| Competences |
| Type A | Code | Competences Specific |
| Research | ||
| AR5 | Redactar documentació científica. | |
| AR10 | Analitzar, dissenyar i desenvolupar sistemes robotitzats i intel·ligents. | |
| AR12 | Aplicar metodologies de la intel·ligència artificial. | |
| Type B | Code | Competences Transversal |
| Common | ||
| BC1 | Creativitat. Desenvolupar idees i projectes originals | |
| BC2 | Treballar autònomament amb iniciativa | |
| BC4 | Resoldre problemes de forma efectiva | |
| BC12 | Asertivitat. Comunicar de manera clara i sense ambigüitats tant a audiències expertes com no expertes | |
| BC13 | Aprendre a aprendre | |
| Type C | Code | Competences Nuclear |
| Common | ||
| CC1 | Domini de l’expressió i la comprensió del/s idioma/es estrangers per al desenvolupament professional derivat del curs del postgrau. | |
| CC2 | Ús de les eines específiques de TIC per al desenvolupament professional derivat del curs de postgrau. | |
| Learning aims |
| Objectives | Competences | ||
| Understand the basic concepts in Artificial Intelligence. | AR10 |
||
| Solve planning problems using AI algorithms and heuristics. | AR10 AR12 |
BC1 BC2 BC4 |
|
| Know the possibilities and limitations of AI. | AR10 AR12 |
BC4 |
|
| Decompose a problem in terms of a search in a state space. | AR10 AR12 |
BC1 BC2 BC4 BC12 |
|
| Compare the results obtained in the practical exercise with the studied theoretical aspects. | AR5 |
BC1 BC2 BC12 |
CC1 CC2 |
| Formalize knowledge and make reasoning using fuzzy logic. | AR5 AR10 AR12 |
BC1 BC2 BC4 BC12 |
|
| Utilitzar manuals sobre els llenguatges de programació. | BC13 |
CC1 CC2 |
|
| Contents |
| Topic | Sub-topic |
| Expert systems with approximate reasoning | Probabilistic models Evidence theory. Fuzzy logic and reasoning based on fuzzy rules. |
| Introduction to planning methods | Advanced techniques of planning. |
| Planning |
| Methodologies :: Tests | |||||||||
| Competences | (*) Class hours | Hours outside the classroom | (**) Total hours | ||||||
| Introductory activities |
|
1 | 0 | 1 | |||||
| Lecture |
|
25 | 37.5 | 62.5 | |||||
| Practicals using information and communication technologies (ICTs) in computer rooms |
|
15 | 30 | 45 | |||||
| Personal tuition |
|
1 | 0 | 1 | |||||
| Objective short-answer tests |
|
4 | 0 | 4 | |||||
| (*) On e-learning, hours of virtual attendance of the teacher. (**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | |||||||||
| Methodologies |
| Description | |
| Introductory activities | Presentation of the topic. |
| Lecture | Presentation and explanation of the contents. |
| Practicals using information and communication technologies (ICTs) in computer rooms | Practical session of the course, implementing the studied algorithms and methods. |
| Personal tuition |
| Personalized attention |
|
|
| Assessment |
| Description | Weight | ||
| Practicals using information and communication technologies (ICTs) in computer rooms | Practical exercises on the topics of the course. | 50 | |
| Objective short-answer tests |
Questions and exercises on the contents of the course. Two exams. Minimum qualification required is 5, to pass the course. |
50 | |
| Other comments and second exam session | |||
|
Each part will be evaluated separatedly and the student must pass each of them. |
|||
| Sources of information |
| Basic |
Russell, Norvig, Inteligencia Artificial, a modern approach (3rd ed), Prentice-Hall, 2010 |
||||||||
| Complementary | |||||||||
| Recommendations |
| Subjects that continue the syllabus | ||
|
||
| Other comments | |
| Es recomana cursar abans l'assignatura Intel.ligència Artificial (Grau d'Enginyeria Informàtica) per tenir coneixements bàsics de tècniques de IA. |
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.