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.
Information
As I understand the theory of period information doubling, this states that if we take one period of human information as being the time between the invention of the first hand axe, say around 50,000 BC and 1 AD, then this is one period of human information and we can measure it by how many human inventions we came up during that time. Then we see how long it takes for us to have twice as many inventions. This means that human information has doubled. As it turns out, after the first 50,000-year period, the second period is about 1500 years, say around the time of the Renaissance. By then we have twice as much information. To double again, human information took a couple of hundred years. The period speeds up—between 1960 and 1970, human information doubled.
As I understand it, at the last count human information was doubling around every 18 months. Further to this, there is a point sometime around 2015 where human information is doubling every thousandth of a second. This means that in each thousandth of a second we will have accumulated more information than we have in the entire previous history of the world. At this point I believe that all bets are off. I cannot imagine the kind of culture that might exist after such a flashpoint of knowledge. I believe that our culture would probably move into a completely different state, would move past the boiling point, from a fluid culture to a culture of steam.
Alan Moore The Mindscape of Alan Moore (2003)
Engineering
A man should build a house with his own hands before he calls himself an engineer.
Alexander Solzhenitsyn (1963), One Day in the Life of Ivan Denisovich, p. 98
Engineering
A key characteristic of the engineering culture is that the individual engineer’s commitment is to technical challenge rather than to a given company. There is no intrinsic loyalty to an employer as such. An employer is good only for providing the sandbox in which to play. If there is no challenge or if resources fail to be provided, the engineer will seek employment elsewhere. In the engineering culture, people, organization, and bureaucracy are constraints to be overcome. In the ideal organization everything is automated so that people cannot screw it up. There is a joke that says it all. A plant is being managed by one man and one dog. It is the job of the man to feed the dog, and it is the job of the dog to keep the man from touching the equipment. Or, as two Boeing engineers were overheard to say during a landing at Seattle, “What a waste it is to have those people in the cockpit when the plane could land itself perfectly well.” Just as there is no loyalty to an employer, there is no loyalty to the customer. As we will see later, if trade-offs had to be made between building the next generation of “fun” computers and meeting the needs of “dumb” customers who wanted turnkey products, the engineers at DEC always opted for technological advancement and paid attention only to those customers who provided a technical challenge.
Edgar H. Schein (2010). Dec Is Dead, Long Live Dec: The Lasting Legacy of Digital Equiment Corporation. p. 60