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.
The SE perspective is based on systems thinking. Systems thinking is a unique perspective on reality—a perspective that sharpens our awareness of wholes and how the parts within those wholes interrelate. When a system is considered as a combination of system elements, systems thinking acknowledges the primacy of the whole (system) and the primacy of the relation of the interrelationships of the system elements to the whole. Systems thinking occurs through discovery, learning, diagnosis, and dialog that lead to sensing, modeling, and talking about the real-world to better understand, define, and work with systems. A systems thinker knows how systems fit into the larger context of day-to-day life, how they behave, and how to manage them.
Systems engineering includes procuring, specifying, designing, implementing, validating, deploying and maintaining socio-technical systems. It is concerned with the services provided by the system, constraints on its construction and operation and the ways in which it is used to fulfill its purpose or purposes.
Source: https://cs.ccsu.edu/~stan/classes/CS530/Notes18/19-SystemsEngineering.html
In systems engineering, information systems and software engineering, the systems development life cycle (SDLC), also referred to as the application development life-cycle, is a process for planning, creating, testing, and deploying an information system.[1] The systems development life cycle concept applies to a range of hardware and software configurations, as a system can be composed of hardware only, software only, or a combination of both.[2] There are usually six stages in this cycle: requirement analysis, design, development and testing, implementation, documentation, and evaluation.
Manufacturing systems engineering will be greatly affected by advances in technology, including cheaper, ubiquitous sensors, increasing computational speeds, the ability to hold more data and move it faster, and artificial intelligence.
Source: https://www.tandfonline.com/doi/abs/10.1080/00207543.2017.1395491?journalCode=tprs20