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Depuis août 2023
Professeur depuis août 2023
Electronics&Embedded Engineering for aspiring engineers
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Àpd 182.36 CNY /h
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A Mechatronics Engineer graduate with a strong background in electronics and mathematics.
With my expertise in electronics, I can guide you through the fundamentals of circuit design, electronic components, and troubleshooting techniques.
Some Mathematics concepts will be covered to help with Electronics.
Whether you're a beginner or looking to advance your skills, I can provide personalised lessons tailored to your needs making complex concepts easy to grasp by breaking them down into simpler, relatable terms.
Lieu
location type icon
En ligne depuis Royaume-Uni
Présentation
I'm motivated to teach because I genuinely enjoy helping others overcome their difficulties and achieve their goals.
Witnessing the moment when a concept finally clicks for a student, where, all the dots start to connect is incredibly rewarding for me.
Education
-BEng (Hons) Mechatronics Engineering, The University of Wolverhampton
-NVQ City & Guilds Level 2 & Level 3 (Testing & Inspecting) in Electrical Installations
-BTEC Level 1 Diploma in IT
Expérience / Qualifications
-Junior electronics engineer
• Worked on embedded C STM32 microcontrollers.
• Developed C programming language.
• Testing electronic components.
• PCB design.
• Delivering on assigned projects.
-Electronics/Embedded Engineer
Age
Enfants (7-12 ans)
Adolescents (13-17 ans)
Adultes (18-64 ans)
Niveau du Cours
Débutant
Intermédiaire
Durée
60 minutes
Enseigné en
anglais
Disponibilité semaine type
(GMT -05:00)
New York
at teacher icon
Cours par webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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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 courses in engineering sciences (Electronics, automatics, electrical engineering, automation, programming).
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Analog electronic
electromagnetism
Signal processing and data acquisition
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Contacter Marko Chris
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Le premier cours est couvert par notre Garantie Le-Bon-Prof
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Engineer and senior professor of engineering sciences provides support courses in analog and digital electronics at all levels, engineering schools. having a scientific and technical knowledge, five years of experience in the field of teaching, teaching and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they have difficulties. for more info please contact me
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Helping others understand difficult topics and skills is something that I am very passionate about as an empathetic person. I have experience teaching Physics and Maths to kids from unprivileged backgrounds at the homework school in Saint-Gilles (CASG du Service Social Juif asbl) as well as 5 years of private teaching.

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- give practical advice for university applications (eg. UCAS in the UK) and discuss the exciting Physics research/work and projects you can work on later in life.

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===================Satisfied or refunded=======================
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Analog electronic
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- University levels (undergraduate and postgraduate).
- High school studies and diploma programs.
- Assistance with specific projects at a professional level, including job interview preparation.
- Extensive experience working with children.

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I prioritize a dynamic and interactive learning experience, with one-on-one sessions tailored to your individual requirements. Lessons will be conducted via webcam, enabling you to connect from anywhere.

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The question isn't "should they?" it's "how do we do it intelligently?"

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✓ What AI actually is: not magic, not mystery. How machines think, what they can do, what they can't
✓ How ChatGPT really works: not just "ask a question and get an answer," but why it responds that way, where it fails, when to trust it
✓ What LLMs are (Large Language Models): in language they understand, not tech jargon
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Kinematics: Study of rectilinear and circular movements, position vectors, speed and acceleration.
Dynamics: Newton's laws, work and energy, kinetic energy theorem.

2. Electromagnetism / Electrokinetics:
Electrostatics: Electric charges and fields, electric potential, capacitance.
Magnetostatics: Magnetic fields, Lorentz forces, electromagnetic induction.
Alternating Currents: RLC circuits, resonance, impedance.

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Principles of thermodynamics: Internal energy, heat, work, first and second principles.
Ideal and real gases: Equations of state, thermodynamic transformations.

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Automatic Linear, Kinematic, Static.

For more information and to register for the preparation session, please contact me.

Good preparation and success in your studies!

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Vous avez des données mais ne savez pas comment les exploiter ? Vous souhaitez prendre des décisions basées sur des faits concrets ? Ou vous êtes étudiant·e et voulez maîtriser les outils de l'analyse moderne ?
Ce cours est fait pour vous.

👨‍🏫 À propos du formateur :
Je suis Data Scientist et Ingénieur en Mathématiques Appliquées, diplômé de l’Université Cheikh Anta Diop (UCAD). Mon expertise repose sur une solide base en Mathématiques, Statistiques, Machine Learning et Visualisation de données. J’allie rigueur scientifique et outils modernes pour transformer des données brutes en décisions stratégiques.

🧠 Objectifs du cours :
Comprendre et manipuler les données (exploration, nettoyage, visualisation)

- Identifier les variables importantes et repérer les anomalies

- Appliquer les méthodes statistiques et Machine Learning pour extraire de la valeur

- Construire des tableaux de bord clairs et parlants pour la prise de décision

- Adapter les analyses aux besoins réels d’une entreprise ou d’un projet académique

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1. Introduction à l’analyse de données

- Qu’est-ce que l’analyse de données ?

- Typologie des données (quantitatives, qualitatives)

- Méthodologie globale

2. Préparation des données

- Nettoyage (valeurs manquantes, doublons, outliers)

- Encodage des variables catégorielles

- Normalisation et transformation

3. Visualisation et exploration

- Graphiques de distribution, de corrélation, de tendance

- Tableaux croisés, heatmaps, boxplots

- Détection de patterns et d’anomalies

4. Statistique descriptive et inférentielle

- Moyenne, Médiane, Ecart-type, Corrélation

- Tests statistiques : Khi2, t de Student, ANOVA

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- Régression linéaire/logistique

- Arbre de décision, Random forest, KNN, SVM

- Évaluation : accuracy, recall, precision, F1-score, AUC

6. Segmentation et classification non supervisée

- Clustering (K-means, DBSCAN, hiérarchique)

- Réduction de dimension (ACP/PCA)

7. Projets réels (au choix)

- Analyse des ventes / Churn client / Scoring de crédit / Santé publique

- Ou projet personnalisé à vos propres données

💻 Outils utilisés :

- Python (Pandas, Matplotlib, Scikit-learn, Seaborn)

- ou R (selon la préférence)

- Excel, Power BI/Tableau (pour la visualisation avancée)
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No previous coding experience is required!

🛠️ Course Methodology:

Step-by-step, hands-on learning.

Clear explanations with real-life examples.

Tips on writing clean, understandable, and reusable code.
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Hello high school students! My name is Soufiane, Master's in Data Science & AI.

I offer 100% NSI (Digital Science and Technology) courses:
- Python (variables, functions, lists, dictionaries, OOP)
- Algorithms (sorting, searching, complexity, divide & conquer)
- Recursion (recursive functions, stacks, trees)
- Databases (SQL, relational models, queries)
- Architecture (systems, networks, protocols)
- Web (HTML/CSS/JS, Flask, client-server)
- Baccalaureate projects (subject 0, assessed mini-projects, clean code)
- Past papers & practice exams (2024/2025 step-by-step solutions) Objective: BAC NSI > 16/20 (written exam + project)
- Enhanced Parcoursup (specializations, engineering schools)
- Complete mastery of the program

Why me ?
100% interactive course: live coding, debugging...
Professional supports: algo sheets, Python/SQL templates, PDF reports
Flexible hours: evenings, weekends, holiday internships
At home (Cergy, Pontoise, Sarcelles – free within 15 km) or Zoom + screen sharing
Invoices issued

Limited places available (max 8 students). Contact me by message to schedule an appointment.
Respond quickly before the start of term! See you soon to ace your NSI exams!
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My name is Dina, I am an engineer with a degree from INSAT and I am passionate about software development and embedded systems.

🎓 My experience:
- Computer and Embedded Systems Engineer
- Experience at the German Space Agency, where I worked on cutting-edge projects in embedded software and advanced technologies.
- Several projects in C, C++, Linux, IoT and industrial environments

💡 What I propose:
- Personalized C and C++ courses, tailored to your level:

- Programming basics
- Pointers, memory, structures, files
- Object-oriented programming (C++)
- Practical exercises & mini-projects
- Understanding embedded systems for those who want to go further

🔥 Why learn with me?

- Clear and progressive teaching methods
- Practical experience in industry and aerospace
- Complete adaptation to your pace
- We can support you in your academic or professional projects

📩 Interested? Contact me to book your first lesson!
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I teach coding to beginners and intermediate students.
Lessons focus on logic, basic programming, and practical exercises.
Classes are adapted to the student’s pace.
Students can choose between website or mobile app development.Hands on dev
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I offer online tutoring in High School Mathematics & Physics, University Electronics/Electronic Circuits, and Turkish language.
Lessons are structured, clear, and focused on understanding + practice, with personalized plans, step-by-step solutions, and regular feedback.
Garantie Le-Bon-Prof
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Contacter Marko Chris