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Show Technology — Data Processing Program: Data Processing—Associate of Science Degree I. Specific course requirements for Associate of Science Degree (see index). II. III. IV. Bachelor Degree General Education requirements (see index). Data Processing course requirements: A. Data Processing 101 (4), 160 (4), 120 (4) or 140 (4) or 250 (4) or 260 (3), 201 (4), 215 (4), 274 (4), 275 (4), 280 (4). B. An overall G.P.A. of at least 2.25 in Data Processing courses. Support courses required: A. Accounting 201 (4), 202 (4), 203 (4). B. Office Administration 225 (4). C. Mathematics 105 (5). Program: Data Processing—Institutional Diploma I. Specific course requirements for Associate of Science Degree (see index). A minimum of 20 credit hours of General Education electives. Data Processing course requirements: (32 credit hours) A. Data Processing 101 (4), 160 (4), 120 (4) or 140 (4) or 250 (4) or 260 (3), 201 (4), 215 (4), 274 (4), 275 (4), 280 (4). B. An overall G.P.A. of at least 2.25 in Data Processing courses. Support Courses required: A. Accounting 201 (4), 202 (4), 203 (4). B. Office Administration 225 (4). C. Mathematics 105 (5). II. III. IV. DATA PROCESSING COURSES 254 GElOl. 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. A W S Su 120. R.P.G. Programming (4) Problem solving and program development using the Report Program Generator. Oriented to commercial data processing problems. Prerequisites: Data Processing 101 and Math 105. S 140. Fortran IV Programming for Business (4) Application of the FORTRAN IV computer programming language for the solution of business oriented problems ueing the computer. Prerequisites: Data Processing 101 and Math 105. A 160. COBOL Programming (4) Introduction to the COBOL programming language. Program development techniques oriented to commercial data processing problems. Prerequisite: Data Processing 101. AWS 201. Data Management and File Design Concepts (4) The concepts, techniques and use of data management functions within an operating system including input/output devices, access methods and the techniques of file design and organization. Prerequisite: One programming language. A S 215. Computer Architecture (Formerly DP190) (4) A fundamental course designed to explore the specific physical and functional characteristics of computer memories and storage devices, central processor components, input/output devices, including data representations. Prerequisites: Data Processing 101 and one programming language. A W 250. Survey of Programming Languages (4) Applied concepts of programming computers with various programming languages. Prerequisites: DP101. W 260. Technical and Scientific Computing (3) Applied concepts of programming for technical and scientific students. Assumes no prior computing background, but recommends Data Processing 101 as a prerequisite. The student should have good grasp of algebra. Prerequisite: Math 105. AWS 274. Systems Analysis and Design (Formerly DP 295) (4) Feasibility study, analysis and design, computer selection, implementation, and performance monitoring. Prerequisite: Data Processing 101, a programming language, and Accounting 202. A W 275. Computer Systems Applications (Formerly DP 294) (4) Their development, design and function in commercial information processing. Emphasis is upon typical accounting systems. Prerequisites: Data Processing 274. W S 280. Assembler Language Programming (4) Computer organization, programming concepts, and techniques at an assembly language level. Prerequisite: Data Processing 215. S 289. Cooperative Work Experience (1-9) Open to students meeting criteria established from time to time by the department and on file either in the department or the Cooperative Education Office. Credit does not count toward any major, minor or degree programs. A W S Su 292. Short Courses, Workshops, Institutes and Special Program s (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 294. Computer Systems Applications (Formerly DP305) (4) The development, design and function of systems and procedures in commercial data processing. Emphasis is upon typical accounting systems. Prerequisites: Data Processing 101, a programming language, and Accounting 102. A W 295. Systems Analysis and Design (4) The conduct of the feasibility study, systems analysis and design, computer systems selection, system implementation, and system performance monitoring. Prerequisite: Data Processing 294. W S 302. Data Structures (4) Data structures such as vectors, arrays, stacks, queues, dequeues, lists, trees, binary trees, and storage management are investigated and implemented in practical problems. Prerequisites: Data Processing 201 and 215. W 310. Job Control Language and Utility Programs (4) The use of job control language and utility programs to effectively employ the powerful facilities of the operating system. Prerequisite: Data Processing 101 and a programming language. W 360. Advanced COBOL Programming (4) Computer programming of commercial data processing applications using more sophisticated techniques including modular programming, sort verb, direct access input/output, and table searches. Emphasis on structured programming techniques. Prerequisite: Data Processing 160, 201 and 215. A S 370. Data Communications Systems (4) Concepts of network organization for data communication systems. Prerequisites: Data Processing 201 and 215. W Technology — Distributive Technology 380. Advanced Systems Programming Concepts (4) Advanced concepts and techniques of systems programming. Emphasis is on the conceptual structure of an operating system and consequent implications to sophisticated software development. Prerequisites: Data Processing 201 and 280. A 395. Advanced Systems Concepts (4) Data base concepts, management information systems, distributed processing, and other advanced tools. Prerequisites: Data Processing 275 and 302. S 410. Computer Systems (4) An in-depth study for comparison, evaluation, and selection of the various types of computer equipment, software, and services. Prerequisites: Data Processing 275 and 280. A 430. Advanced Fortran Programming (4) 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 and 201. A 470. Advanced Programming & Problem Solving Techniques (4) Advanced program organization, coding, and logic techniques. Prerequisite: Either Data Processing 360, 380 or 430. W 480. Individual Projects and Research (1-3) 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. Prerequisite: Senior standing and acceptance of the students' proposal by the faculty. A W S Su 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 499. Seminar in Data Processing (1-3) Seminar treatment of current data processing topics. Open to juniors and seniors. All majors must successfully complete 3 hours of credit (1 per quarter for 3 quarters) to graduate. AWS DEPARTMENT OF DISTRIBUTIVE TECHNOLOGY Marilyn G. Mathisen, Chairperson Associate Professors: Steven H. Eichmeier, C Daniel Litchford, Lloyd A. Ott; Assistant Professors: John A. Burkes, Carl L. Grunander, Paul I. Johnson, Marilyn G. Mathisen; Instructor Specialists: Norma B. Beesley, Maureen S. Gallegos. The Department of Distributive Technology offers an Associate of Applied Science degree in the areas of Fashion Merchandising, Sales & Retailing, Transportation Management, and General Warehousing. An Institutional Certificate is awarded in Cosmetology. Objectives: The objectives of the Department of Distributive Technology are: (1) to provide vocational and technical training in the career areas of distributive technology. (2) to provide practical application of skills—for students already employed in distributive technology careers and for students working toward employment in distributive technology careers. (3) to help students understand the true essence of distributive technology careers through career exploration and cooperative work experience. (4) to develop the qualities of entrepreneurship. (5) to help prepare students for entrance and successful employment in entry-level and 255 |
