China
Africa
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Computer-Aided Control Systems Design
Published in William S. Levine, Control System Fundamentals, 2019
C. Magnus Rimvall, Christopher P. Jobling
A final important area for development in CACSD will be driven by the need to embed control systems design into information systems for enterprise integration. To some extent this is already happening with the need for multidisciplinary teams of engineers to work on common problems. The computer-based support of such projects requires facilities for the development and exchange of models, the storage of design data, version control, configuration management, project management, and computer-supported cooperative work. It is likely that CACSD will have to develop into a much more open set of tools supported by databases, networks, and distributed computation. The implications of some of these developments are discussed in [3].
Discussion of “Statistics = Analytics?”
Published in Quality Engineering, 2020
While datasets themselves are not typically part of the normal software development process, and thus are not well-supported by git (2017), today’s analytics projects often have complex data dependencies. It is essential to keep track of what data models are trained and tested on, and these data may change over time. Extensions to the commonly used version-control system git, such as git-annex (2019) and Data Version Control (DVC 2019) (Open-source version control system) have been developed to try and address these issues. Making git knowledge development a standard part of the analytics academic curriculum and a fifth V in the fundamentals of analytics, especially for large, multi-disciplinary projects, can serve not only to facilitate teamwork but also help to mitigate the research reproducibility crisis through improving work products and habits. More importantly, it can decrease the time required to go from business question to analytics-driven answer, thus increasing the value of analytics within an organization.