Educational guide | ||||||||||||||||||||||||||||||||||||||||
IDENTIFYING DATA | 2024_25 | |||||||||||||||||||||||||||||||||||||||
Subject | INFORMATION SYSTEMS II | Code | 00709027 | |||||||||||||||||||||||||||||||||||||
Study programme |
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Descriptors | Credit. | Type | Year | Period | ||||||||||||||||||||||||||||||||||||
6 | Compulsory | Third | Second |
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Language |
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Prerequisites | ||||||||||||||||||||||||||||||||||||||||
Department | ING.MECANICA,INFORMAT.AEROESP. |
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Coordinador |
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jmalip@unileon.es raferd@unileon.es |
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Lecturers |
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Web | http:// | |||||||||||||||||||||||||||||||||||||||
General description | Advanced information systems | |||||||||||||||||||||||||||||||||||||||
Tribunales de Revisión |
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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 |
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A18112 A18113 |
B5623 B5629 |
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B5611 |
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B5612 |
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B5619 |
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C2 |
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C3 |
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B5623 |
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B5627 |
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B5629 |
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A18112 |
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A18113 |
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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 |
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 |
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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. Both the assignments and practices submitted by students can be reviewed with an anti-plagiarism program that can perform checks among the works of students from the current call, previous calls, and other external sources. In the event that plagiarism is detected, the immediate withdrawal of the exam, expulsion of the student, and grading of the work or practice as failed will proceed. In any case, the internal regulations of ULE included in the document "Guidelines for action in cases of plagiarism, copying, or fraud in exams or assessment tests" (Approved by the Permanent Commission of the Governing Council on 01/29/2015) will be adhered to. |
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 | ||||||
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