Adimen Artifizialeko Teknika Aurreratuak26225
- Ikastegia
- Informatika Fakultatea
- Titulazioa
- Informatikaren Ingeniaritzako Gradua
- Ikasturtea
- 2023/24
- Maila
- 4
- Kreditu kopurua
- 6
- Hizkuntzak
- Ingelesa
- Kodea
- 26225
IrakaskuntzaToggle Navigation
Irakaskuntza-gidaToggle Navigation
Irakasgaiaren Azalpena eta Testuingurua zehazteaToggle Navigation
OHARRA: IRAKASGAIA INGELESEZ BAKARRIK ESKAINTZEN DA, ETA, BERAZ, HIZKUNTZA HORRETAN EGUNERATUTAKO DOKUMENTAZIOA BAINO EZ DAGO ESKURAGARRI.
AVISO: LA ASIGNATURA SOLO SE OFERTA EN INGLÉS, POR LO QUE SÓLO HAY DISPONIBLE DOCUMENTACIÓN ACTUALIZADA EN ESTA LENGUA.
The main objective of this course is to learn advanced artificial intelligence techniques
Gaitasunak / Irakasgaia Ikastearen EmaitzakToggle Navigation
This course provides different artificial intelligence techniques.
Eduki teoriko-praktikoakToggle Navigation
Topic 1 Introduction to Artificial Intelligence
Topic 2 Advanced Artificial Intelligence Techniques
MetodologiaToggle Navigation
Master classes, seminars, laboratories, assignments, practices and presentations.
The skills and competences demonstrated in all aspects of the subject make up your note: active participation, tasks, practice, presentations, etc.
Ebaluazio-sistemakToggle Navigation
- Ebaluazio Jarraituaren Sistema
- Azken Ebaluazioaren Sistema
- Kalifikazioko tresnak eta ehunekoak:
- The skills and competences demonstrated in all aspects of the subject make up their note: active participation, individual tasks, group practices, presentations, etc. (%): 100
Ohiko Deialdia: Orientazioak eta Uko EgiteaToggle Navigation
The subject has two possible evaluation modes: final and continuous.
The continuous evaluation is the preferred mode. It establishes a set of activities that allows assessing the progress of each student throughout the course. Thus, the continuous evaluation is offered by default to students who should deliver the assignments of the subject in the established framework including assistance, presentations and face-to-face activities.
Students can also be evaluated through the final evaluation mode. In this case, the students on established dates (when reaching around 60% and 80% of the course) must submit to the teaching supervisors a formal resignation to the continuous evaluation. Then, the teaching supervisors will assign a mandatory work that can consist of an oral presentation, a practical work or both that must be delivered before the date of the ordinary and extraordinary exam.
Ezohiko deialdia: Orientazioak eta Uko EgiteaToggle Navigation
Final Evaluation
Delivery of mandatory work that can consist of an oral presentation, a practical work or both that must be delivered before the date of the extraordinary exam.
Nahitaez erabili beharreko materialaToggle Navigation
• eGela
BibliografiaToggle Navigation
Oinarrizko bibliografia
Aldizkariak
Artificial Intelligence. Elsevier Science.
TaldeakToggle Navigation
61 Teoriakoa (Ingelesa - Goizez)Erakutsi/izkutatu azpiorriak
Asteak | Astelehena | Asteartea | Asteazkena | Osteguna | Ostirala |
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1-15 | 10:30-12:00 (1) | 09:00-10:30 (2) |
Irakasleak
61 Laborategiko p.-1 (Ingelesa - Goizez)Erakutsi/izkutatu azpiorriak
Asteak | Astelehena | Asteartea | Asteazkena | Osteguna | Ostirala |
---|---|---|---|---|---|
1-15 | 12:00-13:30 (1) |
Irakasleak
61 Laborategiko p.-2 (Ingelesa - Goizez)Erakutsi/izkutatu azpiorriak
Asteak | Astelehena | Asteartea | Asteazkena | Osteguna | Ostirala |
---|---|---|---|---|---|
1-15 | 09:00-10:30 (1) |