Program of Graduate Studies | Applied Informatics |
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Subject Area | Software and Information Systems Technologies |
Semester | Semester 3 – Fall |
Type | Elective |
ECTS | 10 |
Weekly Teaching Hours | 4 |
Course Instructor |
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Course Instructor |
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Scientific Responsible |
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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 | |
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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 |
Program of Graduate Studies | Applied Informatics |
---|---|
Subject Area | Software and Information Systems Technologies |
Semester | Semester 3 – Fall |
Type | Elective |
ECTS | 10 |
Weekly Teaching Hours | 4 |
Course Instructor |
|
Course Instructor |
|
The students participate in a software development project in large groups. In the context of the project students have to opportunity to attain hands-on experience on the technical and administrative issues related to software systems development, as well as to use modern tools used in this context.
The main goal of the course is to provide students with the technical and administrative skills necessary to develop large-scale software projects by large groups. After successfully fulfilling the requirements of the course, students are capable of: