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      MLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum

      Scientific Responsible

      Spyros LalisSpyros Lalis, Professor
      E-mail: lalis@e-ce.uth.gr

      TitleMLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum
      Duration2023 – 2025
      Sitehttps://csl.e-ce.uth.gr/projects/mlsysops

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      • Sekeri – Cheiden Str
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      e-mailgece ΑΤ e-ce.uth.gr
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ECE313 Computer Networks I

Home » Studies » Undergraduate Studies » Undergraduate Courses » ECE313 Computer Networks I
    Subject AreaSignals, Communications, and Networking
    SemesterSemester 5 – Fall
    TypeRequired
    Teaching Hours5
    ECTS6
    Recommended Courses
    • ECE217 Probability & Statistics
    Course Director

    Athanasios KorakisAthanasios Korakis, Professor
    E-mail: korakis@e-ce.uth.gr

    Course Instructor
    • Athanasios Korakis, Professor
      E-mail: korakis@e-ce.uth.gr
    • Description
    • Learning Outcomes

    The course is dealing with basic concepts of computer networking. The students are introduced in the concepts of basic communication mechanisms and protocols, based on the TCP/IP networking stack. During the course, the operation of each layer is examined (Application, Transport, Network, Data Link), as well as different inter-networking technologies and digital support services. Moreover, the students are introduced to the operation of real networking equipment by solving practical problems, with a hands-on approach using networking testbeds.

    By the end of the course, the students shall be able to:

    • Understand the OSI reference model and concepts of message encapsulation
    • Understand and use implementation of protocols used in computer networking
    • Use and program networking equipment (switches, routers, etc.) and understand the purpose of each device
    • To be able to design and manage in practice local networks, and configure them in order to communicate with other networks
    • To use packet capturing software and analyze packet traces in order to conclude on the normal operation of the network

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    Contact Info

    • Sekeri – Cheiden Str, Pedion Areos, Volos
    • +30 24210 74967
    • +30 24210 74934
    • Email: gece@e-ce.uth.gr

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