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Syllabus 2021-22 - 13312023 - Data Mining (Minería de datos)

Caption
  • Level 1: Tutorial support sessions, materials and exams in this language
  • Level 2: Tutorial support sessions, materials, exams and seminars in this language
  • Level 3: Tutorial support sessions, materials, exams, seminars and regular lectures in this language
DEGREE: Grado en Ingeniería informática
FACULTY: SCHOOL OF ENGINEERING OF JAÉN
ACADEMIC YEAR: 2021-22
COURSE: Data Mining
SYLLABUS
1. COURSE BASIC INFORMATION
NAME: Data Mining
CODE: 13312023 ACADEMIC YEAR: 2021-22
LANGUAGE: English LEVEL: 1
ECTS CREDITS: 6.0 YEAR: 4 SEMESTER: PC
2. LECTURER BASIC INFORMATION
NAME: JESÚS DÍAZ, MARÍA JOSÉ DEL
DEPARTMENT: U118 - INFORMÁTICA
FIELD OF STUDY: 075 - CIENCIA DE LA COMPUTACIÓN E INT. ARTIFICIAL
OFFICE NO.: A3 - 131 E-MAIL: mjjesus@ujaen.es P: 953212444
WEBSITE: -
ORCID: https://orcid.org/0000-0002-7891-3059
LANGUAGE: - LEVEL: 1
3. CONTENT DESCRIPTION

Theoretical contents

I. Introduction

1. Knowledge extraction in large databases. Data mining. Evaluation, dissemination and use of models. Data analysis tools. Applications.

 

II. Data preparation

2. Data collection and preparation.

3. Dimensionality reduction.

4. Discretisation.

 

III. Predictive data mining

5. The classification problem.

6. Classification with trees and rules.

7. Classification with other techniques.

8. Numerical prediction.

 

IV. Descriptive data mining

9. Association discovery

10. Clustering

 

VII. New trends in data mining.

11. Business Intelligence. Big data

 

Practical contents

Practice 1. Data preparation

Practice 2. Predictive data mining

Practice 3. Descriptive data mining

4. COURSE DESCRIPTION AND TEACHING METHODOLOGY

The course is divided into two related parts, theory and practice.

The theory will be taught mainly through lectures, including activity sessions, seminars, doubt solving, problems and debate, and theoretical questions or problems with which the student's participation in the course will be evaluated.

The practical part will be carried out in the computer laboratory.

During the teaching period there will be exams to evaluate the knowledge acquired by the student.

Type A1 training activities (lectures in large groups) will be 100% face-to-face(*). The classes will be given to all the students in the group at the assigned time and in the assigned classroom.

Type A2 training activities (small group lectures) will be carried out in rotating face-to-face format at 50% (*). The classes will be given in the timetable and classroom assigned to part of the group and will be retransmitted by videoconference to the rest, with periodic rotation of students, as determined by the Centre.

(*) The Centre may establish rotational attendance depending on the number of students and the capacity of the classroom/laboratory in accordance with health measures (class in the timetable and classroom/laboratory assigned to part of the group and retransmission by videoconference to the rest, with periodic rotation of students, as determined by the Centre).

(**) The Centre may establish a different percentage of attendance depending on the number of students and the capacity of the classroom/laboratory in accordance with health measures.

Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support

5. ASSESSMENT METHODOLOGY

In accordance with the provisions of art. 13 of the Regulations of Academic Regime and Evaluation of the students of the University of Jaén, the evaluation will be global.

In order to pass the course, it will be necessary to pass both the theoretical and practical parts.

The theoretical part will be assessed by exams of theoretical concepts and practical exercises related to the subject.

The practical part will be assessed through the delivery of the practical work carried out with the computer, the work corresponding to the seminars and presentations and a report associated with them. The evaluation of the practicals will be incremental, so that both the final defence of each project and the evolution of the student during the practicals will be evaluated.

The part corresponding to participation and continuous assessment will be determined by means of some short tests carried out during the teaching hours corresponding to theory and practice.

The part corresponding to work, cases or exercises will be assessed by means of work, cases or exercises proposed in class.

The mark obtained by the student during the teaching period, both in the practice and in the participation in class and seminars, the completion of work, cases or exercises will be maintained for the extraordinary exams of the same course.

Competences by assessment system:

S1 (Attendance and participation): CB2R, CB3R, CT6.
S2 (Theoretical concepts of the subject): CB2R, CB3R, CT6.
S3 (Completion of assignments, cases or exercises): CB2R, CB3R, CT6.
S4 (Laboratory/computer practice): CB2R, CB3R, CT6.

 

6. BOOKLIST
MAIN BOOKLIST:
  • Practical applications of data mining [Recurso electrónico]. Edition: -. Author: Suh, Sang C. Publisher: Sudbury, Mass. : Jones & Bartlett Learning, c2012  (Library)
  • Data mining : concepts and techniques. Edition: 3rd ed. Author: Han, Jiawei. Publisher: Burlington, MA : Elsevier, c2012  (Library)
  • Data mining: practical machine learning tools and techniques. Edition: 3rd ed.. Author: Witten, Ian H.. Publisher: Amsterdam: Morgan Kaufman: Elsevier, 2011  (Library)
  • Data mining [Recurso electrónico] : practical machine learning tools and techniques. Edition: 3rd ed. Author: Witten, I. H. (Ian H.). Publisher: Burlington, MA : Morgan Kaufmann Publishers, 2011  (Library)
ADDITIONAL BOOKLIST:
  • Data mining techniques for marketing, sales and customer relationship management. Edition: 3rd ed.. Author: Linoff, Gordon S. Publisher: New York, NY [etc.] : Wiley, 2011  (Library)
  • Data preparation for data minig. Edition: -. Author: Pyle, Dorian. Publisher: San Francisco: Morman Kaufmann, 1999  (Library)
  • Predictive data mining : a practical guide. Edition: -. Author: Weiss, Sholom M.. Publisher: San Francisco: Morgan Kaufmann Publishers, cop. 1998  (Library)
7. VIRTUAL / CLASSROOM TEACHING SCENARIO

1) TEACHING METHODOLOGY AND TRAINING ACTIVITIES.

The activities that cannot be carried out face-to-face will be developed in blended learning format with rotating attendance as established in Annex I. Teaching guide: Adaptation of teaching to multimodal and non face-to-face scenarios, prepared by the Vice-rectorate for Coordination and Quality of Teaching at the University of Jaén. These activities will be carried out through the use of videoconferencing systems, provided that the infrastructure of the space assigned for the teaching of the subject allows it.

The Faculty may vary the percentage of attendance depending on the number of students and the capacity of the classroom/laboratory in accordance with health measures. In the event of less than 100% attendance, students will be rotated periodically as determined by the Faculty.

2) EVALUATION SYSTEM

The evaluation system and instruments will be the same as for the face-to-face modality, substituting the face-to-face tests for similar tests developed through the use of the online teaching platform or others that the University of Jaen enables, as long as the student's identity is guaranteed.

3) RESOURCES.

Videoconferencing systems available in the spaces provided for teaching will be used, as well as the University's teaching platform. Activities that cannot be carried out face-to-face will be carried out through synchronous and/or asynchronous activities carried out through the virtual teaching platform or any other online tool provided by the University.

The recording and/or dissemination by any means of face-to-face or non-face-to-face synchronous or asynchronous activities is expressly prohibited without the explicit permission of the lecturer.

8. VIRTUAL TEACHING SCENARIO

1) TEACHING METHODOLOGY AND TRAINING ACTIVITIES.

The methodology followed in this modality will consist of carrying out all teaching activities synchronously and/or asynchronously through the virtual teaching platform and the mechanisms that the University of Jaén allows or enables.

2) EVALUATION SYSTEM.

The evaluation system and instruments will be the same as for the face-to-face mode, replacing the face-to-face tests with similar tests developed through the use of the online teaching platform or others that the University of Jaén allows or enables, as long as the student's identity is guaranteed.

3) RESOURCES.

The activities in this modality will be carried out through synchronous and/or asynchronous activities carried out through the virtual teaching platform or any other online platform enabled by the University of Jaén.

In any case, it is expressly forbidden to record and/or broadcast by any means the face-to-face or non-face-to-face synchronous or asynchronous activities without the explicit permission of the teacher.

DATA PROTECTION CLAUSE (on line exams)

Institution in charge of data processing: Universidad de Jaén, Campus Las Lagunillas, s/n, 23071 Jaén

Data Protection Delegate: dpo@ujaen.es

Purpose: In accordance with the Universities Law and other national and regional regulations in force, carrying out exams and assessment tests corresponding to the courses students are registered in. In order to avoid frauds while sitting the exam, the exam will be answered using a videoconference system, being able the academic staff of the University of Jaén to compare and contrast the image of the person who is answering the exam with the student's photographic files. Likewise, in order to provide the exam with evidential content for revisions or claims, in accordance with current regulation frameworks, the exam will be recorded and stored.

Legitimacy: compliance with legal obligations (Universities Law) and other national and regional regulations currently in force.

Addressees: service providers who are the owners of the platforms where the exams are carried out and with whom the University of Jaén has signed the corresponding data access contracts.

Storage periods: those established in current in force regulations. In the specific case of exam videoconference recordings, not before the examination records and transcripts are closed or the exam can still be reviewed or challenged.

Rights: you can exercise your right of access, amendment, cancellation, opposition, suppression, limitation and portability by sending a letter to the postal or electronic address indicated above. In the event that you consider that your rights have been violated, you may submit a complaint to the Andalusian Council for Transparency and Data Protection www.ctpdandalucia.es

CLASS RECORDING CLAUSE PERSONAL DATA PROTECTION

Person in charge: Universidad de Jaén, Paraje Las Lagunillas, s/n; Tel.953 212121; www.ujaen.es

Data protection delegate (DPO): TELEFÓNICA, S.A.U. ; Email: dpo@ujaen.es

Procedure aim: To manage proper recordings of teaching sessions with the aim of facilitating learning process under a multimodal and/or online teaching

Period for record storage: Images will be kept during legal term according to regulations in force

Legitimacy: Data will be managed according to legal regulations (Organic Law 6/2001, December 21, on Universities) and given consent provided by selecting corresponding box in legal admission documents

Data recipients (transfers or assignments): Any person allowed to get access to every teaching modality

Rights: You may exercise your rights of access, rectification, cancellation, portability, limitation of processing, deletion or, where appropriate, opposition. To exercise these rights, you must submit a written request to the Information, Registration and Electronic Administration Service of the University of Jaen at the address above, or by e-mail to the address above. You must specify which of these rights you are requesting to be satisfied and, at the same time, you must attach a photocopy of your ID card or equivalent identification document. In case you act through a representative, legal or voluntary, you must also provide a document that proves this representation and identification. Likewise, if you consider that your right to personal data protection has been violated, you may file a complaint with the Andalusian Data Protection and Transparency Council www.ctpdandalucia.es