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Since August 2023
Instructor since August 2023
Translated by GoogleSee original
Learn application design, programming
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From 33.99 Fr /h
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As a private teacher, my approach is centered on the individualization of teaching to meet the specific needs of each learner.

My teaching techniques and methods are based on an interactive and practical approach.

In a typical lesson, I begin by assessing the student's level, current skills, and learning goals. Then, I plan the course content based on these elements, making sure to cover the most relevant and useful topics for the student.

During the session, I introduce key concepts, explain fundamentals, and provide concrete examples to illustrate each idea. I actively encourage the student to ask questions and express their difficulties so that we can work together on points that require clarification or special attention.

My courses are aimed at a wide range of students, from beginners looking to learn about development to more experienced developers who want to improve their skills in specific languages or technologies. I can teach students of different educational levels, professionals looking to broaden their skills, or people interested in retraining in the field of development.
Extra information
Have a computer
Location
location type icon
Online from France
Age
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
French
Availability of a typical week
(GMT -05:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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English text below

PhD Candidate in Computer Science – Private Tutoring & Pancyprian Exams

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Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer support courses in the subjects of engineering sciences (Electronics, automatics, electrical engineering, automation, programming).

Digital electronics
Analog electronic
electromagnetism (propagation of high frequency waves)
Automatic (continuous, sampled)
electrical engineering (transformers, electrical machines, switching power supply)
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renewable energy (wind, PV)
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Respond to individual issues and questions

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◾ Tools

RStudio • SQL • SPSS • SAS • Jamovi • JASP

◾ Statistical Methods & Tests

Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation

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- Data preparation, structuring and validation using SAS, R and SQL
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- Preparation and structuring of databases
- Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA)
- Linear and logistic regressions
- Factor analyses (PCA / MCA)
- Mediation and moderation models
- Classification / clustering

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- Lectures, tutorials, projects and assignments in statistics
- Help in understanding and interpreting the results
- Preparation for exams and academic presentations

2) Statistical analysis

- Descriptive statistics (univariate and bivariate)
- Multivariate analyses
- Data exploration and outlier detection

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- Correlations (Pearson, Spearman, Cohen's Kappa)
- t-tests (one and two samples, independent or paired)
- Chi-square, binomial tests
- z-scores and associated indicators

4) Statistical modeling

- Linear regressions (simple and multiple)
- Logistic regression
- Interpretation of coefficients, diagnostics and validation of models

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- One- or multi-factor ANOVA
- Repeated measures ANOVA
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doctoral student in engineering sciences provides support courses in analog and digital electronics at any DEUG level and engineering schools. having scientific and technical knowledge, three years of experience in the field of teaching, pedagogy and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they are having difficulty. for more info please contact me
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Work on YOUR project (PFE, portfolio, startup MVP) - not generic tutorials
Learn production debugging - how to fix real errors, not just write code
Get your app deployed LIVE with proper CI/CD and monitoring
GitHub repo ready to show employers with professional commit history

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Students: Ship your projects with professional standards (authentication, deployment, documentation)
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Είμαι Υποψήφιος Διδάκτορας Πληροφορικής και προσφέρω ιδιαίτερα μαθήματα Πληροφορικής σε μαθητές Λυκείου (Παγκύπριες Εξετάσεις) καθώς και σε φοιτητές Πανεπιστημίου, με έμφαση στη σωστή κατανόηση και στη μεθοδική σκέψη.

Παγκύπριες Εξετάσεις – Πληροφορική

Συστηματική προετοιμασία με έμφαση:
• κατανόηση της ύλης
• σωστή αλγοριθμική σκέψη
• μεθοδολογία επίλυσης θεμάτων
• ανάλυση παλαιών θεμάτων Παγκυπρίων

Καλύπτουμε ενδεικτικά: ψευδοκώδικα, πίνακες, επαναλήψεις, δομές ελέγχου και συχνά λάθη εξετάσεων.

Φοιτητές & Γενική Πληροφορική

Υποστήριξη σε:
• Προγραμματισμό (C / C++ / Python)
• Λειτουργικά Συστήματα
• Αρχιτεκτονική Υπολογιστών
• Κατανόηση & debugging κώδικα

Μαθήματα δια ζώσης ή online, με έμφαση στην κατανόηση και στη σωστή οργάνωση μελέτης.


English text below

PhD Candidate in Computer Science – Private Tutoring & Pancyprian Exams

I am a PhD candidate in Computer Science offering private tutoring for high school students (Pancyprian Exams – Computer Science) and university students.

Pancyprian Exams – Computer Science

Structured exam preparation focusing on:
• understanding the syllabus
• correct algorithmic thinking
• exam-oriented problem-solving
• analysis of past Pancyprian exams

Topics include pseudocode, arrays, loops, control structures, and common exam mistakes.

University & General Computer Science

Support in:
• Programming (C / C++ / Python)
• Operating Systems
• Computer Architecture
• Code understanding and debugging

Lessons are available in person or online, with emphasis on understanding concepts rather than memorization.
verified badge
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By the end of the course, you will be able to work with datasets, create clear and professional graphs, and perform meaningful data analysis for projects, studies, or work.
verified badge
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2- Increase efficiency by using the most powerful syntactic shortcuts.
3- Secure your code to avoid frequent bugs related to missing data.
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The course is divided into 13 key concepts, illustrated by comparative examples (classic syntax vs. modern syntax) and concrete use cases in React:

1- Ease of writing: Use of Template Literals (`backticks`) for dynamic character strings and Shorthand property names to simplify the creation of objects.

2- Logic and Functions: Mastery of Arrow => Functions (arrow functions) and their implicit return, essential for React components and hooks.

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1- Managing default parameter values.

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🛠️ Teaching method: "Learning by doing"

This course is not just about theory. It includes:

The "Interstellar Dashboard" Exercise: A 15-minute thematic case study where students manipulate data from space missions. This allows them to immediately apply destructuring, filtering, and asynchronicity to a real-world project.

The Interactive Quiz: A series of 10 questions designed to validate understanding of each concept before moving on. Each question presents real-world scenarios that developers will encounter in React.

🚀 Learner's result

By the end of this course, students will not only "know" JavaScript; they will understand why and how each syntax is used to build efficient React components. They will leave with a solid foundation to confidently tackle Hooks (useState, useEffect) and complex state management.

Format: Clean visual presentation, coloured syntax for code, and focus on readability.
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