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

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      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
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ECE311 Database Systems I

Home » Studies » Undergraduate Studies » Undergraduate Courses » ECE311 Database Systems I
    Subject AreaSoftware and Information System Engineering
    SemesterSemester 5 – Fall
    TypeRequired
    Teaching Hours5
    ECTS6
    Course Sitehttps://eclass.uth.gr/courses/E-CE_U_176/
    Course Director

    Michael VassilakopoulosMichael Vassilakopoulos, Professor
    E-mail: mvasilako@uth.gr

    Course Instructors
    • Michael Vassilakopoulos, Professor
      E-mail: mvasilako@uth.gr
    • Eleni Tousidou, Laboratory Teaching Staff
      E-mail: etousido@e-ce.uth.gr
    • Description
    • Learning Outcomes

    Introduction to Database Management Systems (DBMS). Architecture of a DBMS. Data modeling with the Entity-Relationship model. Relational model. Transformation of the Entity-Relationship model to the Relational model. Relational algebra and relational calculus. SQL Language (data definition and manipulation). Introductory use of a Data Base Management System. Functional dependencies and Normalization. Design of a database. Physical organization of a DBMS. Storage media. File organizations and indexes.

    Through this course, a student is expected to:

    • Understand of the role and architecture of Database systems
    • Acquire knowledge and skills on modeling and designing Databases
    • Acquire knowledge and skills on programming Databases
    • Introduction to the physical organization of Databases
    • Acquire experience of installing, programming and managing of a Data Base Management System

    e-Yπηρεσίες

    Contact Info

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

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