Engineering
Engineering is the creative application of science, mathematical methods, and empirical evidence to the innovation, design, construction, operation and maintenance of structures, machines, materials, devices, systems, processes, and organizations. The discipline of engineering encompasses a broad range of more specialized fields of engineering, each with a more specific emphasis on particular areas of applied mathematics, applied science, and types of application. See glossary of engineering.
Information
Information is any entity or form that provides the answer to a question of some kind or resolves uncertainty. It is thus related to data and knowledge, as data represents values attributed to parameters, and knowledge signifies understanding of real things or abstract concepts. As it regards data, the information's existence is not necessarily coupled to an observer (it exists beyond an event horizon, for example), while in the case of knowledge, the information requires a cognitive observer.
Systems Engineering
Systems engineering is an interdisciplinary field of engineering and engineering management that focuses on how to design and manage complex systems over their life cycles. At its core, systems engineering utilizes systems thinking principles to organize this body of knowledge. Issues such as requirements engineering, reliability, logistics, coordination of different teams, testing and evaluation, maintainability and many other disciplines necessary for successful system development, design, implementation, and ultimate decommission become more difficult when dealing with large or complex projects. Systems engineering deals with work-processes, optimization methods, and risk management tools in such projects. It overlaps technical and human-centered disciplines such as industrial engineering, mechanical engineering, manufacturing engineering, control engineering, software engineering, electrical engineering, cybernetics, organizational studies and project management. Systems engineering ensures that all likely aspects of a project or system are considered, and integrated into a whole.
Engineering
These experiences are not 'religious' in the ordinary sense. They are natural, and can be studied naturally. They are not 'ineffable' in the sense the sense of incommunicable by language. Maslow also came to believe that they are far commoner than one might expect, that many people tend to suppress them, to ignore them, and certain people seem actually afraid of them, as if they were somehow feminine, illogical, dangerous. 'One sees such attitudes more often in engineers, in mathematicians, in analytic philosophers, in book keepers and accountants, and generally in obsessional people'.
The peak experience tends to be a kind of bubbling-over of delight, a moment of pure happiness. 'For instance, a young mother scurrying around her kitchen and getting breakfast for her husband and young children. The sun was streaming in, the children clean and nicely dressed, were chattering as they ate. The husband was casually playing with the children: but as she looked at them she was suddenly so overwhelmed with their beauty and her great love for them, and her feeling of good fortune, that she went into a peak experience . . .
Colin Wilson in New Pathways In Psychology, p. 17
Systems Engineering
Today at Martin an entirely new concept, known as Martin Systems Engineering, is resulting in the production of new aircraft, guided missiles and electronics weapons designed not as yesterday's flying vehicles but as the coordinated and controlled spaceborne systems of tomorrow. The principle of Martin Systems Engineering now makes possible developments in airpower that may change the shape of things to come-our way.
1953 Advertising text by Glenn L. Martin Company, published in: Aeronautical Engineering Review. (1953) Vol 12. p. 132; Air Force Magazine (1953). Vol. 36. p. 92; American Aviation (1953). Vol. 17. p. 94; Flying Magazine, Dec. 1953; United States Army Combat Forces Journal (1953) Vol. 4, p. 4; and other magazines.
Information
If you torture the data enough, nature will always confess.
Ronald Coase "How should economists choose?" Warren Nutter Lecture, 1981. Reprinted in Essays on Economics and Economists (1994) p. 27.
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