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Bernbom, Gerlad – CAUSE/EFFECT, 1991
A discussion of information management within institutions looks at the relationship between data administration, the application of formal rules and methods to information resources, and distributed data processing, the dispersion of computing functions, and data at electronically interconnected nodes within the organization. Technology, tools,…
Descriptors: Administrative Organization, Computer Oriented Programs, Data Processing, Information Systems
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
Alley, Lee; Willits, Stephen D. – CAUSE/EFFECT, 1988
Integrated Services Digital Network (ISDN) promises to integrate voice, data, text, and video services within the context of existing telephone networks. It is a set of standards, or engineering design specifications, that will permit anyone to attach any innovative device to it as long as it abides by the network's protocols. (MLW)
Descriptors: Administrators, College Administration, Computer Networks, Data Processing
CAUSE/EFFECT, 1980
The administrative computing operation of Clemson University is discussed. The university's computing history, computer hardware, and computing organization (including the Computer Center, administrative programing services, and information systems development) are described. (MLW)
Descriptors: College Administration, Computer Oriented Programs, Data Processing, Higher Education
LeDuc, Albert L. – CAUSE/EFFECT, 1986
Typical higher management expectations for the planning process are explored, along with why these expectations cannot always be met. Some limitations to planning for computer services are proposed that can make planning meaningful for operational concerns. (MLW)
Descriptors: College Administration, College Planning, Computers, Data Processing
CAUSE/EFFECT, 1985
A strategic plan for the University of Miami charts specific objectives, programmatic and financial, that will lead it to prominence among the nation's teaching and research universities. Long-range plans for the information systems and academic systems of the university are discussed. (MLW)
Descriptors: College Administration, College Planning, Computers, Data Processing
Sholtys, Phyllis – CAUSE/EFFECT, 1983
The development of information systems using an engineering approach that uses both traditional programing techniques and fourth generation software tools is described. Fourth generation applications tools are used to quickly develop a prototype system that is revised as the user clarifies requirements. (MLW)
Descriptors: Computer Programs, Data Processing, Higher Education, Information Systems
Nicholes, Walter – CAUSE/EFFECT, 1988
Man-machine interface, the concept of a computer "query," a review of database technology, and a description of the use of query languages at Brigham Young University are discussed. The pros and cons of end-user use of database query languages are explored. (Author/MLW)
Descriptors: Data Processing, Database Management Systems, Futures (of Society), Higher Education
Carlson, Bart – CAUSE/EFFECT, 1980
A site visit to the College of DuPage, a comprehensive community college, is summarized. Computer services, a master plan, computer hardware and software, and special activities (monthly newsletter and computer awareness training) of the Computer Services Department are described. (MLW)
Descriptors: Case Studies, College Administration, Community Colleges, Computer Software
Doty, Kathlyn E. – CAUSE/EFFECT, 1982
Two university administrators were interviewed to determine their views on impending budget reductions proposed by the Reagan administration. Effective use of information systems, it is suggested, can help provide solutions to the financial problems facing higher education. (MLW)
Descriptors: College Administration, Data Processing, Financial Problems, Financial Support
LeDuc, Albert L., Jr. – CAUSE/EFFECT, 1981
Beset by institutional cost pressures, and by a thriving market for computer-related talent, institutions are finding special challenges to the productivity of their computer services. The circumstances and problems of personnel turnover are outlined. Some practical responses available to institutional administrations are illustrated.
Descriptors: Data Processing, Employment Patterns, Higher Education, Information Systems
Clem, Pamela; Olson, Mark – CAUSE/EFFECT, 1987
The formation of a partnership between the Internal Audit Department's EDP auditor and the Administrative Systems Team at the University of Southern California during the implementation of a student information system is discussed. Success in security, accountability, reliability, and credibility are obtainable through such a partnership.…
Descriptors: Attitudes, Audits (Verification), College Students, Cooperation
CAUSE/EFFECT, 1983
The computing and information systems at the University of Missouri are described. All computing activity was centralized beginning in 1973 with the formation of the university computer network. Administrative data processing, financial systems, student systems, and office automation are discussed. (MLW)
Descriptors: Centralization, College Administration, Computers, Data Processing
Heydinger, Richard B.; Norris, Donald M. – CAUSE/EFFECT, 1979
Arguments for and against decentralization of data management, analysis, and planning systems are presented. It is suggested that technological advances have encouraged decentralization. Caution in this direction is urged and the development of an articulated decentralization program is proposed. (SF)
Descriptors: Administrative Organization, Centralization, Change Strategies, College Planning
St. John, Edward P. – CAUSE/EFFECT, 1985
To utilize automated technology for student aid processing, it is necessary to work with multi-institutional offices (student aid, admissions, registration, and business) and to develop automated interfaces with external processing systems at state and federal agencies and perhaps at need-analysis organizations and lenders. (MLW)
Descriptors: Data Processing, Federal Aid, Higher Education, Information Systems
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