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      MORCIC: Model Order Reduction of Electromagnetic Models for Large Integrated Circuits

      Scientific Responsible

      Nestor EvmorfopoulosNestor Evmorfopoulos, Associate Professor
      E-mail: nestevmo@e-ce.uth.gr

      Title MORCIC: Model Order Reduction of Electromagnetic Models for Large Integrated Circuits
      Duration 2021 – 2023
      Site https://morcic.e-ce.uth.gr/

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      SL-ReDu: Sign Language Recognition in Education

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      Gerasimos PotamianosGerasimos Potamianos, Associate Professor
      E-mail: gpotamianos@e-ce.uth.gr

      Title SL-ReDu: Sign Language Recognition in Education
      Duration 2020 – 2023
      Site https://sl-redu.e-ce.uth.gr/

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      Characterisation of LN2 UUI

      Scientific Responsible

      Christos SotiriouChristos Sotiriou, Professor
      E-mail: chsotiriou@e-ce.uth.gr

      Title Characterisation of LN2 UUI
      Duration 2019 – 2023
      Site https://caslab.e-ce.uth.gr/

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      Qualcomm Faculty R&D Award 2019

      Scientific Responsible

      Christos SotiriouChristos Sotiriou, Professor
      E-mail: chsotiriou@e-ce.uth.gr

      Title Qualcomm Faculty R&D Award 2019
      Duration 2019 – 2023
      Site https://caslab.e-ce.uth.gr/

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      • Sekeri – Cheiden Str
        Pedion Areos, ECE Building
        383 34 Volos – Greece
      Tel. +30 24210 74967
      e-mail gece ΑΤ e-ce.uth.gr
      PGS Tel. +30 24210 74934
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ECE460 Advanced Data Management

Home » Studies » Undergraduate Studies » Undergraduate Courses » ECE460 Advanced Data Management
Subject Area Software and Information System Engineering
Semester Semester 8 – Spring
Type Elective
Teaching Hours 4
ECTS 6
Prerequisites
  • ECE311 Database Systems I
Course Director

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

Course Instructor
  • Michael Vassilakopoulos, Professor
    E-mail: mvasilako@uth.gr
  • Description
  • Learning Outcomes

Management of Big Data and NoSQL Databases (DBs), Aggregate data models, Models and frameworks of distributed processing, Consistency and NoSQL DBs, Types of NoSQL DBs (key-value, document, column, graph). Efficient processing of demanding queries on big data (advanced indexes, processing in multicore and in parallel and distributed environments, exploitation of SSDs).

Through this course, a student is expected to:

  • Acquire knowledge on NoSQL Databases (DBs), Aggregate data models, Models and frameworks of distributed processing, Consistency and NoSQL DBs, Types of NoSQL DBs
  • Develop skills on modeling, design and implementation of NoSQL DBs
  • Acquire knowledge on efficient processing of demanding queries on big data
  • Develop skills on design and programming of algorithms for efficient processing of demanding queries on big data

e-Yπηρεσίες

Contact Info

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

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