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

      TitleMLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum
      Duration2023 – 2025
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ECE339 Applied Statistics

Home » Studies » Undergraduate Studies » Undergraduate Courses » ECE339 Applied Statistics
Subject AreaSignals, Communications, and Networking
SemesterSemester 5 – Fall
TypeElective
Teaching Hours4
ECTS6
Prerequisites
  • ECE217 Probability & Statistics
Course Director

Antonios ArgyriouAntonios Argyriou, Professor
E-mail: anargyr@uth.gr

Course Instructor
  • Catherine Housti, Emeritus Professor
    E-mail: houstis@uth.gr
  • Description
  • Learning Outcomes

This course provides an elementary introduction to probability and statistics with applications. Topics include: basic combinatorics, random variables, probability distributions, Bayesian inference, hypothesis testing, confidence intervals, and linear regression.

The purpose of this course is to present the necessary statistical techniques for data processing. At the end of this course the student will be able to: describe the statistical properties of data, effectively deals with probability distributions and random variables (discrete and/or continuous), and understands and applies statistical inference in a variety of important applications.

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Contact Info

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

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