Educational guide

IDENTIFYING DATA

2024_25

Subject

COMPUTING FOR MASSIVE DATA PROCESSING

Code

00717029

Study programme

0717 - GRADO INGENIERÍA DATOS INTELIGENCIA ARTIFICIAL

Descriptors

Credit.

Type

Year

Period

Compulsory

Third

Second

Language

Castellano

Prerequisites

Department

ING.MECANICA,INFORMAT.AEROESP.

Coordinador

GUERRERO HIGUERAS , ANGEL MANUEL

E-mail

agueh@unileon.es
lsang@unileon.es

Lecturers

SÁNCHEZ GONZÁLEZ , LIDIA

GUERRERO HIGUERAS , ANGEL MANUEL

Web

http://

General description

Tribunales de Revisión

Tribunal titular
Cargo	Departamento	Profesor
Presidente	ING.MECANICA,INFORMAT.AEROESP.	MATELLAN OLIVERA , VICENTE
Secretario	MATEMATICAS	GARCIA SIERRA , JUAN FELIPE
Vocal		CONDE GONZALEZ , MIGUEL ANGEL

Tribunal suplente
Cargo	Departamento	Profesor
Presidente	ING.MECANICA,INFORMAT.AEROESP.	PANIZO ALONSO , LUIS
Secretario	ING.MECANICA,INFORMAT.AEROESP.	RODRIGUEZ LERA , FRANCISCO JAVIER
Vocal	ING.MECANICA,INFORMAT.AEROESP.	RODRIGUEZ DE SOTO , ADOLFO

Competencias

Code
A18977
B5800
B5813
C5	CMECES5 That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy

Learning aims

	Competences
Ability to know the characteristics, functionalities and structure of the most current high performance computing technologies, to design and implement applications in the field of data engineering and artificial intelligence.	A18977	B5800 B5813	C5

Contents

Topic	Sub-topic
Block I: General concepts	Limitations of sequential computing. Parallel computing. Parallelism at thread level and process level.
Block II: Parallel computing architectures	Supercomputers and clusters. Parallel computing architectures.
Block III: Parallel and distributed programming	Cluster programming frameworks. Massive data processing.

Planning

Methodologies :: Tests
	Class hours	Hours outside the classroom	Total hours
Practicals using information and communication technologies (ICTs) in computer rooms	28	90	118


Lecture	30	0	30

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
Practicals using information and communication technologies (ICTs) in computer rooms	Practical work in the computer laboratory.
Lecture	Sessions in which the corresponding theory is explained in class.

Personalized attention

Lecture

Practicals using information and communication technologies (ICTs) in computer rooms

Description

Tutorials may be used to clarify theoretical, practical and methodological concepts. They cannot be used to repeat concepts exposed in classes that the student has not attended.

Assessment

	Description	Qualification
Practicals using information and communication technologies (ICTs) in computer rooms	Development/modification of components and on which tests or written exercises may be performed to validate the authorship and understanding of the delivered software.	50
Mixed tests	Quizzes and problem solving by electronic (Moodle) or written means.	50

Other comments and second call

Sources of information

Access to Recommended Bibliography in the Catalog ULE

Basic

Complementary

Recommendations

Subjects that it is recommended to have taken before

FUNDAMENTOS DE LOS COMPUTADORES / 00717003

PROGRAMACIÓN / 00717005

SISTEMAS OPERATIVOS / 00717008

ESTRUCTURAS DE DATOS / 00717009