Menú local
Syllabus 2019-20 - 13312034 - Intelligent Information Systems (Sistemas inteligentes de información)
- 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: | 2019-20 |
COURSE: | Intelligent Information Systems |
NAME: Intelligent Information Systems | |||||
CODE: 13312034 | ACADEMIC YEAR: 2019-20 | ||||
LANGUAGE: English | LEVEL: 2 | ||||
ECTS CREDITS: 6.0 | YEAR: 3 | SEMESTER: SC |
NAME: GACTO COLORADO, Mª JOSÉ | ||
DEPARTMENT: U118 - INFORMÁTICA | ||
FIELD OF STUDY: 075 - CIENCIA DE LA COMPUTACIÓN E INT. ARTIFICIAL | ||
OFFICE NO.: A3 - 243 | E-MAIL: mgacto@ujaen.es | P: 953212261 |
WEBSITE: http://wwwdi.ujaen.es/?q=es/mgacto | ||
ORCID: https://orcid.org/0000-0001-9895-9647 | ||
LANGUAGE: - | LEVEL: 2 |
THEORY
Module 1: Introduction to knowledge representation.
Topic 1: Acquisition and representation of
knowledge.
Topic 2: Knowledge engineering:
ontologies.
Module 2: Basic models of knowledge representation.
Topic 3: Logical models. First order logic
Topic 4: Inference in first order logic.
Topic 5: Rule-based systems.
Topic 6: Structured models. Semantic
networks.
Module 3: Advanced models of knowledge representation.
Topic 7: Representation of uncertainty.
Bayesian networks.
Topic 8: Fuzzy Rule-based systems.
Topic 9: Introduction to Big Data.
PRACTICES
Development, implementation and analysis of a classification
and / or regression algorithm related to the subject matter studied
in the subject.
The subject is divided into two related parts, theory and
practices.
The theory will be taught mainly through lectures, including
sessions of activities, resolution of doubts and debate with which
the participation of the student in the subject will be evaluated.
The practical part will be done in the computer lab.
The seminars will be taught in computer labs. In them several
software of different nature will be studied:
- Protégé, open source
ontology publisher abr framework for building intelligent system.
- KEEL (Knowledge Extraction based on
Evolutionary Learning)
- Software for fuzzy: JFML (Java Fuzzy
Markup Language), Fuzzy Logic Toolbox (MATLAB - MathWorks),
etc.
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
To pass the subject it will be necessary to approve both the
theoretical part and the practical part.
As specified in art. 13 of the Regulation of Academic Regime
and Evaluation of the students of the University of Jaén,
the evaluation of the subject will be global. Similarly, in
accordance with art. 18 of the aforementioned Regulation, a call
will be considered exhausted when the evaluation tests in which the
student had participated together represent more than 30% of the
final grade of the subject.
The theoretical part will be evaluated with an objective test
of theoretical concepts and realization of practical exercises
related to the subject. The part of practices will be evaluated by
means of the delivery of practical works carried out with a
computer and with a justifying memory associated to them. The
evaluation of the practices will be continuous and incremental, in
such a way that both the defense of the practical project carried
out in the delivery and the evolution of the student during the
practical sessions will be evaluated.
Competencies for the Evaluation System:
S1 (attendance and participation): CT6,
CS12, CS16
S2 (theoretical knowledge): CT6, CS12,
CS16
S4 (Computer practices): CS12, CS16
Results by Evaluation System:
S1 (attendance and participation): 2,3,6,8
S2 (theoretical knowledge): 2,3,6,8
S4 (Computer practices): 2,3,6
- Introduction to machine learning. Edition: 2nd ed.. Author: Alpaydin, Ethem.. Publisher: Cambridge, Mass. : MIT Press, 2010 (Library)
- Fuzzy set theory and its applications . Edition: -. Author: Zimmermann, H.-J.. Publisher: Boston : Kluwer Academic Publishers, cop. 2001 (Library)
- Artificial intelligence: a modern approach. Edition: 3rd th. Author: Russell, Stuart J.. Publisher: Boston [etc.] : Pearson Education, 2010 (Library)
- Hadoop [Recurso electrónico] : the definitive guide. Edition: 3rd ed. Author: White, Tom (Tom E.). Publisher: Sebastopol, CA : O'Reilly, 2012 (Library)
- Pattern Recognition and Machine Learning [Recurso electrónico]. Edition: -. Author: Bishop, Christopher M.. Publisher: New York, NY : Springer Science+Business Media, LLC, 2006. (Library)
- Bayesian artificial intelligence. Edition: 2nd ed.. Author: Korb, Kevin B.. Publisher: Boca Raton, FL : CRC Press, c2011 (Library)