Educational guide

IDENTIFYING DATA

2024_25

Subject

ADVANCED INTELLIGENT SYSTEMS

Code

00717024

Study programme

0717 - GRADO INGENIERÍA DATOS INTELIGENCIA ARTIFICIAL

Descriptors

Credit.

Type

Year

Period

Compulsory

Third

First

Language

Prerequisites

Department

ING.MECANICA,INFORMAT.AEROESP.

Coordinador

RODRÍGUEZ DE SOTO , ADOLFO

E-mail

arods@unileon.es
cferll@unileon.es

Lecturers

FERNÁNDEZ LLAMAS , CAMINO

RODRÍGUEZ DE SOTO , ADOLFO

Web

http://agora.unileon.es

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	ING.MECANICA,INFORMAT.AEROESP.	SANCHEZ GONZALEZ , LIDIA

Tribunal suplente
Cargo	Departamento	Profesor
Presidente		CONDE GONZALEZ , MIGUEL ANGEL
Secretario	ING.MECANICA,INFORMAT.AEROESP.	FERNANDEZ DIAZ , RAMON ANGEL
Vocal		FERNANDEZ ROBLES , LAURA

Competencias

Code
A18964
A18966
A18968
B5800
B5801
B5805
B5806
B5807
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.
C5	CMECES5 That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy

Learning aims

Competences
A18966	B5800 B5801 B5805 B5806 B5807	C2 C5
A18964 A18966 A18968	B5800 B5801 B5805 B5806 B5807	C2 C5
A18964 A18966 A18968	B5800 B5801 B5805 B5806 B5807	C2 C5
A18964 A18966 A18968	B5800 B5801 B5805 B5806 B5807	C2 C5
A18964 A18966 A18968	B5800 B5801 B5805 B5806 B5807	C2 C5

Contents

Topic	Sub-topic

Planning

Methodologies :: Tests
	Class hours	Hours outside the classroom	Total hours
Laboratory practicals	24	12	36

PBL (Problem Based Learning)	6	24	30
Assignments	0	40	40

Lecture	28	14	42

Objective multiple-choice tests	0.5	0	0.5
Practical tests	1.5	0	1.5

(*)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
PBL (Problem Based Learning)
Assignments
Lecture

Personalized attention

PBL (Problem Based Learning)

Assignments

Description

Assessment

	Description	Qualification
Laboratory practicals		5%
PBL (Problem Based Learning)		20%
Assignments		40%
Objective multiple-choice tests		30%

Other comments and second call

Sources of information

Access to Recommended Bibliography in the Catalog ULE

Basic	Stuart Russell; Peter Norvig, Artificial Intelligence. A Modern Approach, Pearson, 2021 4ª Edición

Complementary

Recommendations

Subjects that it is recommended to have taken before

MATEMÁTICA FINITA I / 00717002

PROGRAMACIÓN / 00717005

ESTRUCTURAS DE DATOS / 00717009

PROBABILITY CALCULUS / 00717012

MACHINE LEARNING / 00717014