Educational guide
IDENTIFYING DATA 2024_25
Subject KNOWLEDGE-BASED SYSTEMS Code 00717018
Study programme
0717 - GRADO INGENIERÍA DATOS INTELIGENCIA ARTIFICIAL
Descriptors Credit. Type Year Period
6 Compulsory Second Second
Language
Castellano
Prerequisites
Department ING.ELECTR.DE SIST. Y AUTOMATI
Coordinador
GARCÍA RODRÍGUEZ , ISAÍAS
E-mail igarr@unileon.es
jbena@unileon.es
mgaro@unileon.es
srubm@unileon.es
Lecturers
GARCÍA RODRÍGUEZ , ISAÍAS
BENITEZ ANDRADES , JOSE ALBERTO
GARCIA ORDAS , MARIA TERESA
RUBIO MARTIN , SERGIO
Web http://agora.unileon.es
General description
Tribunales de Revisión
Tribunal titular
Cargo Departamento Profesor
Presidente ING.ELECTR.DE SIST. Y AUTOMATI FUERTES MARTINEZ , JUAN JOSE
Secretario ING.ELECTR.DE SIST. Y AUTOMATI ALONSO CASTRO , SERAFIN
Vocal ING.ELECTR.DE SIST. Y AUTOMATI BLAZQUEZ QUINTANA , LUIS FELIPE
Tribunal suplente
Cargo Departamento Profesor
Presidente ING.ELECTR.DE SIST. Y AUTOMATI MORAN ALVAREZ , ANTONIO
Secretario ING.ELECTR.DE SIST. Y AUTOMATI DIEZ DIEZ , ANGELA
Vocal ING.ELECTR.DE SIST. Y AUTOMATI RODRIGUEZ SEDANO , FRANCISCO JESUS

Competencias
Code  
A18967
B5800
B5802
B5807
B5809
C4 CMECES4 That students can transmit information, ideas, problems and solutions to both a specialised and non-specialised audience
C5 CMECES5 That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy

Learning aims
Competences
Comprender las técnicas, metodologías y herramientas relacionadas con la representación del conocimiento en el ordenador y los diferentes tipos de razonamiento, así como para saber diseñar y construir aplicaciones que utilicen esas técnicas para la resolución de problemas complejos que involucran una gran cantidad de datos. A18967
 B5800
B5802
B5807
B5809
 C4
C5

Contents
Topic Sub-topic
MODULE I 1. Introduction to knowledge-based systems in the context of Artificial Intelligence.
2. Knowledge representation. Types of knowledge, formalisms, and languages.
3. Reasoning in knowledge-based systems.
MODULE II 4. knowledge-based systems and data analysis.
5. Architectures and implementation of knowledge-based systems.

Planning
Methodologies  ::  Tests
  Class hours Hours outside the classroom Total hours
Laboratory practicals 15 22 37
 
Personal tuition 2 0 2
PBL (Problem Based Learning) 15 36 51
 
Lecture 24 36 60
 
Mixed tests 6 0 6
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies   ::  
  Description
Laboratory practicals Practical completion of exercises and problems related to the contents covered in the master sessions, formulation and resolution of problems, etc.
Personal tuition Time reserved to answer and resolve students' doubts.
PBL (Problem Based Learning) Resolving problems
Lecture Exposition of the contents of the subject through different teaching strategies in the classroom.

Personalized attention
 
Personal tuition
Description
Resolution of doubts individually or in groups and in person. The tutorials will be arranged in advance with the teachers or will be carried out through a call by them.

Assessment
  Description Qualification
Laboratory practicals The correct completion of the practices in the laboratory will be assessed, as well as the deliverables that, if applicable, may be proposed for these sessions. 25%
PBL (Problem Based Learning) The quality of the approach and resolution of the problems raised will be assessed, as well as the report delivered and, where appropriate, the presentation made. 25%
Mixed tests The content corresponding to the lecture sessions and laboratory practices will be evaluated through various mixed-type tests (short questions, multiple choice, development, etc.) that will be distributed throughout the course. 50%
Others To pass through continuous evaluation, you must obtain at least a 4 out of 10 in each test that is evaluated.
Inappropriate attitude in the classroom, laboratory or evaluation tests will be penalized with 20% of the final grade.
 
Other comments and second call

Second call: The evaluation criteria will be the same as in the first call. In practice there will be a test that will evaluate all the practical contents.

EVALUATION TESTS

During the evaluation tests, it will not be possible to use any material or device that has not been expressly authorized by the teacher.

If any irregularity occurs during the corresponding exam or evaluation test, the exam will be immediately withdrawn, the student will be expelled and graded as a fail. In any case, the provisions of the internal regulations of the ULE included in the document "Guidelines for action in cases of plagiarism, copying or fraud in exams or evaluation tests" will be followed (Approved Permanent Commission of the Government Council 01/29 /2015).

Sources of information
Access to Recommended Bibliography in the Catalog ULE

Basic

Complementary J. C. Giarratano & G. Riley, CLIPS Reference Manual, NASA Lyndon B. Johnson Space Center Information Center,
Gómez A., Juristo N., Montes C., Pazos J., Ingeniería del Conocimiento, Ceura,
Mark Stefik, Introduction to Knowledge Systems, Morgan Kaufmann,
Dean Allemang, James Hendler, Semantic Web for the Working Ontologist, Morgan Kaufmann,
J. C. Giarratano & G. Riley, Sistemas expertos : principios y programación, Thomson International,


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