming (3) Advanced concepts and techniques of programming with Assembler Language. Emphasis on modular and direct access input/output programming. Prerequisites: Data Processing 201 and 280. A S 390. Utility Programs and Macro Writing (3) A course designed to give the student experience with utility type programs and applied concepts of writing. Macro instructions for the computer. Prerequisite: Data Processing 280. W 430. Advanced Fortran Programming (3) Fortran IV Programming using sophisticated logic and techniques. Emphasis on modularity, direct access, input/output, and efficiency techniques. Prerequisites: Math 107 and either Data Processing 140 or 260. A 450. Advanced Systems Concepts and Analysis (4) The conduct of the feasibility study, systems analysis and design, computer systems and their selection, the implementation of the system, and monitoring its performance. Prerequisites: Data Processing 305 and 201. S 470. Advanced Programming and Problem Solving Techniques (4) Advanced program organization, coding and logic techniques. Prerequisite: Either Data Processing 350, 380 or 430. S 480. Individual Projects and Research (2-5) The purpose of this course is to permit Senior Data Processing Majors only to propose to the faculty for approval an individual project, program, system, or research which will enhance the students' skills and marketability. Prereoui-site: Senior standing and acceptance of the students' proposal by the faculty. A W S 492. Short Courses, Workshops, Institutes and Special Programs (1-6) In order to provide flexibility and to meet many different needs, a number of specific offerings are possible using this catalog number. When the number is used it will be accompanied by a brief and specific descriptive title. The specific title with the credit authorized for the particular offering will appear on the student transcript. A W S Su 199. Seminar in Data Processing (2) i Seminar treatment of current data processin-r | topics. Data Processing seniors only. Prerequisites: Data Processing 305, 380. A S 89 |