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金融代写|风险建模代写Risk Modeling代考|MGTS7526 SYSTEMS ENGINEERING

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金融代写|风险建模代写Risk Modeling代考|What Is a System?

The human body and each organ within it, electric power grids and all large-scale physical infrastructures, educational systems from preschool to higher education, and myriad other human, organizational, hardware, and software systems are large-scale, complex, multiscale interconnected and interdependent systems with life cycles that are characterized by risk and uncertainty along with emergent behavior. But exactly what is a system? Webster’s Third New International Dictionary offers several insightful definitions:
A complex unity formed of many often diverse parts subject to a common plan or serving a common purpose; an aggregation or assemblage of objects joined in regular interaction or interdependence; a set of units combined by nature or art to form an integral, organic, or organizational whole.

Almost every living entity, all infrastructures, both the natural and constructed environment, and entire households of tools and equipment are complex systems often composed of myriad subsystems which in their essence constitute systems of systems (SoS). Each is characterized by a hierarchy of interacting and networked components with multiple functions, operations, efficiencies, and costs; the component systems are selected and coordinated according to some existing tradeoffs between multiple objectives and operational perspectives. Clearly, no single model can ever attempt to capture the essence of such systems-their multiple dimensions and perspectives.

金融代写|风险建模代写Risk Modeling代考|What Is Systems Engineering?

Even after over half a century of systems engineering as a discipline, many engineers find themselves perplexed about the follwing question: What is systems engineering?

Systems engineering is distinguished by its practical philosophy that advocates holism in cognition and in decisionmaking. This philosophy is grounded on the arts, natural and behavioral sciences, and engineering and is supported by a complement of modeling methodologies, optimization and simulation techniques, data management procedures, and decisionmaking approaches. The ultimate purpose is to (1) build an understanding of the system’s nature, functional behavior, and interaction with its environment, (2) improve the decisionmaking process (e.g., in planning, design, development, operation, management), and (3) identify, quantify, and evaluate risks, uncertainties, and variability within the decisionmaking process.

One way of gaining greater understanding of systems engineering is to build on the well-publicized ideas of Stephen R. Covey in his best-selling book, The Seven Habits of Highly Effective People [Covey, 1989], and to relate these seven habits to various steps that constitute systems thinking or the systems approach to problem solving. Indeed, Covey’s journey for personal development as detailed in his book has much in common with the holistic systems concept that constitutes the foundation of the field of systems engineering. Even the transformation that Covey espouses, from thinking in terms of You, to $\mathrm{Me}$, to $\mathrm{We}$, is similar to moving from the perception of interactions as reactive or linear to a holistic view of connected relationships. Viewed in parallel, the two philosophies-Covey’s and the systems approach-have a lot in common. The question is: How are they related, and what can they gain from each other?

Analyzing a system cannot be a selective process, subject to the single perspective of an analyst who is responsible for deciphering the maze of disparate and other knowledge. Rather, a holistic approach encompasses the multiple visions and perspectives inherent in any vast pool of data and information. Such a systemic process is imperative in order to successfully understand and address the complexity of a system of systems [NRC, 2002].

金融代写|风险建模代写Risk Modeling代考|What Is a System?

：以常规交互或相互依赖的方式连接的对象的聚合或组合；由自然或艺术组合成一个整体的、有机的或有组织的整体的一组单元。

MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。