Bøger af Stan Fulcher

Computer engineering is a subfield of electrical engineering that combines the fields of electronics engineering and computer science required for creating computer software and hardware. The set of instructions that is stored and helps run the hardware comprise the software components. The physical parts of a computer such as mouse, the central processing unit (CPU), storage, and printer are the hardware components. The main activities of computer engineering include designing, developing and testing computer hardware and software. They also analyze and evaluate the results of computer testing, and update the outdated equipment so that it can become compatible to be utilized with new software or hardware. Computer engineering is further subdivided into various sub-areas including machine intelligence, embedded systems, automation, cybersecurity, networking, and software engineering. This book aims to shed light on the various software and hardware systems used in computer engineering. It traces the progress of this field and highlights some of its key concepts and applications. Those in search of information to further their knowledge will be greatly assisted by this book.

A computer system is made up of several components including input and output devices, a central processing unit (CPU), storage devices and memory. All these components work together as a single unit to produce the desired result. A computer system can be of various sizes and shapes. It can range from a high-end server to a laptop, personal desktop, smartphone, or a tablet. A system model is a tool that predicts the performance of a system under changing circumstances. System modeling refers to a process that involves developing abstract models of a system, wherein each model presents a different view of that system. It involves representing a system using some kind of graphical notation, which can be used by analysts to understand the system's functionality. The process of observing systems for troubleshooting or development purposes is known as systems analysis. Probabilistic modeling methods are applied in the study of computer systems. Models may be analyzed using queuing theory models or stochastic processes. This book aims to shed light on the modeling and analysis of computer systems. It will serve as a valuable source of reference for graduate and postgraduate students.