| Department | Computer Science and Information Technologies |
| Knowledgment area | Computational Science and Artificial Intelligence |
| Research | Research group Redes de Neuronas Artificiales y Sistemas Adaptativos - Imagen Médica y Diagnóstico Radiológico |
| Research lines | Deep Learning Computer vision Image Processing Artificial Intelligence Medical Image Analysis Adversarial Machine Learning |
| Contacto | UDC directory |
This section shows the teaching given in degrees, masters and other officers studies in last 6 years.
| Subject and involved studies | Type | Distance hours | Total hours |
|---|---|---|---|
| Basic Computer Science | Core | 0 | 30 |
| Computer Science Preliminaries | Core | 0 | 15 |
| Intelligent Systems | Compulsory | 0 | 15 |
| Subject and involved studies | Type | Distance hours | Total hours |
|---|---|---|---|
|
Basic Computer Science
Engineering Degree in Industrial Design and Product Development
|
Core | 0 | 20 |
|
Computer Science Preliminaries
Degree in Computer Engineering
|
Core | 0 | 15 |
|
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
|
Compulsory | 0 | 15 |
|
Programming I
Degree in Computer Engineering
|
Core | 0 | 10 |
Defined tutoring by teacher for 2025/2026 academic course.
| Quarter | Day | Site |
|---|---|---|
| 1st quarter |
Monday
15:00 a 17:00 |
Lab 2.2 (email in advance) |
| 1st quarter |
Wednesday
15:00 a 17:00 |
Lab 2.2 (email in advance) |
| 1st quarter |
Friday
10:00 a 14:00 |
Teams (email in advance) |
| 2nd quarter |
Monday
10:00 a 12:00 |
Lab 2.2 (email in advance) |
| 2nd quarter |
Monday
15:00 a 17:00 |
Lab 2.2 (email in advance) |
| 2nd quarter |
Friday
10:00 a 12:00 |
Lab 2.2 (email in advance) |
No available EOG works or final master thesis directed by current teacher since 2013 year.
Select merit type and year to query research merits.