Educational guide
IDENTIFYING DATA							2023_24
Subject	ARTIFICIAL INTELLIGENCE AND NANOTECHNOLOGY					Code	00707038
Study programme	0707 - G.INGENIERÍA ELECT. INDUSTRIAL Y AUTOMÁTICA
Descriptors	Credit.	Type	Year	Period
	6	Optional	Fourth	First
Language	Castellano
Prerequisites
Department	ING.ELECTR.DE SIST. Y AUTOMATI
Coordinador	ALAIZ MORETÓN , HÉCTOR				E-mail	halam@unileon.es mcbenc@unileon.es mgaro@unileon.es -
Lecturers	ALAIZ MORETÓN , HÉCTOR BENAVIDES CUÉLLAR , MARÍA DEL CARMEN GARCIA ORDAS , MARIA TERESA GARCIA-OLALLA OLIVERA , OSCAR
Web	http://agora.unileon.es
General description
Tribunales de Revisión	Tribunal titular Cargo Departamento Profesor Presidente ING.ELECTR.DE SIST. Y AUTOMATI RODRIGUEZ SEDANO , FRANCISCO JESUS Secretario ING.ELECTR.DE SIST. Y AUTOMATI GARCIA RODRIGUEZ , ISAIAS Vocal ING.ELECTR.DE SIST. Y AUTOMATI PRADA MEDRANO , MIGUEL ANGEL Tribunal suplente Cargo Departamento Profesor Presidente ING.ELECTR.DE SIST. Y AUTOMATI ALAIZ RODRIGUEZ , ROCIO Secretario ING.ELECTR.DE SIST. Y AUTOMATI BLAZQUEZ QUINTANA , LUIS FELIPE Vocal ING.ELECTR.DE SIST. Y AUTOMATI FERRERO FERNANDEZ , MIGUEL

Competencias

Code
A18676
B5653
B5655
B5665
C2	CMECES2 That students know how to apply their knowledge to their work or vocation in a professional manner and possess the skills that are usually demonstrated through the development and defense of arguments and the resolution of problems within their area of study.
C3	CMECES3 That students have the ability to gather and interpret relevant data (normally within their area of study) to make judgments that include reflection on relevant issues of a social, scientific or ethical nature.
C5	CMECES5 That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy

Learning aims

	Competences
	A18676	B5653	C3
	A18676	B5655 B5665	C5
		B5653 B5655	C2 C3 C5
		B5653 B5655	C5

Contents

Topic	Sub-topic

Planning

Methodologies  ::  Tests
	Class hours	Hours outside the classroom	Total hours
Laboratory practicals	30	39	69
Personal tuition	2	0	2
Presentations / expositions	5	5	10
PBL (Problem Based Learning)	20	12	32
Lecture	14	21	35
Mixed tests	2	0	2
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies

Methodologies   ::  

	Description
Laboratory practicals
Personal tuition
Presentations / expositions
PBL (Problem Based Learning)
Lecture

Personalized attention

Personal tuition

Description

Assessment

	Description	Qualification
Laboratory practicals		40%
Lecture		30%
Presentations / expositions		30%
Other comments and second call

Sources of information

Access to Recommended Bibliography in the Catalog ULE

Basic	Alex Zetti, AN ATOMIC-RESOLUTION NANOMECHANICAL MASS SENSOR, , Nature Nanotechnolog Javier García de Jalón , Aprenda Matlab 6.5 como si estuviera en primero , Universidad Politécnica de Madrid , Universidad Politécnica de Madrid Russell S. & Norving P , Inteligencia Artificial. Un enfoque moderno , Prentice Hall, Prentice Hall Alex Zetti y col. en Nano Letters, NANOTUBE RADIO, , ISASI VIÑUELA, PEDRO y GALVAN, INES M., REDES DE NEURONAS ARTIFICIALES: UN ENFOQUE PRACTICO, McGraw-Hill , McGraw-Hill Andreas Hirsch, The era of carbon allotrope, , Nature Materials, J.J. Palacios y J. Fenández- Rossier, ¿Grafeno magnético?, , http.//www.rsef.org
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