Implementation in the context of "Models of computation"

Public policy is an institutionalized proposal or a decided set of elements like laws, regulations, guidelines, and actions to solve or address relevant and problematic social issues, guided by a conception and often implemented by programs. These policies govern and include various aspects of life such as education, health care, employment, finance, economics, transportation, and all over elements of society. The implementation of public policy is known as public administration. Public policy can be considered the sum of a government's direct and indirect activities and has been conceptualized in a variety of ways.

They are created and/or enacted on behalf of the public, typically by a government. Sometimes they are made by Non-state actors or are made in co-production with communities or citizens, which can include potential experts, scientists, engineers and stakeholders or scientific data, or sometimes use some of their results. They are typically made by policy-makers affiliated with (in democratic polities) currently elected politicians. Therefore, the "policy process is a complex political process in which there are many actors: elected politicians, political party leaders, pressure groups, civil servants, publicly employed professionals, judges, non-governmental organizations, international agencies, academic experts, journalists and even sometimes citizens who see themselves as the passive recipients of policy."

In computer science and computer engineering, a computer architecture is the structure of a computer system made from component parts. It can sometimes be a high-level description that ignores details of the implementation. At a more detailed level, the description may include the instruction set architecture design, microarchitecture design, logic design, and implementation.

Systems engineering is an interdisciplinary field of engineering and engineering management that focuses on how to design, integrate, and manage complex systems over their life cycles. At its core, systems engineering utilizes systems thinking principles to organize this body of knowledge. The individual outcome of such efforts, an engineered system, can be defined as a combination of components that work in synergy to collectively perform a useful function.

Issues such as requirements engineering, reliability, logistics, coordination of different teams, testing and evaluation, maintainability, and many other disciplines, aka "ilities", necessary for successful system design, development, 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, production systems engineering, process systems engineering, mechanical engineering, manufacturing engineering, production engineering, control engineering, software engineering, electrical engineering, cybernetics, aerospace engineering, organizational studies, civil engineering and project management. Systems engineering ensures that all likely aspects of a project or system are considered and integrated into a whole.

An instruction set architecture (ISA) is an abstract model that defines the programmable interface of the CPU of a computer; how software can control a computer. A device (i.e. CPU) that interprets instructions described by an ISA is an implementation of that ISA. Generally, the same ISA is used for a family of related CPU devices.

In general, an ISA defines the instructions, data types, registers, and the programming interface for managing main memory such as addressing modes, virtual memory, and memory consistency mechanisms. The ISA also includes the input/output model of the programmable interface.

Instructional design (ID), also known as instructional systems design and originally known as instructional systems development (ISD), is the practice of systematically designing, developing and delivering instructional materials and experiences, both digital and physical, in a consistent and reliable fashion toward an efficient, effective, appealing, engaging and inspiring acquisition of knowledge. The process consists broadly of determining the state and needs of the learner, defining the end goal of instruction, and creating some "intervention" to assist in the transition. The outcome of this instruction may be directly observable and scientifically measured or completely hidden and assumed.

Learning theories also play an important role in the design of instructional materials. Theories such as behaviorism, constructivism, social learning, and cognitivism help shape and define the outcome of instructional materials.There are numerous instructional design models, but many are based on the ADDIE model with its five phases: analysis, design, development, implementation, and evaluation.