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Lingenberg, W. – Unesco Bulletin for Libraries, 1970
A brief summary of the discussion, resolutions and a list of papers are given for this seminar, held at the University of Regensburg, Germany in April 1970. (AB)
Descriptors: Automation, Data Processing, Foreign Countries, Libraries
Miller, R. H. – Sci Teacher, 1970
Descriptors: Agriculture, Animal Husbandry, Computer Programs, Dairy Farmers
Holcomb, James R. – J Coll Placement, 1970
The article describes how institutions with modest funds can use less complex information retrieval techniques to aid in counseling and placement of college students. (Author)
Descriptors: College Students, Colleges, Computers, Counseling
Wong, York – AEDS J, 1970
The approach taken by Columbia University in selecting a programing language for its administrative data processing operations provides a guide for others who need to pick a programing language for an installation. A table of good and bad features of various programs is included. (DE)
Descriptors: Administrator Attitudes, Check Lists, Data Processing, Performance Criteria
Featheringham, Richard D. – J Bus Educ, 1969
Descriptors: Business Education, Character Recognition, Data Processing, Equipment Utilization
Heineke, Charles D.; Boyer, Calvin J. – ALA Bull, 1969
Descriptors: Automation, Bibliographies, College Libraries, Computers
Lesser, Richard C. – J Educ Data Process, 1969
Descriptors: Cost Effectiveness, Data Processing, Information Systems, Public Schools
CAUSE/EFFECT, 1982
Improved data processing services have increased efficiency and productivity at Pacific Lutheran. By performing administrative tasks more efficiently, the university can maintain accurate records, report information promptly, and extend better overall service to the university community. (MLW)
Descriptors: Budgets, College Administration, Computers, Data Processing
Blair, Norman A. – CAUSE/EFFECT, 1983
The ability of operating departments of an institution to mechanically gather, summarize, and report "local" data is discussed. Problems are outlined that arise when departments have the ability to produce data and do so with rigorous quality control by the institution's central information management organization. (MLW)
Descriptors: Data Processing, Databases, Higher Education, Information Processing
Emard, Jean-Paul – Online, 1983
Provides a generalized overview of the problems that software buyers are likely to encounter and could overcome. Experiences of Online, Inc., in purchasing programs, using software documentation or manuals, and problems with software, provide examples. (EJS)
Descriptors: Computer Programs, Consumer Protection, Data Processing, Databases
CAUSE/EFFECT, 1981
With a unique organizational structure, the Rockefeller University's need for administrative information systems is different from most institutions of higher education. The financial reporting needs of the many different laboratories led the university to purchase a computer-based accounting system. (MLW)
Descriptors: Accounting, College Administration, Computers, Data Processing
Peer reviewed Peer reviewed
Bartholome, Lloyd W. – Business Education Forum, 1982
The use of CP/M (Control Program Monitor)-based microcomputers in teaching word processing and data processing is explored. The system's advantages, variations, dictionary software, and future are all discussed. (CT)
Descriptors: Computer Programs, Data Processing, Dictionaries, Microcomputers
Peer reviewed Peer reviewed
Johnson, Judith J.; Josel, Clair S. – Library Resources and Technical Services, 1981
Reports the findings of a study which examined the question of submitting error reports to OCLC for the purpose of database quality control, and describes ENHANCE, a program that would provide online error correction capability for member libraries. Eight references are cited. (FM)
Descriptors: Costs, Data Processing, Databases, Information Retrieval
Peer reviewed Peer reviewed
Tesch, Robert C., Sr. – Business Education Forum, 1980
The microcomputer, an inexpensive computer unit, is now available for business education teachers to use in data processing courses. Elements of a computer course design are discussed: selecting equipment, selecting students, and course design. Explanations of the terms "hardware" and "software" are included. (CT)
Descriptors: Business Education Teachers, Computer Science Education, Data Processing, Program Design
Richmond, Sue – Journal of Business Education, 1981
The teaching of data processing in the secondary school is examined, including teachers (certification, work experience), textbooks (selection, concentration), community (advisory committees, career exploration), students (recruitment, aptitude tests), instruction methods (simulation, audiovisuals, field trips), course content (machine technology,…
Descriptors: Community Involvement, Curriculum, Data Processing, Secondary Education
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