PhD in Electrical Engineering and Intelligent Systems
The work developed by a student during one academic year, according to the indicative plan of the course and on a full time basis, totals 60 ECTS.
Study Programme
| Course unit title | Year | Regime | Type | Subject area | ECTS credits |
|---|---|---|---|---|---|
| Thesis Project | 1 | 1st Semester | Compulsory | EEIS | 24.0 |
| Thesis | 1 | MULTIANNUAL | Compulsory | EEIS | 174.0 |
| Advanced Edge Computing Architectures for IoT | 1 | Semestrial | Elective * | EEIS | 6.0 |
| Advanced Topics in Communication Networks | 1 | Semestrial | Elective * | EEIS | 6.0 |
| Advanced Topics in Electric Power Systems | 1 | Semestrial | Elective * | EEIS | 6.0 |
| Advanced Topics of Estimation and Optimization | 1 | Semestrial | Elective * | EEIS | 6.0 |
| Advanced Topics of Operational Research | 1 | Semestrial | Elective * | EEIS | 6.0 |
| Bioelectronics and Biosensors | 1 | Semestrial | Elective * | EEIS | 6.0 |
| Cognitive Vision Systems | 1 | Semestrial | Elective * | EEIS | 6.0 |
| Control and Computational Intelligence | 1 | Semestrial | Elective * | EEIS | 6.0 |
| Cyber-Physical Systems: Advanced concepts and research challenges | 1 | Semestrial | Elective * | EEIS | 6.0 |
| Emergent Topics in Optical and Wireless Communication Systems | 1 | Semestrial | Elective * | EEIS | 6.0 |
| Fault-Tolerant Electronic-Magnetic Systems | 1 | Semestrial | Elective * | EEIS | 6.0 |
| Machine Learning for Intelligent Systems | 1 | Semestrial | Elective * | EEIS | 6.0 |
| Methodologies of Mobile Robotics | 1 | Semestrial | Elective * | EEIS | 6.0 |
The optional course units are offered on a yearly basis, depending on the availability of the Organic Unit