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Since October 2018
Instructor since October 2018
Translated by GoogleSee original
Algorithms Course - Desktop/Web Application Programming - SQL
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From 39.69 C$ /h
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This course is accessible for all skill levels, from those who want to learn programming to those who are already familiar with it.

Therefore, the purpose of the course will depend primarily on your knowledge and what you wish to learn.

Obviously, if you are a complete beginner, you will be given an algorithm course to familiarize yourself with programming methods.
These algorithm courses will be complemented by exercises in Pascal, Python or Java (or other programming language according to your preference) where other concepts will appear as we go along (procedures, object-oriented, ...).
SQL courses will also be offered for intermediate and/or advanced level students.

The idea of this course is to help you understand concepts either through theory, through kata, or both.

The most advanced courses will focus on frameworks such as Vaadin, JavaFX, ...

In short, feel free to contact me for further information and/or to provide me with the information that will allow me to offer you a tailor-made course that meets your needs.
I remain available for an initial contact to assess your level or knowledge if you need it.
Extra information
Having your own machine (on which you can install software).
Location
location type icon
Online from Belgium
About Me
I am a dynamic person, eager for knowledge but also to share my knowledge.

In this regard, I think Apprentus will teach us both a lot.

I generally try to help people by guiding them towards a solution. My goal is not to provide the answers, but rather to lead you there.
Education
- I am currently pursuing a bachelor's degree in Management Information Systems to obtain the diploma that goes hand in hand with my role and am currently in my final year.
- Playground Training (Video Games) in 2013
- Java training in 2012
- Training in mathematics and programming in 2012
Experience / Qualifications
Developer within an R&D unit since 2015.
My goal is to develop web applications focused on real-time event processing. Primarily in Java, but also in other web languages and/or frameworks.
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
120 minutes
The class is taught in
French
English
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
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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Contact Julien
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renewable energy (wind, PV)
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This course is for anyone who wants to:

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📚 On the program:

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Functions

Data structures

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Clear explanations to understand the programming logic

Targeted exercises adapted to your level

Concrete projects to create your own applications

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Helping you understand the logic behind the code

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Create your own projects in Python and gain independence
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* **Artificial intelligence is not a "movie robot":** The fundamental difference between science fiction and practical reality.
* **How it works (simply):** Imagine a "giant library"; AI has read billions of books and uses them to predict the completion of a sentence or create a new image.
* **Where do we use it now?** The spell checker, Netflix and YouTube suggestions, GPS navigation, and voice assistants such as Siri and Alexa.

---

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* **Interacting with artificial intelligence (ChatGPT, Cloud, Gemini):**
* Writing formal emails or complex letters.
* Summarizing long articles or huge documents.
* Plan travel itineraries or create food recipes from ingredients available in the refrigerator.


* **Creativity and Memory:**
* Create creative images for greeting cards (via Midjourney or DALL-E).
Restoring and coloring old family photos.

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* **Context Style:** Why is the phrase "Give me a cake recipe" less effective than "I have a gluten allergy and I'm having 4 people, give me a simple chocolate cake recipe".
* **Role-taking:** Learn to ask the artificial intelligence to "speak like a tourism expert" or "answer me like a specialized agricultural engineer."

4: Precautions and Critical Thinking (A Survival Guide)**

Digital hallucinations:** Understand that artificial intelligence may confidently present false information (never rely on it for medical or legal advice without verification).
Privacy protection
Do not share sensitive data (ID numbers, passwords, bank details).
Be aware that everything you write may be used to train systems in the future.

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How to identify fake photos or videos (examine hand details, strange reflections, or metallic sound).
* The golden rule: Verify by cross-referencing different sources.

5: Ethics and Impact (A Future Perspective)**

Copyright: Who owns the image created by artificial intelligence?
Environmental impact: Water and energy consumption in large data centers.
The future: Will artificial intelligence replace us or will it be an assistant to us?

Additional tip:** Since you are targeting the Gulf region, it is preferable to use terms such as "Digital Transformation" and "Innovation" at the beginning of your presentation, as they are very catchy words for decision-makers there.
verified badge
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This class provides a structured and personalized pathway for beginners, school and university students, researchers, engineers, professionals, career changers, and adult learners. Depending on your goals, we can focus on Python programming, computational problem solving, automation, machine learning, artificial intelligence, or a coherent progression connecting them.

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• Variables, data types, operators, and expressions
• Input, output, and program flow
• Conditional statements and decision making
• For loops and while loops
• Functions, parameters, return values, and scope
• Strings and text processing
• Lists, tuples, sets, and dictionaries
• File handling and data input/output
• Error handling and exceptions
• Modules, packages, and reusable code
• Object-oriented programming
• Algorithms and computational problem solving
• Debugging and systematic error correction
• Code organization, readability, and good programming practices

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• matplotlib for visualization
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• Decision trees and rule-based approaches
• Feature selection and data preparation
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• Predictive modelling and data mining
• Neural-network foundations

ARTIFICIAL INTELLIGENCE & INTELLIGENT SYSTEMS
• Foundations and major branches of Artificial Intelligence
• How intelligent systems represent, classify, predict, and support decisions
• Knowledge representation concepts
• Ontologies and structured knowledge
• Rule-based reasoning and expert-system foundations
• Intelligent decision-support systems
• Generative AI and large language model concepts
• Prompt design and effective AI-assisted workflows
• AI limitations and hallucinations
• Bias, privacy, ethics, and responsible AI
• Applications in engineering, research, business, education, and professional decision making

Depending on your goals, practical work may involve Python, NumPy, pandas, matplotlib, relevant machine-learning libraries, Weka, SPSS Modeler, structured datasets, or modern generative-AI tools.

My teaching approach follows a clear progression:
understand the problem → design the logic → represent and prepare the data → write or select the method → test it → evaluate the output → debug or improve it → interpret the result → apply it responsibly

I do not simply provide finished code, demonstrate isolated commands, or recommend an AI model because it is popular. I help you understand why a method works, what assumptions it makes, when it should be used, how to evaluate its results, where it may fail, and how to improve the solution.

We can work with your course syllabus, programming exercises, existing code, error messages, dataset, research problem, AI project, automation task, engineering application, model output, or professional use case.

Whether you are writing your first Python program, preparing for a university course, debugging a project, automating a professional task, learning machine learning, or exploring advanced AI applications, I will adapt the sessions to your level, objectives, and pace.

My goal is to help you become an independent computational problem solver who can understand, build, evaluate, and apply intelligent solutions—not merely copy code or use AI tools without understanding them.
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My courses are aimed at students of all levels and objectives: refresher courses, preparation for tests, exams or in-depth study of concepts.

Each session is tailored to the student's needs. We begin by identifying difficulties, then review the concepts covered in the lesson before applying them through exercises of increasing difficulty. I place great importance on understanding concepts and developing reasoning skills rather than rote learning.

The courses take place exclusively online, which allows for efficient work on the course material, exercises and corrections in real time.

As an engineering student at ENSIMAG and a former student of MPSI-MP preparatory classes, I leverage my strong background in mathematics and computer science to guide students with rigor, patience, and effective teaching methods. My goal is to help them make lasting progress, gain confidence, and become independent in their work.
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Contact Julien