| Subject Area | Free of Specialization Areas |
|---|---|
| Semester | Semester 7 – Fall |
| Type | Elective |
| Teaching Hours | 4 |
| ECTS | 6 |
| Scientific Responsible |
|
|---|---|
| Title | MLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum |
| Duration | 2023 – 2025 |
| Site | https://csl.e-ce.uth.gr/projects/mlsysops |
| Department of Electrical and Computer Engineering | |
|---|---|
| |
| Tel. | +30 24210 74967, +30 24210 74934 |
| gece ΑΤ e-ce.uth.gr | |
| PGS Tel. | +30 24210 74933 |
| PGS e-mail | pgsec ΑΤ e-ce.uth.gr |
| URL | https://www.e-ce.uth.gr/contact-info/?lang=en |
| Subject Area | Free of Specialization Areas |
|---|---|
| Semester | Semester 7 – Fall |
| Type | Elective |
| Teaching Hours | 4 |
| ECTS | 6 |
1. Special/researchemergingtopic
This course aims to cover special emerging research issues or specialized content not represented in the main curriculum.
Upon successful completion of this course, the student will be able to: