Educational guide
IDENTIFYING DATA							2024_25
Subject	TRENDS IN DEEP LEARNING					Code	01751014
Study programme	1751 - M.U.ROBOTICA E INTELIGENCIA ARTIFICIAL
Descriptors	Credit.	Type	Year	Period
	3	Optional	First	Second
Language	Castellano
Prerequisites
Department	ING.MECANICA,INFORMAT.AEROESP.
Coordinador	FERNÁNDEZ LLAMAS , CAMINO				E-mail	cferll@unileon.es arods@unileon.es
Lecturers	FERNÁNDEZ LLAMAS , CAMINO RODRÍGUEZ DE SOTO , ADOLFO
Web	http://
General description
Tribunales de Revisión	Tribunal titular Cargo Departamento Profesor Presidente ING.MECANICA,INFORMAT.AEROESP. RODRIGUEZ LERA , FRANCISCO JAVIER Secretario ING.MECANICA,INFORMAT.AEROESP. MATELLAN OLIVERA , VICENTE Vocal GUERRERO HIGUERAS , ANGEL MANUEL Tribunal suplente Cargo Departamento Profesor Presidente ING.MECANICA,INFORMAT.AEROESP. PANIZO ALONSO , LUIS Secretario ING.MECANICA,INFORMAT.AEROESP. SANCHEZ GONZALEZ , LIDIA Vocal MATEMATICAS GARCIA SIERRA , JUAN FELIPE

Topic	Sub-topic
Fundamentals of natural language processing and speech recognition.
Advanced natural language processing and speech recognition techniques

Methodologies  ::  Tests
	Class hours	Hours outside the classroom	Total hours
	15	22.5	37.5
	1	7.5	8.5
	10	15	25
Lecture	0	0	0
Mixed tests	2	0	2
Mixed tests	1	0	1
Mixed tests	1	0	1
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies   ::  

	Description
	Practical work
	Work presentations
	Master and participatory classes
Lecture

Description

	Description	Qualification
Mixed tests	Partial and/or final objective tests	0%-40%
Mixed tests	Mixed continuous evaluation tests	20%-40%
Mixed tests	Presentation and/or delivery of work-projects and/or technical reports.	60%-80%
Other comments and second call

Basic
Complementary

Subjects that it is recommended to have taken before

MACHINE LEARNING / 01751004 DEEP LEARNING / 01751005