Secured funding for research and transfer can be classified according to its modality, that is, according to whether it proceeds from calls that are competitive, concerted or UC3M internal funding. This section presents the evolution of this funding in the period 2017-2020 for the Department of Systems Engineering and Automation.

Secured funding can be classified according to its sources: European programs, National programs, Regional programs, Contracts with Public Administrations, Contracts with Private Entities, Non- European International, Awards or UC3M Internal Research Program. This shows this distribution for the Department of Systems Engineering and Automation.

The area of funding allows us to classify research and transfer funds as to their location, according to whether they are: regional, national, European, Non-European international or internal. It shows the distribution of funding according to this classification for the Department of Systems Engineering and Automation.

Research and transfer funding are classified according to the following types of activity: R+D Projects, Art. 83 for R+D Projects, Consulting and Technical Services, which include consulting and technical assistance as well as recurring technical services; Other contracts and agreements, including Chairs, Sponsorships and Collaboration Agreements; Mobility, Private Competitive Funding, Industrial Doctorate and a last category that includes Financial support for Conferences, Awards and Internal Research Program.This section shows in detail funding obtained by the Department of Systems Engineering and Automation in 2019-2020.

For this classification, the tenured academic staff of the department is taken into account: full professor, professor emeritus, associate professor and lecturer. The ratio is calculated between the secured funding by the Department of Systems Engineering and Automation for each year and the staff members in these categories.

This section shows the scientific output of the Department of Systems Engineering and Automation for the period 2017-2020. It encompasses data on theses, books and book chapters, articles and conferences both national and international. The figures corresponding to scientific activity provided in this section were obtained from those published in the Research Portal of May 2021.

This encompasses the academic staff affiliated with the Department of Systems Engineering and Automation, classified according to the categories: full professor, associate professor, teaching assistant, visiting professor and assistant professor.