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Nord, Daryl; Seymour, Tom – Balance Sheet, 1978
After a brief discussion of the history and current status of business data processing versus computer science, this article focuses on the characteristics of a business data processing curriculum as compared to a computer science curriculum, including distinctions between the FORTRAN and COBOL programming languages. (SH)
Descriptors: Business Administration, Computer Science, Curriculum, Data Processing
Peer reviewedNord, Daryl; Seymour, Tom – Business Education Forum, 1978
The author discusses differences between the business data processing and the computer science curriculums in postsecondary education. The business data processing curriculum requires little math and science, and the computer science curriculum little business preparation. He cites characteristics of each discipline and suggests that both…
Descriptors: Business Education, College Curriculum, Comparative Analysis, Computer Science Education
Peer reviewedConger, Lucinda D. – Journal of Academic Librarianship, 1976
Discusses four basic aspects of data reference work: 1) How files are created as related to the main sources for acquisition of data files; 2) What publications help to identify available data files; 3) What variables appear in which data files; 4) What information about the physical medium of file storage is needed to use the file on a computer.…
Descriptors: Computers, Data Processing, Library Role, Library Services
Peer reviewedBoulet, Marie-Michele – Computers and Education, 1987
Presents a detailed analysis of courseware design activities based upon the use of conceptual data models for content elaboration. Highlights include discussions of computerized training systems, authoring languages and authoring systems, and the distinction between processing and data. (Author/LRW)
Descriptors: Authoring Aids (Programing), Computer Assisted Instruction, Courseware, Data Processing
Peer reviewedRosenbaum, Roberta – Journal of Education for Business, 1986
Appropriate strategies for teaching students to interpret and understand quantitative data in marketing, management, accounting, and data processing are described. Accompanying figures illustrate samples of percentage markups, trade discounts, gross earning, gross commissions, accounting entries, balance sheet entries, and percentage problems. (CT)
Descriptors: Accounting, Business Administration, Critical Thinking, Data Processing
Peer reviewedLonsdale, Deryle – Canadian Modern Language Review, 1984
Because automated natural language processing relies heavily on the still developing fields of linguistics, knowledge representation, and computational linguistics, no system is capable of mimicking human linguistic capabilities. For the present, interactive systems may be used to augment today's technology. (MSE)
Descriptors: Data Processing, Information Science, Linguistics, Programing Languages
Urrows, Henry; Urrows, Elizabeth – Optical Information Systems, 1988
Describes the latest technology in videotape cassette systems and other magnetic storage devices and their possible effects on optical data disks. Highlights include Honeywell's Very Large Data Store (VLDS); Exabyte's tape cartridge storage system; standards for tape drives; and Masstor System's videotape cartridge system. (LRW)
Descriptors: Computer Storage Devices, Data Processing, Information Storage, Optical Data Disks
Peer reviewedHollenberg, Dennis – Journal of the American Society for Information Science, 1986
This three-part article introduces a population dynamics model of an information processing system. The first part describes the general model and defines the terms used, the second describes the functional relationships between components, and the third explores the hypothesized emergence of increasingly complex, hierarchical information systems.…
Descriptors: Analysis of Variance, Data Processing, Environment, Information Systems
Ritz, James R. – CAUSE/EFFECT, 1987
With more and more users in colleges and universities relying on electronic information, the need for a contingency plan in the event of a disaster has become more pressing. Setting objectives, impact analysis, interim processing strategy, working with users, and a two-level approach are discussed. (MLW)
Descriptors: College Administration, Data Processing, Higher Education, Information Technology
Valesky, Thomas C.; Connors, Eugene T. – School Business Affairs, 1987
Provides guidelines for proper computer environment, care, and handling. Successful implementation of equipment and programs depends on adequate electrical circuitry, antistatic carpeting, and proper lighting and room temperature, among other factors. Hints are also provided concerning computer furniture, care of software, and personnel…
Descriptors: Computer Software, Computer Uses in Education, Data Processing, Elementary Secondary Education
Washing, Harry A.; Boveington, Kurt W. – Personnel, 1986
Describes a recent study conducted in seven data-processing departments within five different companies that addressed the desirability of maintaining some of the more significant human resources information. Survey results indicated that past assignments and job experience with the company, training sessions attended, and projected training…
Descriptors: Data Processing, Employment Experience, Human Resources, Job Satisfaction
Lowry, Christina; Little, Robert – CAUSE/EFFECT, 1985
The benefits of prototyping as a basis for system design include better specifications, earlier discovery of omissions and extensions, and the likelihood of salvaging much of the effort expended on the prototype. Risks and methods of prototyping during rapid systems development are also noted. (Author/MLW)
Descriptors: Data Processing, Databases, Higher Education, Information Systems
Gabaldon, Diana J. – Science Software Quarterly, 1984
Discusses the general characteristics of database management systems and file systems. Also gives a basic framework for evaluating such software and suggests characteristics that should be considered when buying software for specific scientific applications. A list of vendor addresses for popular database management systems is included. (JN)
Descriptors: College Science, Computer Software, Data Analysis, Data Processing
Peer reviewedSmith, Joan – Hispania, 1985
Discusses the development of literary and linguistic computing from the compilation by Roberto Busa of an index and concordance of St. Thomas Aquinas, through the inauguration of the Association for Literary and Linguistic Computing in the 1970s, to the recent formation of the Association for Computers in the Humanities. (SED)
Descriptors: Computational Linguistics, Computer Oriented Programs, Data Processing, Indexes
Litaker, R. G.; And Others – CAUSE/EFFECT, 1985
Much of the power of the "information center" comes from its ability to effectively use fourth-generation productivity tools to provide information processing services. A case study of the use of these tools at Western Michigan University is presented. (Author/MLW)
Descriptors: Computer Science, Computers, Data Processing, Higher Education


