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Depuis juin 2020
Professeur depuis juin 2020
Computer Science software architecture, Data science
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Àpd 60 € /h
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Some students will know how to use technology tools (such as texting) better than their teachers. But to really understand computing, including the science behind it and the ways to manipulate it, students need to take classes related to computer science taught by certified teachers who can express themselves well and who may have worked in the computing field before they became educators.

In addition to explaining the fundamentals of computing, these teachers will be showing their students the merits of problem-solving, collaboration, and creativity.

It’s a challenging and rewarding profession. Computer science teachers are always looking forward. They keep their eyes on the latest advances, the newest tools and breakthroughs. And they always keep the future in mind while teaching because, if they do their job right, some of their students may be inspired to become tomorrow’s engineers, system administrators, and innovator.
Lieu
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En ligne depuis Pakistan
Présentation
Understanding the science behind computer science, or computing, can tell us about our past and our future. From abacuses and calculators to mainframes, laptops, and smart phones, computing has transformed our world and makes our lives easier in many ways.
I am here to help you by answering your Questions.
Education
Matriculation in science (Chemistry,Maths,Biology,physics)
Intermediate in Pre Engineering(Maths)
Bachelors in software Engineering
Master in Software Engineering
Expérience / Qualifications
Teach computer science in Scholar science collage
Teach Computer science in kip evening coaching
front end web developer at Iplex software house
Age
Enfants en bas âge (0-3 ans)
Enfants (4-6 ans)
Enfants (7-12 ans)
Adolescents (13-17 ans)
Niveau du Cours
Débutant
Intermédiaire
Avancé
Durée
60 minutes
Enseigné en
anglais
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
I have done Masters in computer science, I can teach you in a very friendly environment.
A student majoring in computer science must excel in the use of computers, physical sciences, mathematics and English. This student is independent, self-motivated, able to concentrate, and able to handle frustration effectively.
The required and elective courses you would take for Computer Science majors vary considerably among institutions. Courses are listed here that are illustrative of the breadth of topics you are likely to experience were you to major in this field.

Algorithms
Artificial Intelligence
Calculus
Computer Architecture
Computer Science Theory
Computer Theory
Data Logic
Data Management
Design Physics
Device Utilization
Electronic Design
Files and Databases
Information Management
Logic Design
Machine Language
Network Fundamentals
Operating Systems
Programming Languages
Statistics
Lire la suite
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Contacter Ifrah
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Le premier cours est couvert par notre Garantie Le-Bon-Prof
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- 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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- Qu’est-ce que l’analyse de données ?

- Typologie des données (quantitatives, qualitatives)

- Méthodologie globale

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- Technology Fluency Check
- The "Why" & The "Fear":
- SEN & Learning Style Review

2. Diagnostic & assessment
- The AI Myth Buster Test
- Prompt Engineering Trial
- The learning process
- Ethical Scenarios

3. Deliverable & Roadmap

3-Phase Roadmap: Upon completion, you will receive a Personalized Learning Roadmap detailing exactly:
The 3-5 priority AI concepts the student should master.
The safest and most age-appropriate AI tools for their needs.
A recommended coaching plan to build their confidence, creativity, and critical thinking.

Precise and specialized educational plan that guarantees your child will not only understand AI, but learn how to master it ethically and independently.
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These courses are part of a structured and progressive training in Object-Oriented Programming (OOP) with JavaScript, designed for beginner or intermediate developers who want to understand in depth how the language works, write clearer, more maintainable code and prepare themselves calmly for modern frameworks like React ⚛️.

Object-Oriented Programming is often perceived as complex or abstract.

My goal is simple: to make it logical, concrete, and immediately applicable.

🎯 Training Objectives

Upon completion of this training, you will be able to:

Understanding what Object-Oriented Programming really is (and when to use it)
Create and manipulate objects in JavaScript in a clean and efficient way
Use ES6 classes, constructors, and methods with confidence
Mastering this, the prototype, and the instantiation logic
Apply encapsulation, inheritance, and polymorphism without confusion
Avoiding common mistakes made by OOP beginners
Structure your JavaScript code like a professional developer

📖 Training Plan – Object-Oriented Programming in JavaScript
1. Introduction to Object-Oriented Programming 🧠
Understanding the concept, objectives and benefits of OOP.
2. Procedural Programming vs. OOP
Why unstructured code quickly becomes unmanageable.
3. Objects in JavaScript
Properties, methods and representation of the real world.
4. The keyword this
Understanding the execution context (often poorly understood).
5. Limitations of simple objects
Why duplicating code is a bad idea.
6. Constructive functions
Create multiple objects from the same model.
7. The keyword new
What it's actually doing under the hood.
8. The prototype
Sharing methods and memory optimization.
9. ES6 Classes
Modern syntax and best practices.
10. The builder
Proper initialization of objects.
11. Data Encapsulation
Protect the internal state of objects.
12. Inheritance between classes
Reusing code intelligently.
13. The keyword super
Communication between parent and child in the classroom.
14. Polymorphism
The same behavior, several forms.
15. Composition vs. Inheritance
Choosing the right architecture.
16. Best practices in OOP
Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
Pitfalls to absolutely avoid.
18. Guided practical exercise
Creation of a concrete class (product, user, etc.).
19. Assessment Quiz (Multiple Choice Questions)
To validate the actual understanding of the concepts.

🛠️ Teaching method: Understand before writing

This training program is based on a progressive and pragmatic approach:
Clear and illustrated explanations
Concrete examples from real projects
Simple but effective exercises
Constant questioning to avoid rote learning
Adaptation to the learner's level and pace
Here, we don't "recite OOP" — we understand it.

🚀 Learner's result

At the end of the training, you will not only know how to write a JavaScript class.
You will know:

1- Why does it exist?
2- When to use it
3- and when not to use it

You will leave with:
a solid understanding of OOP
a cleaner and more professional code
an ideal foundation for learning React, Node.js or any other modern framework
Garantie Le-Bon-Prof
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Contacter Ifrah