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Engineering Education, 1974
Descriptors: Computer Science, Engineering Education, Equipment Manufacturers, Equipment Utilization
Mosbacher, C. J.; Thomas, E. J. – Research Development, 1977
Presents results of a trend survey of the present and planned use of electrical and electronic instruments. Microprocessors were found to have the highest predicted growth rate of all instruments included in the survey. (SL)
Descriptors: Computer Science, Electronic Equipment, Electronics, Equipment
Peer reviewed Peer reviewed
Enke, C. G. – Science, 1982
Computer applications in scientific instrumentation are traced from early data processing to modern computer-based instruments. Probable pathways toward instruments with increased "intelligence" include, among others, implementation of hierarchical computer networks and microprocessor controllers and the simplification of programing. The…
Descriptors: College Science, Computer Oriented Programs, Computer Science, Computers
Peer reviewed Peer reviewed
Science Activities, 1974
Descriptors: Catalogs, Computer Science, Educational Media, Equipment Manufacturers
Peer reviewed Peer reviewed
Davis, John F. – American Journal of Physics, 1976
Described is a method of converting vacuum-tube operated Heath analog computers (model ES-201) to linear integrated-circuits. (SL)
Descriptors: Analog Computers, Computer Science, Computer Science Education, Computers
Peer reviewed Peer reviewed
Jamieson, R. A. – Australian Science Teachers Journal, 1977
Suggestions are offered for using computers to solve scientific problems rather than focusing on computer science itself. Suggested are scientific language programming, assembly-language programming, and logical design and business language programming. A summary of available equipment and some suggestions for program implementation are included.…
Descriptors: Computer Oriented Programs, Computer Science, Computer Science Education, Curriculum
National Science Foundation, Washington, DC. Div. of Science Resources Studies. – 1984
This publication is the third in a series of biennial reports in which academic resources in science and engineering are analyzed. It is based primarily on findings from four National Science Foundation surveys that collect information on academic research and development (R&D) expenditures, federal obligations, employment of scientists and…
Descriptors: Computer Science, Degrees (Academic), Employment, Engineering Education