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Professeur fiable
Ce professeur a un délai et un taux de réponse très élevé, démontrant un service de qualité et sa fidélité envers ses élèves.
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Depuis mars 2023
Professeur depuis mars 2023
C/C++ Programming - Data Structures - Algorithms Teacher (Online or Offline for groups)
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Àpd 23.61 $ /h
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I'm a teacher with 5 years experience in C++ programming and Data Structures, also a Former Microsoft Software Engineer Intern.
I have 5 years experience in competitive programming, participted in the ICPC (International Collegiate Programming Contest), qualified to ACPC (Africa & Arab Collegiate Programming Contest) 3 times in a row, and ranked first on a qualifications contest among more than 100 teams.

I can take you from Zero to Hero in C++ Programming and Data Structures.
I can also guide you in competitive programming up to ~Expert codeforces level, explain to you any problems you don't understand, and code it with you.

Making sure you understand well and gain new interesting knowledge in every single lesson is my main priority, so feel free to contact me if you need help.
Informations supplémentaires
I also offer an effective way of online teaching, so you better give it a try.
Lieu
location type icon
En ligne depuis Égypte
Age
Enfants (7-12 ans)
Adolescents (13-17 ans)
Adultes (18-64 ans)
Seniors (65+ ans)
Niveau du Cours
Débutant
Intermédiaire
Avancé
Durée
30 minutes
45 minutes
60 minutes
90 minutes
120 minutes
Enseigné en
anglais
arabe
Commentaires
Disponibilité semaine type
(GMT -04:00)
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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In this class, we skip the theory. Your child creates real things.

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✓ Build real projects in Scratch: a working game, an interactive animation, a story they coded
✓ Program virtual robots: solve real-world challenges (navigate a maze, automate a task, build a system)
✓ Create in Minecraft Education: design worlds, automate constructions, solve logic problems
✓ Experiment with different languages: not just learn "the right way," but understand that there are many ways to think about a problem
✓ Collaborate and share: work with other kids, get feedback, improve their work
✓ Develop logical thinking: not just for coding, but for anything: solving math problems, science challenges, real-world situations


Why this is different:
We don't teach syntax. We teach how programmers think.
Most children's coding courses say "here's the code, copy it." We teach "what problem are we trying to solve? How could we break it into steps? What options do we have?"
When your child learns to think like a programmer, they can learn any language afterward.

What they take home:
A portfolio of 3–4 completed, working projects. The ability to say "I built this." And the deep understanding that code is a tool to make real things happen.

Format: Online or Barcelona | 60–90 min sessions | Flexible pace, no prior experience needed
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- Researchers who need to process and present data properly

I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.
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Data science, statistics & mathematics – clearly explained, personally supported.
My name is Kian, an experienced tutor from Bern. I support students, career starters, and professionals on their journey into the data-driven world—whether in their studies, projects, or everyday work.

With my structured, understandable, and motivating approach, I'll help you not only solve problems but also understand data, recognize connections, and make informed decisions. My lessons are personalized, efficient, and at eye level.

Who I am – and why I teach:
I teach in Bern and successfully completed the MAS program in Statistical Data Science at the University of Bern, focusing on statistics, mathematics, and data science. For several years, I have been passionately teaching, both in academic contexts and for professionals who want to think and work more data-driven.

In parallel to my teaching, I have implemented numerous data science projects – from exploratory analysis and data modeling to decision support in a business context. This combination of theory and practice makes my teaching particularly close to reality while remaining accessible.

I love making complex topics tangible, creating aha moments, and empowering people to handle data confidently. For me, tutoring isn't just about imparting knowledge—it's about developing their minds on equal terms.

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One-to-one lessons with a focus on data comprehension, statistics & analytical thinking
Support with projects, assignments, exams or getting started in the data world
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*الهدف: فهم الذكاء الاصطناعي بلا خوف، استخدامه لتبسيط الحياة، وكشف الفخاخ الرقمية**

### **1: إزالة الغموض عن الذكاء الاصطناعي (ما هو بالضبط؟)**

* **الذكاء الاصطناعي ليس "روبوت الأفلام":** الفرق الجوهري بين الخيال العلمي والواقع العملي.
* **كيف يعمل (ببساطة):** تخيل "مكتبة عملاقة"؛ لقد قرأ الذكاء الاصطناعي مليارات الكتب ويستخدمها لتوقع تكملة جملة ما أو ابتكار صورة جديدة.
* **أين نستخدمه حالياً؟** المصحح اللغوي، مقترحات نتفليكس ويوتيوب، نظام الملاحة (GPS)، والمساعدات الصوتية مثل (سيري وأليكسا).

---

### **2: استخدام الذكاء الاصطناعي لتسهيل حياتك**

* **التحاور مع الذكاء الاصطناعي (ChatGPT, Claude, Gemini):**
* كتابة رسائل البريد الإلكتروني الرسمية أو الخطابات المعقدة.
* تلخيص المقالات الطويلة أو الوثائق الضخمة.
* تخطيط مسارات السفر أو ابتكار وصفات طعام من المكونات المتوفرة في الثلاجة.


* **الإبداع والذاكرة:**
* إنشاء صور مبتكرة لبطاقات المعايدة (عبر Midjourney أو DALL-E).
* ترميم وتلوين صور العائلة القديمة.

3: فن التحدث مع الآلة (مهارة الـ Prompt)**

* **أسلوب السياق:** لماذا عبارة "أعطني وصفة كعكة" أقل فعالية من "أنا أعاني من حساسية الجلوتين وسأستقبل 4 أشخاص، أعطني وصفة كعكة شوكولاتة بسيطة".
* **تقمص الأدوار:** تعلم أن تطلب من الذكاء الاصطناعي "تحدث كخبير سياحي" أو "أجبني كمهندس زراعي مختص".

4: الاحتياطات والتفكير النقدي (دليل النجاة)**

الهلوسة الرقمية":** فهم أن الذكاء الاصطناعي قد يقدم معلومات خاطئة بثقة تامة (لا تعتمد عليه أبداً في استشارة طبية أو قانونية دون تحقق).
حماية الخصوصية
عدم مشاركة بيانات حساسة (أرقام الهوية، كلمات المرور، تفاصيل البنك).
إدراك أن كل ما تكتبه قد يُستخدم في تدريب الأنظمة مستقبلاً.

كشف التزييف العميق (Deepfakes):**
كيفية تمييز الصور أو الفيديوهات المفبركة (التدقيق في تفاصيل اليدين، الانعكاسات الغريبة، أو الصوت المعدني).
* القاعدة الذهبية: التحقق عبر مقاطعة المصادر المختلفة.

5: الأخلاقيات والأثر (رؤية مستقبلية)**

حقوق الملكية:** لمن تعود ملكية الصورة التي أنشأها الذكاء الاصطناعي؟
الأثر البيئي:** استهلاك المياه والطاقة في مراكز البيانات الضخمة.
المستقبل:** هل سيحل الذكاء الاصطناعي محلنا أم سيكون مساعداً لنا؟

نصيحة إضافية:** بما أنك تستهدف منطقة الخليج، يفضل استخدام مصطلحات مثل "التحول الرقمي" (Digital Transformation) و"الابتكار" (Innovation) في مقدمة عرضك، فهي كلمات رنانة جداً لدى صناع القرار هناك.
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Ce cours d’informatique est destiné aux élèves et étudiants souhaitant acquérir des bases solides en programmation orientée objet (POO). Il convient aux débutants ainsi qu’aux personnes ayant déjà des notions de programmation et souhaitant mieux structurer leur code.

Nous aborderons notamment :
• concepts fondamentaux de la POO (classes, objets, attributs, méthodes)
• encapsulation, héritage et polymorphisme
• structures de contrôle et logique de programmation
• bonnes pratiques de codage et résolution de problèmes
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Contacter Magdy
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Le premier cours est couvert par notre Garantie Le-Bon-Prof
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Most kids think coding is for "smart kids" or "future programmers."
It's not. Coding is how real people solve real problems.
In this class, we skip the theory. Your child creates real things.

What they'll do:
✓ Build real projects in Scratch: a working game, an interactive animation, a story they coded
✓ Program virtual robots: solve real-world challenges (navigate a maze, automate a task, build a system)
✓ Create in Minecraft Education: design worlds, automate constructions, solve logic problems
✓ Experiment with different languages: not just learn "the right way," but understand that there are many ways to think about a problem
✓ Collaborate and share: work with other kids, get feedback, improve their work
✓ Develop logical thinking: not just for coding, but for anything: solving math problems, science challenges, real-world situations


Why this is different:
We don't teach syntax. We teach how programmers think.
Most children's coding courses say "here's the code, copy it." We teach "what problem are we trying to solve? How could we break it into steps? What options do we have?"
When your child learns to think like a programmer, they can learn any language afterward.

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A portfolio of 3–4 completed, working projects. The ability to say "I built this." And the deep understanding that code is a tool to make real things happen.

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Are you facing hurdles with your programming projects? Let's tackle them together!

As a Geophysics PhD student, I rely heavily on programming tools like Matlab, Python, and R for data analysis, mathematical modeling, plot results and much more.

After a lot of requests from students I created this course which is specifically meant to give you support completing your final programming projects.

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Whether you require a single session or a series of in-depth consultations, my goal remains the same: to help you break through programming barriers and achieve your goals.

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verified badge
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Data science, statistics & mathematics – clearly explained, personally supported.
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Who I am – and why I teach:
I teach in Bern and successfully completed the MAS program in Statistical Data Science at the University of Bern, focusing on statistics, mathematics, and data science. For several years, I have been passionately teaching, both in academic contexts and for professionals who want to think and work more data-driven.

In parallel to my teaching, I have implemented numerous data science projects – from exploratory analysis and data modeling to decision support in a business context. This combination of theory and practice makes my teaching particularly close to reality while remaining accessible.

I love making complex topics tangible, creating aha moments, and empowering people to handle data confidently. For me, tutoring isn't just about imparting knowledge—it's about developing their minds on equal terms.

-What you can expect from me:
One-to-one lessons with a focus on data comprehension, statistics & analytical thinking
Support with projects, assignments, exams or getting started in the data world
Practical explanations – step by step and adapted to your everyday life
Teaching modern methods for data analysis, modeling & interpretation
Long-term strategies for problem-solving & structured thinking
Flexible lessons in Bern or online – personal, competent & reliable

Why I can help you understand data science:
Because I work at the interface between science and practice. I know how quickly you can get lost in formulas and tools—and I'll help you see the common thread:
How data tells stories, how you analyze it, and how you make smart decisions.

With me, you won't just learn methods—you'll learn how to think with data. Whether in your studies or in your career, I'll guide you in truly understanding data and applying it confidently.
Learn data analysis.
Analyze and model complex data sets – understandable, practical and with structure.
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*الهدف: فهم الذكاء الاصطناعي بلا خوف، استخدامه لتبسيط الحياة، وكشف الفخاخ الرقمية**

### **1: إزالة الغموض عن الذكاء الاصطناعي (ما هو بالضبط؟)**

* **الذكاء الاصطناعي ليس "روبوت الأفلام":** الفرق الجوهري بين الخيال العلمي والواقع العملي.
* **كيف يعمل (ببساطة):** تخيل "مكتبة عملاقة"؛ لقد قرأ الذكاء الاصطناعي مليارات الكتب ويستخدمها لتوقع تكملة جملة ما أو ابتكار صورة جديدة.
* **أين نستخدمه حالياً؟** المصحح اللغوي، مقترحات نتفليكس ويوتيوب، نظام الملاحة (GPS)، والمساعدات الصوتية مثل (سيري وأليكسا).

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### **2: استخدام الذكاء الاصطناعي لتسهيل حياتك**

* **التحاور مع الذكاء الاصطناعي (ChatGPT, Claude, Gemini):**
* كتابة رسائل البريد الإلكتروني الرسمية أو الخطابات المعقدة.
* تلخيص المقالات الطويلة أو الوثائق الضخمة.
* تخطيط مسارات السفر أو ابتكار وصفات طعام من المكونات المتوفرة في الثلاجة.


* **الإبداع والذاكرة:**
* إنشاء صور مبتكرة لبطاقات المعايدة (عبر Midjourney أو DALL-E).
* ترميم وتلوين صور العائلة القديمة.

3: فن التحدث مع الآلة (مهارة الـ Prompt)**

* **أسلوب السياق:** لماذا عبارة "أعطني وصفة كعكة" أقل فعالية من "أنا أعاني من حساسية الجلوتين وسأستقبل 4 أشخاص، أعطني وصفة كعكة شوكولاتة بسيطة".
* **تقمص الأدوار:** تعلم أن تطلب من الذكاء الاصطناعي "تحدث كخبير سياحي" أو "أجبني كمهندس زراعي مختص".

4: الاحتياطات والتفكير النقدي (دليل النجاة)**

الهلوسة الرقمية":** فهم أن الذكاء الاصطناعي قد يقدم معلومات خاطئة بثقة تامة (لا تعتمد عليه أبداً في استشارة طبية أو قانونية دون تحقق).
حماية الخصوصية
عدم مشاركة بيانات حساسة (أرقام الهوية، كلمات المرور، تفاصيل البنك).
إدراك أن كل ما تكتبه قد يُستخدم في تدريب الأنظمة مستقبلاً.

كشف التزييف العميق (Deepfakes):**
كيفية تمييز الصور أو الفيديوهات المفبركة (التدقيق في تفاصيل اليدين، الانعكاسات الغريبة، أو الصوت المعدني).
* القاعدة الذهبية: التحقق عبر مقاطعة المصادر المختلفة.

5: الأخلاقيات والأثر (رؤية مستقبلية)**

حقوق الملكية:** لمن تعود ملكية الصورة التي أنشأها الذكاء الاصطناعي؟
الأثر البيئي:** استهلاك المياه والطاقة في مراكز البيانات الضخمة.
المستقبل:** هل سيحل الذكاء الاصطناعي محلنا أم سيكون مساعداً لنا؟

نصيحة إضافية:** بما أنك تستهدف منطقة الخليج، يفضل استخدام مصطلحات مثل "التحول الرقمي" (Digital Transformation) و"الابتكار" (Innovation) في مقدمة عرضك، فهي كلمات رنانة جداً لدى صناع القرار هناك.
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Ce cours d’informatique est destiné aux élèves et étudiants souhaitant acquérir des bases solides en programmation orientée objet (POO). Il convient aux débutants ainsi qu’aux personnes ayant déjà des notions de programmation et souhaitant mieux structurer leur code.

Nous aborderons notamment :
• concepts fondamentaux de la POO (classes, objets, attributs, méthodes)
• encapsulation, héritage et polymorphisme
• structures de contrôle et logique de programmation
• bonnes pratiques de codage et résolution de problèmes
Garantie Le-Bon-Prof
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