Subject Area | Signals, Communications, and Networking |
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Semester | Semester 9 – Fall |
Type | Elective |
Teaching Hours | 4 |
ECTS | 6 |
Prerequisites |
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Course Director |
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Course Instructor |
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Scientific Responsible |
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Title | Characterisation of LN2 UUI |
Duration | 2019 – 2023 |
Site | https://caslab.e-ce.uth.gr/ |
Scientific Responsible |
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Title | Qualcomm Faculty R&D Award 2019 |
Duration | 2019 – 2023 |
Site | https://caslab.e-ce.uth.gr/ |
Scientific Responsible |
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Title | C4g: Coding4Girls |
Duration | 2018 – 2020 |
Scientific Responsible |
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Title | MUTUAL: mutlicultral/multilingual learning in early years |
Duration | 2018 – 2019 |
Site | https://igorrazbornik.wixsite.com/mutual |
Scientific Responsible |
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Title | ALIEN: Active Learning in Engineering Education |
Duration | 2017 – 2020 |
Site | http://projectalien.eu |
Scientific Responsible |
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Title | DesignIT: Design Thinking in Engineering Education |
Duration | 2017 – 2019 |
Site | http://projectdesignit.eu |
Title | ADLES: Active Digital Learning Environments in Schools |
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Duration | 2017 – 2019 |
Site | http://adles.eu/ |
Scientific Responsible |
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Title | LEAP: Lean and Agile Practices linking Engineering Higher Education to Industry |
Duration | 2016 – 2018 |
Site | http://leapproject.eu/ |
Scientific Responsible |
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Title | SCoRPiO- Significance-Based Computing for Reliability and Power Optimization |
Duration | 2013 – 2016 |
Site | http://www.scorpio-project.eu |
Scientific Responsible |
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Title | Fed4FIRE – Federation for FIRE |
Duration | 2012 – 2016 |
Site | http://www.fed4fire.eu/home.html |
Department of Electrical and Computer Engineering | |
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Tel. | +30 24210 74967 |
gece ΑΤ e-ce.uth.gr | |
PGS Tel. | +30 24210 74934 |
PGS e-mail | pgsec ΑΤ e-ce.uth.gr |
Fax | +30 24210 74997 |
Subject Area | Signals, Communications, and Networking |
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Semester | Semester 9 – Fall |
Type | Elective |
Teaching Hours | 4 |
ECTS | 6 |
Prerequisites |
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Course Director |
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Course Instructor |
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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.