Educational guide

IDENTIFYING DATA

2023_24

Subject

ESTRUCTURAS DE DATOS

Code

00717009

Study programme

0717 - GRADO INGENIERÍA DATOS INTELIGENCIA ARTIFICIAL

Descriptors

Credit.

Type

Year

Period

Basic Training

First

Second

Language

Castellano

Prerequisites

Department

ING.MECANICA,INFORMAT.AEROESP.

Coordinador

CUERVO FERNÁNDEZ , EVA MARÍA

E-mail

emcuef@unileon.es
jmalip@unileon.es
pverg@unileon.es

Lecturers

ALIJA PÉREZ , JOSÉ MANUEL

CUERVO FERNÁNDEZ , EVA MARÍA

VERDE GARCIA , PAULA

Web

http://agora.unileon.es

General description

Data structures and its uses

Tribunales de Revisión

Tribunal titular
Cargo	Departamento	Profesor
Presidente	ING.MECANICA,INFORMAT.AEROESP.	FERNANDEZ DIAZ , RAMON ANGEL
Secretario	ING.MECANICA,INFORMAT.AEROESP.	PEREZ GARCIA , HILDE
Vocal		CONDE GONZALEZ , MIGUEL ANGEL

Tribunal suplente
Cargo	Departamento	Profesor
Presidente	ING.MECANICA,INFORMAT.AEROESP.	PANIZO ALONSO , LUIS
Secretario		FERNANDEZ ROBLES , LAURA
Vocal	ING.MECANICA,INFORMAT.AEROESP.	RODRIGUEZ LERA , FRANCISCO JAVIER

Competencias

Code
A18986
A18987
B5800
B5803
B5806
B5809
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
A18986 A18987
A18986	B5800 B5803 B5806 B5809	C2 C5

Contents

Topic	Sub-topic

Planning

Methodologies :: Tests
	Class hours	Hours outside the classroom	Total hours
Lecture	28	44	72

Laboratory practicals	24	48	72

Personal tuition	2	0	2

Mixed tests	6	6	12
Practical 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
Lecture
Laboratory practicals
Personal tuition

Personalized attention

Personal tuition

Description

Assessment

	Description	Qualification
Mixed tests		50
Practical tests		40 Se sumará esta nota cuando se haya obtenido una nota mínima de 4 en cada una de las pruebas mixtas

Other comments and second call

Sources of information

Access to Recommended Bibliography in the Catalog ULE

Basic	, , , Michael T. Goodrich, Tamassia, Goldwasser, Data Structures and Algorithms in Python, Wiley, 2013 Alfred V. Aho, Estructuras de datos y algoritmos, Prentice Hall, 1998 yang hu, Fácil Aprendizaje Estructuras De Datos y Algoritmos Python 3, , 2021

Complementary	Bruno R. Preiss, Data Structures and Algorithms with Object-Oriented design patterns in Java, John Willey &amp;amp;amp;Sons, 2000 Bruce Eckel, Piensa en JAVA, Pearson. Prentice Hall, 2007

Recommendations

Subjects that it is recommended to have taken before

PROGRAMACIÓN / 00717005