The term Engineering Informatics may be related to information engineering (differently understood information processing), computer engineering (development of computer hardware-software systems), or computational engineering (development of software for engineering purposes), among other meanings. This word is used with different context in different countries. In general, some people assume that the central area of interest in informatics is information processing within man-made artificial (engineering) systems, called also computational or computer systems. The focus on artificial systems separates informatics from psychology and cognitive science, which focus on information processing within natural systems (primarily people). However, nowadays these fields have areas where they overlap, e.g. in field of affective computing.
Computer Engineering as a discipline of field study
Computer-aided design (CAD), intelligent CAD, engineering analysis, collaborative design support, computer-aided engineering, and product life-cycle management are some of the terms that have emerged over the past decades of computing in engineering. Codification and automation of engineering knowledge and methods have had major impact on engineering practice. The use of computers by engineers has consistently tracked advancements in computer and information sciences. Computing, algorithms, computational methods, and engineering have increasingly intertwined themselves as developments in theory and practice in both disciplines influence each other. Therefore, it is now time to begin using the term “engineering informatics” to cover the science of the information that flows through these processes.
Informatics, with origins in the German word "Informatik" referring to automated information processing, has evolved to its current broad definition. The rise of the term informatics can be attributed to the breadth of disciplines that are now accepted and envisioned as contributing to the field of computing and information sciences. A common definition of informatics adopted by many departments/schools of informatics comes from the University of Edinburgh: "the study of the structure, behavior, and interactions of natural and artificial computational systems that store, process and communicate information.” Informatics includes the science of information, the practice of information processing, and the engineering of information systems.
The history of engineering and computers shows a trend of increasing sophistication in the type of engineering problems being solved. Early CAD was primarily geometry driven (using mathematics and computer science). Then came the engineering use of AI, driven by theories of cognitive science and computational models of cognition (logic and pattern based). More recently, models of collaboration and representation and acquisition of collective knowledge have been introduced, driven by fields of social sciences (ethnography, sociology of work) and philosophy.
Information technology and sciences to have both created the need for, and play a role in, facilitating the management of complex sociotechnical processes. Information is context specific and its engineering is an integral part of any exchange among people and machines. Thus, informatics is the process of:
creating and codifying the linguistic worlds (representational structures) represented by the object worlds in the relevant domain, and
managing the attendant meanings through their contexts of use and accumulation through synthesis and classification.
Engineering informatics is a reflective task beyond the software/hardware that supports engineering; it is a cross-disciplinary perspective on the nature of collective intellectual work. It thereby becomes critical that a consciousness of the use of languages and their implications in the storage and retrieval of information in a work community be addressed as part of any information engineering task.
The role informatics plays in engineering products and services has become significant in the past decades. Most of the development has happened in an ad hoc manner, as can be expected. Techniques appeared in computer science and in programming practice; these techniques get used in engineering as is. Early computing in engineering was limited due to the capacities of computers. Computational power and telecommunications systems have started to converge, resulting in the possibilities of untethered connections and exchange of information that was just a distant dream in the early computing days. These developments have made the problems of distance less onerous and allow for global design, manufacturing, and supply chains. However, the problem of managing a global supply chain still is a daunting task with numerous incompatibilities in information exchange and coordination.
The problem of integrating entire sets of industries in a flexible and ad hoc manner is still a dream especially for small-scale industries within the larger global environment. For this dream to become a reality, standards become critical. With technology evolving continuously, the task of creating information standards for varieties of exchanges from the syntactic to the semantic is a challenge yet to be resolved.
Computer scientists or engineers by themselves cannot solve engineering informatics problems or the processes required to manage information in the context of engineered systems—it has to be a collaborative effort. The lack of skills among computer scientists in engineering and engineers in computing has led to problems bridging the disciplines. What pedagogical stance can help prepare students to deal with the complexities that are inherent in the task of engineering informatics? The culture of learning has to encourage the appreciation of diversity at the same time looking for the core essence and canonical nature of the experiences. While the products of today are increasingly designed for variety, we still have not mastered this process conceptually, let alone are we preparing our students. The fundamental characteristic of engineering informatics is that it is applicable at local levels of decision making in a design process as well as at the holistic level of product management and organizational design.
Nowadays, people are entering an era of networks where different infrastructural networks can be connected through information networks. The information network can connect the manufacturing network to the design and supply chain network in almost real time using information systems that include sensors and ID tags. One's imagination is the limit in this integrative power of information networks. It is this new complex world that we need to teach students, among other things, the ability to reflect on the information they use and how to handle this information, what it means to use (or not) computational tools, the need to create tools at different scales of inquiry and across disciplines, and how to view one's own discipline from an engineering informatics point of view.
Engineering technology areas
It encompasses engineering technology areas in:
Neural Network Engineering and Intelligent System Application
Decision Support System and Information Modelling System
Reverse Software Engineering and Reusable Software Engineering
The application of Cryptography in Computer Security System
Enterprise Architectural Framework and Application
Distributed Engineering and Business Services
Sensing, Monitoring, Control and Structural Dynamics
Human and Social Modelling for Design Simulations
Computational Engineering
Virtual Office and Optimization
Networking computing for Engineering
IT Applications in Engineering
Systems and Network Technologies
Interactive Media and Internet Development
Supply Chain and Logistics Management
etc.
Universities and institutions offering Engineering Informatics
Engineering Informatics is a field of undergraduate study in some universities and polytechnics:
