Cookies Policy

The website of the University of Cádiz uses its own and third-party cookies to carry out analysis of use and measurement of traffic, as well as to allow the correct functioning in social networks, and in this way to improve your browsing experience.

If you want to configure cookies, press the button Customize Cookies. You can also access the cookie settings at any time from the corresponding link in the footer.

For more information about cookies you can consult the Cookies policy from the website of the University of Cádiz.

Cookies customization

The website of the University of Cádiz uses its own and third-party cookies to carry out analysis of use and measurement of traffic, as well as to allow the correct functioning in social networks, and in this way to improve your browsing experience.

For more information about cookies you can consult the Cookies policy from the website of the University of Cádiz. You can also access the cookie settings at any time from the corresponding link in the footer.

You can configure the website cookies according to their purpose:

  • Statistical analysis

    Third-party cookies (Google Analytics) are used on this site that allow the number of users to be quantified anonymously (personal data will never be obtained to identify the user) and thus be able to analyze the use made by users of our service, in order to improve the browsing experience and offer our content optimally.

  • Social networks

    Third-party cookies are used on this website that allow the proper functioning of some social networks (mainly YouTube and Twitter) without using any personal data of the user.

UniversidaddeCádiz
M·CIS Mathematics for Computational Intelligence Systems

M·CIS

This research team is leaded by Prof. Jesús Medina, who  has an experience of more than 20 years, and it has developed innovative mathematical tools for the extraction, management and prediction of information from databases, being evident in more than 200 international scientific publications, and in the different competitive research projects it leads. These tools can be used for the well-known Big Data treatment, for its strength and traceability. The use of these formal tools allows a detailed knowledge of the behavior of the analyzed knowledge system (database). This fact provides greater robustness to the obtained predictive models and to the designed recommended system and, consequently, to the final developed product. Therefore, these tools will be very interesting in the Artificial Intelligence part of the project.

 

 

Lab Head

Lab Members

PhD Students

 

 

Media

VIDEOS

  • Interview with Jesús Medina on Canal Sur TV (Spanish TV Channel):

  • Interview with Jesús Medina and María José Benítez on Onda Cadiz TV (Spanish TV Channel):

RADIO

NEWS

J. Medina is also coordinator of:
Herramientas para el tratamiento de la incertidumbre en los datos
Máster en Big Data. Universidad Internacional de Andalucía.
www.unia.es/masterbigdata