Universidad de Oviedo Oferta formativa Página oficial  
   Uniovi Directo   Alumnos   Profesores, PDI   P.A.S.   Oferta Formativa   
Español

Course information
Academic year: 2013/2014

Timetable (only in Spanish) Exams (only in Spanish)

Local code:
376
Course:
ARTIFICIAL INTELLIGENCE
Syllabus:
Centre:
Course type:
Core course
Total credits:
9
Theoretical:
6
Practical:
3
Cycle:
2nd
Year:
4th
Terms:
ANNUAL
Web:
Lecturers:
BAHAMONDE RIONDA, ANTONIO  (Tribunal President)
Schedule of Tutorships, Email
LUACES RODRIGUEZ, OSCAR  (Tribunal Member)
Schedule of Tutorships, Email
VARELA ARIAS, JOSE RAMIRO  (Tribunal Member)
Schedule of Tutorships, Email
Goals:
Show the possibilities and history of Artificial Intelligence (AI) techniques as a basis to build up what is known as Knoledge
Based Systems. For this purpose we place emphasis on techniques for handling and representing knowledge, as well as in the
conceptual characteristics of some available tools that can be used for the students to develop real applications in forthcoming
courses.
Content:
1. Objectives and applications of Artificial Intelligence
2. Introduction to search
3. Search in state spaces
4. Other kind of search
5. Knowledge representation
6. Logic-based representation
7. Production systems
8. Introduction to Machine Learning
9. Uncertainty. Probabilistic reasoning
10. Planning
11. Perception
Bibliography:
(alphabetically ordered )
[1] T. Dean, J. Allen, and Y. Aloimonos. Artificial Intelligence. Theory and Practice. Addison-Wesley, 1995..
[2] S. Fernández, J. González, and J. Mira. Problemas resueltos de Inteligencia Artificial. Addison-Wesley, 1998.
[3] M. Ginsberg. Essentials of Artificial Intelligence. Morgan Kaufmann Publishers, San Francisco, California, 1993.
[4] G. F. Luger and W. A. Stubblefield. Artificial Intelligence: Structures and Strategies for Complex Problem Solving. Benjamin/
Cummings, Redwood City, California, second edition, 1993.
[5] J. Mira, A. E. Delgado, J. G. Boticario, and J. Díez. Aspectos básicos de la Inteligencia Artificial. Sanz y Torres, Madrid, 1995.
[6] N. J. Nilsson. Inteligencia Artificial: Una Nueva Síntesis. McGraw-Hill, Aravaca, Madrid, 2001..
[7] P. Norvig. Paradigms of Artificial Intelligence Programming: Case studies in Common Lisp. Morgan Kaufmann, San Mateo,
California, 1992.
[8] J. Pearl. Heuristics. Addison-Wesley Publishing Company, Massachusetts, 1984.
[9] E. Rich and K. Knight. Artificial Intelligence. McGraw-Hill, New York, second edition, 1991.
[10] S. Russell and P. Norvig. Artificial Intelligence. A modern approach. Prentice Hall Int., second edition, 2003. ISBN 0-13
-080302-2.
[11] P. H. Winston. Artificial Intelligence. Addison-Wesley, Reading, Massachusetts, 1992.
Metodology and Assessment system:
One examination at the end of the first semester and a final one at the end of the second.

ECTS information
ECTS code:
E-LSUD-4-ING-463-INA-376
ECTS credits:
7.5
Theoretical:
5
Practical:
2.5
Teaching method:
Lectures
Computer practicum
Assessment system:
Written exam
Essays/Oral presentations
Practicum exam

©2002 Universidad de Oviedo