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Depuis novembre 2021
Professeur depuis novembre 2021
Android Application Development Fundamentals For Beginners & Intermediate
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Àpd 50.87 CNY /h
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In this comprehensive class, we delve into the essential foundations of Android app development, covering both theoretical concepts and practical implementations. Throughout the course, students will gain proficiency in a wide range of topics, from object-oriented programming principles to the creation of sophisticated application user interfaces. Here's a breakdown of what we'll cover:

1. Basics of Android App Development:

Introduction to the Android platform and its ecosystem.
Understanding the Android development environment, including Android Studio and the Android SDK.
Exploring the components of an Android application, such as activities, fragments, intents, and layouts.
Hands-on exercises to build simple Android apps from scratch.

2. Object-Oriented Concepts and Standard Design Patterns:

Explanation of core object-oriented programming (OOP) concepts such as inheritance, polymorphism, encapsulation, and abstraction.
Introduction to common design patterns like Singleton, Factory, Observer, and MVC (Model-View-Controller).
Practical examples and discussions on when and how to apply design patterns in Android app development.

3. Writing Code Using Architecture Design Patterns:

Deep dive into modern architecture design patterns such as MVVM (Model-View-ViewModel), MVP (Model-View-Presenter), and Clean Architecture.
Hands-on coding sessions to implement these patterns in Android projects.
Best practices for structuring Android codebase for scalability, maintainability, and testability.

4. Understanding Large and Complex Code Bases:

Techniques for navigating and understanding large Android codebases.
Strategies for keeping code clean, modular, and maintainable.
Code refactoring exercises and discussions on code quality metrics and tools.
5. Open-Source Contributions and Project-Based Learning:

Introduction to open-source Android projects and communities.
Guidance on contributing to open-source projects and leveraging them for learning.
Project-based assignments to apply learned concepts and techniques in real-world scenarios.

6. Mentoring for Self-Projects and Guidance Provided:

One-on-one mentoring sessions to provide personalized guidance and support for self-initiated projects.
Feedback and code reviews to help students improve their coding skills and project implementations.
Assistance in overcoming challenges and roadblocks encountered during project development.

By the end of this class, students will not only have a solid understanding of Android app development fundamentals but also possess the skills and knowledge required to tackle complex Android projects with confidence. Whether you're a beginner looking to start your journey in Android development or an experienced developer aiming to level up your skills, this class is designed to empower you with the expertise needed to succeed in the dynamic world of Android app development.
Informations supplémentaires
learn and understand basic to advanced concepts of android application development.
Lieu
location type icon
En ligne depuis Inde
Présentation
Hello, I'm Mohammed Fahim, a Senior Android Developer with over six years of experience, currently leading projects at Tagit RFID Solutions. I bring a strong background in architecting and developing Android applications, managing cross-functional teams, and ensuring the delivery of high-quality products.

Skills:
Proficient in Java and Kotlin, Android UI/UX design, and architectural patterns such as MVP and MVVM. I'm well-versed in collaboration tools like Git, JIRA, and understand the Software development lifecycle.

In summary, my extensive experience, technical proficiency, and commitment to continuous learning position me as a valuable contributor to Android development.
Education
I hold a Master's degree in Information Technology from the University of Mumbai, achieving a CGPA of 7.7. My coursework covered Advanced Computer Networks, Cloud Architecture, Artificial Intelligence, and Software Engineering. Additionally, I earned a Bachelor's degree with a CGPA of 7.4, specializing in Java, Data Structures & Algorithms, and Database Systems.
Expérience / Qualifications
In my current role, I lead a team of developers, contributing to the architecture and development of the Android applications. I specialize in Java, Kotlin, and frameworks like Android, Flutter and IOS, with Additional hands-on experience in integrating RFID scanners and BLE hardware.
Age
Adultes (18-64 ans)
Niveau du Cours
Débutant
Intermédiaire
Avancé
Durée
90 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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### **1: إزالة الغموض عن الذكاء الاصطناعي (ما هو بالضبط؟)**

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---

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

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* **أسلوب السياق:** لماذا عبارة "أعطني وصفة كعكة" أقل فعالية من "أنا أعاني من حساسية الجلوتين وسأستقبل 4 أشخاص، أعطني وصفة كعكة شوكولاتة بسيطة".
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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):**
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* 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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Tous les sections ,Maths pour les élèves de bac, eco ,maths ,info , sciences
Maths pour les élèves de bac, eco ,maths ,info , sciences
Maths pour les élèves de bac, eco ,maths ,info , sciences
Maths pour les élèves de bac, eco ,maths ,info , sciences
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Contacter Fahim
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Le premier cours est couvert par notre Garantie Le-Bon-Prof
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As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

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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

🧰 Contenu détaillé :
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

5. Modélisation prédictive (ML supervisé)

- 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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I offer computer courses suitable for all levels.
The program may include:

Basics of computing and use of digital tools
Introduction to programming and computer logic
Web or software development concepts according to your needs
Practical exercises to progress at your own pace

The course is personalized according to your objectives to allow you to acquire solid computer skills.
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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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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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*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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Tous les sections ,Maths pour les élèves de bac, eco ,maths ,info , sciences
Maths pour les élèves de bac, eco ,maths ,info , sciences
Maths pour les élèves de bac, eco ,maths ,info , sciences
Maths pour les élèves de bac, eco ,maths ,info , sciences
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