Educational guide
IDENTIFYING DATA 2023_24
Subject INFORMATION SYSTEMS II Code 00709027
Study programme
0709 - GRADO EN INGENIERÍA INFORMÁTICA
Descriptors Credit. Type Year Period
6 Compulsory Third Second
Language
Castellano
Prerequisites
Department ING.MECANICA,INFORMAT.AEROESP.
Coordinador
ALIJA PÉREZ , JOSÉ MANUEL
E-mail jmalip@unileon.es
rrapg@unileon.es
jcarr@unileon.es
agomc@unileon.es
Lecturers
ALIJA PÉREZ , JOSÉ MANUEL
RAPOSO GARCÍA , RODRIGO
CARRO DEL REGUERO , JOSE OMAR
GOMEZ CAMUS , ALFONSO JAVIER
Web http://
General description Advanced information systems
Tribunales de Revisión
Tribunal titular
Cargo Departamento Profesor
Presidente ING.MECANICA,INFORMAT.AEROESP. PEREZ GARCIA , HILDE
Secretario ING.MECANICA,INFORMAT.AEROESP. CUERVO FERNANDEZ , EVA MARIA
Vocal ING.MECANICA,INFORMAT.AEROESP. PANIZO ALONSO , LUIS
Tribunal suplente
Cargo Departamento Profesor
Presidente ING.MECANICA,INFORMAT.AEROESP. RODRIGUEZ DE SOTO , ADOLFO
Secretario ING.MECANICA,INFORMAT.AEROESP. SANCHEZ GONZALEZ , LIDIA
Vocal ING.MECANICA,INFORMAT.AEROESP. MATELLAN OLIVERA , VICENTE

Competencias
Code  
A18112
A18113
A18116
B5611
B5612
B5619
B5623
B5627
B5629
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.

Learning aims
Competences
A18112
A18116
 B5619
A18112
A18113
 B5623
B5629
B5611
B5612
B5619
C2
C3
B5623
B5627
B5629
A18112
A18113
A18116

Contents
Topic Sub-topic
Block I: DATAWAREHOUSE. DATA COLLECTION PROCESS Unit 1: COMPILATION.

Unit 2: CLEANING.

Unit 3: EXPLORATION AND SELECTION.
Block II: DATA MINING Unit 1: WEB MINING.

Unit 2: TEXT MINING.
Block III: BIG DATA APPLICATIONS Unit 1: KNOWLEDGE ADMINISTRATION.

Unit 2: IMPROVEMENT IN DECISION MAKING.
Block IV: APPLICATION OF INFORMATION SYSTEMS Unit 1: OPERATIONAL EXCELLENCE.

Unit 2: BUSINESS APPLICATIONS.

Unit 3: DIGITAL MARKETS, DIGITAL PRODUCTS.
Block V: BUSINESS INTELLIGENCE Unit 1: CRM

Unit 2: ERP
Block VI: LEGAL FRAMEWORK IN DATA PROCESSING Unit 1: EUROPEAN DATA PROTECTION REGULATION. REGULATION (EU) 2016/679

Unit 2: ORGANIC LAW OF DATA PROTECTION. ORGANIC LAW 3/2018.

Planning
Methodologies  ::  Tests
  Class hours Hours outside the classroom Total hours
Problem solving, classroom exercises 20 35 55
 
Personal tuition 3 0 3
 
Lecture 32 30 62
 
Extended-answer tests 5 25 30
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies   ::  
  Description
Problem solving, classroom exercises Formulation, analysis, resolution and debate of a problem or exercise, related to the subject of the subject.
Personal tuition Meeting of the teacher with a small group of students, conceptually relying on learning theories rather than teaching ones.
Lecture Exhibition of the contents of the subject.

Personalized attention
 
Personal tuition
Description
Students' doubts will be resolved in the office in a personalized way or through institutional email.

Assessment
  Description Qualification
Problem solving, classroom exercises Completion and delivery of the practical exercises carried out in the laboratory classes.
An exam will be carried out that will evaluate the knowledge acquired in the practices. 		40% Minimum grade to pass the subject: 5
Extended-answer tests Problem resolution.
They will consist of written tests for solving cases and problems. 		40% Minimum grade to pass the subject: 5
Others Delivery of optional work, attendance and participation of the student both in class and in Moodle. 20% This mark will be added when the theoretical and practical part has been passed
 
Other comments and second call
SECOND CALL:

In this case, the student must pass a final exam of all the learning results of the subject. Must obtain a minimum of five points both in the theoretical part and in the practical part.

Sources of information
Access to Recommended Bibliography in the Catalog ULE

Basic Pascual Montañes y Eduardo Olier, Corporate Governance Intelligence, Prentice Hall,
Robert Groth, Data Mining, Prentice Hall,
José Hernández Orallo, M.ª José Ramírez Quintana, César Ferri Ramírez, Introducción a la Minería de Datos, Prentice Hall,
Jordi Conesa Caralt y Josep Curto Díaz, Introducción al Business Intelligence, Editorial UOC,

Complementary


Recommendations


Subjects that it is recommended to have taken before
COMPUTER PROGRAMMING I / 00709009
COMPUTER PROGRAMMING II / 00709011
DATABASES / 00709012
INFORMATION SYSTEMS I / 00709015
DATA STRUCTURES / 00709018