2012_13
Educational guide 
School of Engineering
A A A 
english 
Intel·ligència Artificial (2012)
 Printing Teaching Guides procedure for accreditation of programs of subjects passed at the URV.

Select which subjects you want to get the list of programs with the identification data and the contents of the subjects for which accreditation is requested. Remember that the printed document has no official status and should be validated by / for the Head office of the center


First Year
Code Name Period Type Credits Selected
17635101 INTRODUCTION TO MULTI-AGENT SYSTEMS First
 Compulsory 5
17635102 PLANNING AND APPROXIMATE REASONING First
 Compulsory 5
Second Year
Code Name Period Type Credits Selected
17635301 FINAL MASTER'S PROJECT Only annual
 Final master project 18
Optional
Code Name Period Type Credits Selected
17635202 KNOWLEDGE REPRESENTATION AND ENGINEERING First
 Optional 6
17635205 ADVANCED ARTIFICIAL VISION First
 Optional 4.5
17635206 COOPERATIVE ROBOTICS Second
 Optional 4.5
17635203 MULTI-CRITERIA DECISION SUPPORT SYSTEMS Second
 Optional 4.5
17635204 LOGICS FOR ARTIFICIAL INTELLIGENCE Only annual
 Optional 6
17635207 ARTIFICIAL INTELLIGENCE SEMINAR Only annual
 Optional 3
17635201 COMPLEX NETWORKS Only annual
 Optional 5