|
||||
Español |
Course information |
Academic year: 2012/2013
|
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 |
||||||