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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@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

      Read More

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ECE8110 Introduction to Computer Science

Home » Studies » Postgraduate » MSc Studies in “Applied Informatics” » Postgraduate Courses of PGS in “Applied Informatics” » ECE8110 Introduction to Computer Science
    Program of Graduate StudiesApplied Informatics
    Subject AreaApplications and Foundations of Computer Science
    SemesterSemester 1 – Fall
    TypeRequired
    ECTS10
    Weekly Teaching Hours4
    Course Sitehttps://eclass.uth.gr/courses/E-CE_P_143/
    Course Instructor

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

    Course Instructor
    • Eleni Tousidou, Laboratory Teaching Staff
      E-mail: etousido@uth.gr
    Books
    • Διακριτά Μαθηματικά και Εφαρμογές τους, Kenneth H. Rosen, 7η έκδοση, Εκδόσεις Τζιόλα, 2015, Θεσσαλονίκη.
    • Εισαγωγή στην Επιστήμη των Υπολογιστών, Behrouz Forouzan & Firouz Mosharraf, 2η έκδοση, Εκδόσεις Κλειδάριθμος, 2010, Αθήνα
    • Description
    • Learning Outcomes

    The course provides the students an introduction to the components of a computing system, data representation, the basic mathematical tools and the algorithms. The following topics are covered: The components of a computer. Numeral systems and operations. Data storage. Computer Organization (Hardware, Operating System, Software). Induction and Recursion. Relations and functions. Algorithms and Complexity. Counting Techniques. Discrete Probability. Graphs and Trees

    The course introduces to basic notions of Computer Science. Aims at introducing to the components of a computing system (software and hardware), and the basic concepts of discrete mathematics and algorithms.

    Upon successful completion of this course, the student will be able to:

    • know the components of a computing system
    • know the fundamental mathematical tools of computer science
    • understand and use basic data representation and storage techniques
    • understand the basic notions of algorithms

    e-Yπηρεσίες

    Contact Info

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

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