Learn Algorithms and Computer Programming

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The term computing is a neologism proposed in 1962 by Philippe Dreyfus to characterize the automatic processing of information. So, IT deals with two complementary aspects: the immaterial programs (software, software) which describe a processing to be carried out and the machines (hardware, hardware) which execute this processing.

The objective of this course is to teach you to design an ordered sequence of instructions which indicates the procedure to follow for
to solve a series of equivalent problems, as well as to characterize their validity, their robustness, their reusability, their complexity or their efficiency in a programming language understandable by the computer.

As Abelson et al. said, each computer program is a model, forged by the mind, of a real or imaginary process. These processes, which arise from human experience and thought, are innumerable and complex in their details. At any time, they can only be partially understood. They are rarely modeled in a satisfactory way in our computer programs. Although our programs are sets
symbols carefully carved, mosaics of intertwined functions, they never stop evolving. We modify them as our perception of the model deepens, expands and generalizes, until reaching a metastable equilibrium at the borders of another possible modeling of the problem. The joyful intoxication that accompanies computer programming comes from the continual back and forth between the human mind and the computer, the mechanisms expressed by programs and the explosion of new visions that they bring. If art translates our dreams, the computer realizes them in the form of programs.

Extra information

Have a computer and basic knowledge of information representation

Location

Online from France

About Me

I am a doctoral researcher at the University of Artois, EA 3926, F-62400 Bethune, France. Holder of a Master 2 Basic Computer Science, Computer Mathematics License, Baccalaureate Series C Mathematics and Physical Sciences.

My constructivism and socio-constructivist methodology consists in supporting the student towards knowledge, taking into account the situation of the student and his global environment which necessarily impacts on the approach and on the capacities of the learner. Personalized demonstration of the answer according to the difficulty identified in the student from the question asked.

Education

Master 2 Basic Computer Science in 2017, Bachelor's Degree in Computer Mathematics in 2013, Baccalaureate Series C Mathematics and Physical Sciences in 2010 at the University of Dschang

Experience / Qualifications

I am a Researcher, Temporary Teacher, Computer Monitor, Webmaster and Full-stack developer.

Programming languages: Android, Java, J2ee, JSP, Shell, C / C ++, C #, Windev, CTL, HTML, jQuery, JavaScript, Ajax, CMS (Joomla, Wordpress), PHP, CSS, VBS, ERP, VoIP, Python

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

French

English

Skills

Computer science

Computer programming

Availability of a typical week

(GMT -05:00)

New York

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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With over 12 years of tutoring experience, I have successfully guided more than 50 students worldwide to achieve distinction in various fields. Consistent results are my priority, and I strive for excellence in all aspects of my teaching.

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What You’ll Learn:
🐍 Python Basics:

Syntax, variables, data types, and operators
Input/output, loops (for, while), and conditionals (if-else)

📚 Core Programming Concepts:

Functions, modules, and error handling
Lists, tuples, dictionaries, and sets

🎮 Real-World Applications:

File handling (read/write files)
Web scraping (intro to BeautifulSoup/Requests)
Basic game development (with Pygame)

🔢 Next-Level Skills (Towards "Hero" Level):

Object-Oriented Programming (OOP) – Classes & Objects
Working with APIs (fetching data from the web
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✓ 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
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Most AI courses for kids teach "here's the tool, use it." I teach how to think about AI.
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For curious kids asking "How does ChatGPT actually know things?"

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Production Implementation: Rate limiting, cost management, error handling, security
Real-World Deployment: Deploy AI features to AWS with proper monitoring and logging

Technologies:
OpenAI API (ChatGPT-4)
React/Next.js frontend integration
Node.js/NestJS backend
Secure API key management
Cost optimization (don't waste money on API calls)

Perfect For:
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Freelancers: Offer AI integration services
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Entrepreneurs: Add AI features to your product without hiring an AI engineer

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AI chatbot for your website (customer support, FAQ assistant)
Content generation tool (blog posts, product descriptions, social media)
Text analysis features (summarization, sentiment, keyword extraction)
Custom AI assistant for your specific use case

Real Examples:

E-commerce: AI product description generator
Real estate: AI property listing writer
Marketing: AI social media content creator
Education: AI study assistant

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Working code you can deploy immediately
Cost management strategies (API calls can get expensive!)
Error handling and fallback strategies
Production deployment checklist

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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.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

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✅ Cybersecurity: Ethical hacking, data protection, network security
✅ Digital Literacy: ICT applications, online safety, cloud computing
✅ Data Science & AI: Data analysis, machine learning fundamentals
✅ Web Development: HTML, CSS, JavaScript

Curriculum & Pedagogical Experience:
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🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development.
🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications.

Professional Impact:
📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams.
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🔧 What You Will Learn:

The basics of programming: variables, loops, conditions, and procedures.

How to record and edit simple macros.

Automating tasks across cells, worksheets, workbooks, and named ranges.

Creating interactive forms (UserForms) for data entry and display.

Automating repetitive tasks like formatting, reporting, and even sending emails.

Exploring advanced tools: events, error handling, and integration with other applications.

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Students, employees, or freelancers who work with Excel and want to save time.

Professionals looking to build custom tools tailored to their workflow.

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🛠️ 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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Expert Programming & Web Development Tutor | Python, Java, C#, C++, Frontend, Backend, Databases, AI & Data Science

💻 Programming Languages:
✔ Programming: C, C++, Java, Python, PHP, JavaScript, HTML
✔ Mathematics: Linear Algebra, Calculus, Discrete Math, Probability, Optimization
✔ Object-Oriented Programming (OOP): Encapsulation, Polymorphism, Inheritance, Abstraction, Design Patterns
✔ Machine Learning: Neural Networks, Regression, Classification, Clustering, Reinforcement Learning
✔ Data Structures & Algorithms (DSA): Trees, Graphs, Linked Lists, Stacks, Queues, Priority Queues, Hash Tables, Tries, Heaps, Disjoint Sets, Sorting Algorithms (Merge Sort, Quick Sort, Heap Sort, etc.), Searching Algorithms (Binary Search, Linear Search), Dynamic Programming, Greedy Algorithms, Divide & Conquer, Backtracking, Topological Sort, Graph Traversals (BFS, DFS), Minimum Spanning Tree (Prim’s, Kruskal’s), Shortest Path Algorithms (Dijkstra’s, Bellman-Ford, Floyd-Warshall), String Algorithms (KMP, Rabin-Karp, Z-Algorithm), and more!
✔ Assignments, Homework, Labs, Projects, Exams, or Quizzes

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Frontend – HTML, CSS, JavaScript, React, Laravel
Backend – .NET, PHP, Flask, Django

🗄️ Databases:
SQL, MongoDB

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Python for Data Science, Machine Learning, Pandas, NumPy, Data Visualization

✅ What You’ll Get:
Personalized one-on-one sessions
Clear explanations with real-world examples
Hands-on coding practice
Help with assignments, projects, and interview prep
A focus on understanding, not memorizing
No matter your level, I make learning tech engaging and effective. Let’s turn your goals into achievements—one line of code at a time!

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