Oferta
Título de Máster en
Máster Propio en Artificial Intelligence and Deep Learning - 23190
Área de conocimiento
Ingeniería y ArquitecturaCampus Universitario
Centro
Créditos
Modalidad de enseñanza
Presencial
Idioma
Duración
Folleto Informativo
Procedimiento de admisión
Todo lo que necesitas saber para realizar tu preinscripción en Máster Propio en Artificial Intelligence and Deep Learning
Procedimiento de matrícula
Todo lo que necesitas saber para realizar tu matrícula en Máster Propio en Artificial Intelligence and Deep Learning
Título
Código del plan de estudios
Universidades participantes
Universidad de Alcalá
Contacto
José Ignacio Olmeda Martos
Dirección: Escuela Politécnica
Teléfono: 918856674
E-mail: josei.olmeda@uah.es
Leyre Ascordebeitia
Dirección: FGUA
Teléfono: 918856674
E-mail: leyrem.ascordebeitia@fgua.es
José Ignacio Olmeda Martos josei.olmeda@uah.es Tf: 918856674
Objetivos formativos
The study aims to provide a complete review of Artificial Intelligence and Deep Learning and their applications in Businesses and the Industry. It is intended that the student understands automated modeling and the enormous potentiality it offers.
Specifically, the study intends that the student is able to:
- Know the formal foundations of Automated Learning.
- Be able to implement the different algorithms in high-level languages: (Python) in order to solve real problems as well as to understand the difficulties in implementing such algorithms in practice.
- Propose solutions based on Machine Learning from a broad perspective, considering the ethical and legal aspects and the economic and social implications of the automation of the processes in the businesses.
Competencias a adquirir
- Understand the tools of Artificial Intelligence and how to use them in different contexts such as Medicine, Finance, or Transportation.
- Understand the different architectures of Deep Learning, its mathematical foundations, and its applicability in the context of problems such as classification or dynamic prediction.
- Understand concepts such as Learning, Generalization, over-training, regularization, and others, and balance their impact in the construction of applied systems.
- Have a domain of the programming of data structures and program flow in high-level languages such as Python.
- Understand the main applications of automatic learning in different areas, such as credit scoring, marketing segmentation, detection of diseases through or autonomous driving of vehicles.
Público al que va dirigido
Professionals and students who are interested in understanding the tools of the Artificial Intelligence and Deep Learning and how they can be applied in sectors such as Medicine, Finance or Transport.
Participants may have a technical background but also come from areas such as economics, law, or biomedical sciences due to the general applicability of the tools covered in the program.
Créditos
Modalidad de enseñanza
On-line
Periodo de impartición
Consultar con el contacto
Lugar de impartición
On-line
Horario de impartición
On-line
Plazo de preinscripción
Consultar con el contacto
Lugar de preinscripción
Fundación General de la Universidad de Alcalá
Departamento de formación
C/ Mayor, 50
28801 Alcalá de Henares
Teléfono: 91.879.74.30
Fax: 91.879.74.55
e-mail: cursos@fgua.es
Requisitos adicionales de acceso
Número de plazas
15
Plazo de matrícula
Consultar con el contacto
Importe del estudio
Precio por crédito: 98,33 €
Importe preinscripción: 1.180,00 €
Este importe no incluye precios por servicios administrativos y seguro de accidentes.
Forma de pago
Fraccionado
Becas
La convocatoria y adjudicación de las becas correrá a cargo de la dirección académica del estudio. El 10% de los ingresos de este estudio serán destinados a becas.