Syllabus
Study loadtoggle-navigation
Evaluation proceduretoggle-navigation
- Asistencia: En asistencia se valorará la asistencia y la participación (25%)
- Examen por modulos: En examen por módulos, se realizarán cuestionarios mediante la plataforma de egela para evaluar los conocimientos adquiridos (25%)
- Trabajos: Se aprueba con 6 puntos sobre 10 (50%)
Programmetoggle-navigation
Academic course 2024/25
| Subject | Languages | ECTS Credits | Type | Mode |
|---|---|---|---|---|
| Artificial Intelligence Techniques | English | 4 | Obligatorio | Face-to-face degree course |
| Deep Neural Networks | English | 4 | Obligatorio | Face-to-face degree course |
| High-Performance Computing for AI | English | 4 | Obligatorio | Face-to-face degree course |
| Linear Algebra and Optimization for AI | English | 4 | Obligatorio | Face-to-face degree course |
| Programming for AI | English | 4 | Obligatorio | Face-to-face degree course |
| Statistics for AI | English | 4 | Obligatorio | Face-to-face degree course |
Final Project Work
| Subject | Languages | ECTS Credits | Type | Mode |
|---|---|---|---|---|
| Research project from 2024/25 | - | 6 | Obligatorio | - |
Hours
| ehu.horario.dia.semana | ehu.horario.hora.inicio | ehu.horario.hora.fin |
|---|---|---|
| Lunes | 16:00h | 20:00h |
| Martes | 16:00h | 20:00h |
| Miércoles | 16:00h | 20:00h |
| Jueves | 16:00h | 20:00h |
| Viernes | 16:00h | 20:00h |