facebook
favorite button
super instructor icon
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.
member since icon
Depuis décembre 2019
Professeur depuis décembre 2019
Accelerate Your Machine Learning Skills: Learn from a PhD graduate, academically trained with professional and academic experience
course price icon
Àpd 127.54 € /h
arrow icon
SERVICES
I can offer my assistance with Data Analysis, Data Science, Quantitative Methods, Analysis, Statistical Modelling, Forecast, Regression, Coding, Python, Matlab, Excel statistical software and packages such as Stata, R and Database languages such as SQL, Oracle, MySql and other Business-related subjects (with coding and programming if you are interested in it).
I understand that there are different kinds of learning methods, so as long as you can find your style and the appropriate method, I believe that you can get twice the result with half the effort. I have been told to be good at breaking down complex statistical and modelling concepts, explaining them in diagrams, and also relating them to their uses in our daily lives. I can help you to understand statistics, econometrics, linear regression, forecast modelling, statistical modelling, quantitative methods, as well as introducing you to the fast-growing field of Data Analysis and Data Science. I can teach how to use Python, Matlab, Stata, R, Sas, R, Excel, SQL, Oracle, MySql and many more.

- Statistics
- Machine Learning
- Deep Learning
- Probability
- Linear Regression
- Statistical Modelling
- Analysis
- Data Analysis/Science
- Modelling
- Forecasting model
- Time Series Analysis
- Quantitative Methods
- Python
- Matlab
- Stata
- R
- Sas
- Excel

EXPERIENCE AND EDUCATION
- PhD graduate in Finance, with 5 years of research experience and scientific contribution in the field of empirical asset pricing with focus on equity factor models, machine learning for asset pricing, regime switching models, sentiment analysis, and portfolio construction
- Freelance tutor and consultant in Finance, Data Science, Python, Statistics, and Econometrics for 3 years with 1500+ hours delivered to 150+ students and customers internationally
- Former financial analyst with 4 years of experience in design and realization of prototypes of several financial algorithms of a proprietary software for portfolio management, analysis, and consulting
- Experienced in written and oral communication to various audiences, from academic students to financial industry leaders and professionals through reviewing, editing, teaching, consulting, and oral presentations
- Former University Teaching Assistant, strong analytical background with extensive classroom and online teaching experience, MSc in Quantitative Finance, Bachelor of Science in Economics and Finance
- Excellent material available including slides, videos, tutorials and reading material. Extensive experience in research methods and software including Python, Jupyter notebook, Matlab, Sas, Stata, R, SQl/Oracle and Excel.
- I thoroughly enjoy helping others, as my patience and friendly nature makes it easier to be in an educational environment.
- I have learnt to adapt to different needs and learning styles according to the student, in order to optimise their success in turning their weaknesses into strengths.
- I'm patient, friendly and understanding. I am proficient in research and development and it’s my day to day work. I am a photography enthusiast and an insatiable learner.

GREETINGS
My goal is also to inspire further study that will lead to an interesting and successful career. If you need further information about myself or my services, please do not hesitate to contact me. Feel free to send me a message and I'd be happy to give you an informal consultation.

Thank you for looking at my profile and hope to hear from you soon,
Andrea
Lieu
location type icon
En ligne depuis Hong Kong
Présentation
EXPERIENCE AND EDUCATION
- PhD graduate, current research focuses on Machine Learning for Asset Pricing (Finance)
-2500+ hours of tutoring and consulting to 300+ students/clients
- Financial Management University Teaching Assistant.
- Academically trained to teach.
- Strong Analytical background with extensive classroom and online teaching experience.
- MSc in Quantitative Finance, Bachelor of Science in Economics and Finance.
- 4 years of experience as a Financial Analyst in a Fintech company.
- For the last 2.5 years I have tutored, in Hong Kong and online, Statistics, Mathematics, Data Analysis and Italian language, both with private face-to-face tutoring as well as small groups, with students ranging from 5 years old to adult learners.
- Excellent material available including slides, videos, tutorials and reading material. Extensive experience in research methods and software including Python, Jupyter notebook, Matlab, Sas, Stata, R, Sql/Oracle and Excel.
- I thoroughly enjoy helping others, as my patience and friendly nature makes it easier to be in an educational environment.
- I have learnt to adapt to different needs and learning styles according to the student, in order to optimise their success in turning their weaknesses into strengths.
- Since my academic background is Economics and Finance, I would be more than happy to assist you with substantive work too in that field.
- I'm patient, friendly and understanding. I am proficient in research and development and it’s my day to day work. I am a photography enthusiast and an insatiable learner.

I can offer my assistance with Finance, Financial Management, Corporate Finance, Investment and related subjects (with coding and programming if you are interested in it).

I can also offer my assistance with Statistics, Mathematics, Econometrics and Data Analysis/Science and other Business-related subjects (again with coding and programming if you are interested in it).

I am at your disposal for any help/assistance/consultation you would need for the writing of your thesis/dissertation/assignment/project/presentations/essay in Business, Management, Finance, Economics, Data Analysis, Data Science, Statistics and more. I can provide feedback post-reviewing as well as prior to editing should the person want to discuss how much editing/preferred form of editing needs to be described. Provide a valuable second set of eyes to your work. I also help with university courses.
Education
- PhD Graduate, current research focused in Machine Learning for Asset Pricing (Finance)
- MSc in Quantitative Finance, Bachelor of Science in Economics and Finance
Expérience / Qualifications
- 6 years PhD researcher, 3 years academic assistant, 4 years financial analyst
- for the last 2.5 years I have tutored, in Hong Kong and online, Statistics, Mathematics, Data Analysis, Finance, CQF, both with private face-to-face tutoring as well as small groups
Age
Enfants (7-12 ans)
Adolescents (13-17 ans)
Adultes (18-64 ans)
Seniors (65+ ans)
Niveau du Cours
Débutant
Intermédiaire
Avancé
Durée
60 minutes
Enseigné en
anglais
italien
Compétences
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
SERVICES
I can offer my assistance with Finance, Financial Management, Corporate Finance, Investment and related subjects (with coding and programming if you are interested in it).
I understand that there are different kinds of learning methods, so as long as you can find your style and the appropriate method, I believe that you can get twice the result with half the effort. I have been told to be good at breaking down complex scientific concepts, explaining them in diagrams, and also relating them to their uses in our daily lives. I can help you to understand Finance, Economics, Econometrics, Investments and Business-related subjects (Financial Management, Financial Analysis, Investments, Portfolio Theory and Management, Budgeting, Asset Pricing, Forecasting Models and many more) as well as introducing you to the fast-growing field of Data Analysis and Data Science.

- Asset Pricing
- Bond Pricing & Valuation
- Capital Allocation
- Capital Asset Pricing Models (CAPM)
- Corporate Finance
- Derivatives
- Econometrics
- Economics
- Game Theory
- Finance
- Financial Economic Analysis
- Financial Economics
- Financial Management
- Financial Market
- Financial Planning
- Financial Statement
- Forecasting Financial Series and Data
- Fundamental Financial Concepts
- International Finance
- Investment management
- Macroeconomic
- Mergers & Acquisitions
- Microeconomic
- Portfolio Theory and Management
- Pricing Model Theory
- Quantitative Methods
- Research Methodology
- Risk Returns

EXPERIENCE AND EDUCATION
- PhD graduate in Finance, with 5 years of research experience and scientific contribution in the field of empirical asset pricing with focus on equity factor models, machine learning for asset pricing, regime switching models, sentiment analysis, and portfolio construction
- Freelance tutor and consultant in Finance, Data Science, Python, Statistics, and Econometrics for 3 years with 1500+ hours delivered to 150+ students and customers internationally
- Former financial analyst with 4 years of experience in design and realization of prototypes of several financial algorithms of a proprietary software for portfolio management, analysis, and consulting
- Experienced in written and oral communication to various audiences, from academic students to financial industry leaders and professionals through reviewing, editing, teaching, consulting, and oral presentations
- Former University Teaching Assistant, strong analytical background with extensive classroom and online teaching experience, MSc in Quantitative Finance, Bachelor of Science in Economics and Finance
- Excellent material available including slides, videos, tutorials and reading material. Extensive experience in research methods and software including Python, Jupyter notebook, Matlab, Sas, Stata, R, SQl/Oracle and Excel.
- I thoroughly enjoy helping others, as my patience and friendly nature makes it easier to be in an educational environment.
- I have learnt to adapt to different needs and learning styles according to the student, in order to optimise their success in turning their weaknesses into strengths.
- I'm patient, friendly and understanding. I am proficient in research and development and it’s my day to day work. I am a photography enthusiast and an insatiable learner.

KEYWORDS
| Data Analysis | Derivatives | Econometrics | Economics | Excel | Finance | Corporate Finance | Financial Management | Financial Market | Financial Statement | Investment management | Macroeconomic | Matlab | Microeconomic | Pandas | Portfolio Theory and Management | Pricing Model Theory | Programming | Python | Quantitative Methods | Research Methodology | Securities Analysis | SQL | Statistical Modelling | Statistics | Time Value of Money | Valuation |

GREETINGS
If you need further information about myself or my services, please do not hesitate to contact me. Feel free to send me a message and I'd be happy to give you an informal consultation.

Thank you for looking at my profile and hope to hear from you soon,
Andrea
Lire la suite
SERVICES
I can offer my assistance with Economics, Econometrics, Microeconomics, Macroeconomics and related subjects (with coding and programming if you are interested in it).
I understand that there are different kinds of learning methods, so as long as you can find your style and the appropriate method, I believe that you can get twice the result with half the effort. I have been told to be good at breaking down complex scientific concepts, explaining them in diagrams, and also relating them to their uses in our daily lives. I can help you to understand Finance, Economics, Econometrics, Investments and Business-related subjects (Financial Management, Financial Analysis, Investments, Portfolio Theory and Management, Budgeting, Asset Pricing, Forecasting Models and many more) as well as introducing you to the fast-growing field of Data Analysis and Data Science.

- Macroeconomic
- Microeconomics
- International Economics
- Econometrics
- General Economics
- Economics
- Forecasting Financial Series and Data
- Fundamental Financial Concepts
- International Finance
- Portfolio Theory and Management
- Quantitative Methods
- Economic Methodology
- Economic Theory
- Political Economy
- Mathematical Economics

EXPERIENCE AND EDUCATION
- PhD graduate in Finance, with 5 years of research experience and scientific contribution in the field of empirical asset pricing with focus on equity factor models, machine learning for asset pricing, regime switching models, sentiment analysis, and portfolio construction
- Freelance tutor and consultant in Finance, Data Science, Python, Statistics, and Econometrics for 3 years with 1500+ hours delivered to 150+ students and customers internationally
- Former financial analyst with 4 years of experience in design and realization of prototypes of several financial algorithms of a proprietary software for portfolio management, analysis, and consulting
- Experienced in written and oral communication to various audiences, from academic students to financial industry leaders and professionals through reviewing, editing, teaching, consulting, and oral presentations
- Former University Teaching Assistant, strong analytical background with extensive classroom and online teaching experience, MSc in Quantitative Finance, Bachelor of Science in Economics and Finance
- Excellent material available including slides, videos, tutorials and reading material. Extensive experience in research methods and software including Python, Jupyter notebook, Matlab, Sas, Stata, R, SQl/Oracle and Excel.
- I thoroughly enjoy helping others, as my patience and friendly nature makes it easier to be in an educational environment.
- I have learnt to adapt to different needs and learning styles according to the student, in order to optimise their success in turning their weaknesses into strengths.
- I'm patient, friendly and understanding. I am proficient in research and development and it’s my day to day work. I am a photography enthusiast and an insatiable learner.


KEYWORDS
| Data Analysis | Derivatives | Econometrics | Economics | Excel | Finance | Corporate Finance | Financial Management | Financial Market | Financial Statement | Investment management | Macroeconomic | Matlab | Microeconomic | Pandas | Portfolio Theory and Management | Pricing Model Theory | Programming | Python | Quantitative Methods | Research Methodology | Securities Analysis | SQL | Statistical Modelling | Statistics | Time Value of Money | Valuation |

GREETINGS
If you need further information about myself or my services, please do not hesitate to contact me. Feel free to send me a message

Thank you for looking at my profile and hope to hear from you soon,
Andrea
Lire la suite
Voir plus
arrow icon
Cours Similaires
arrow icon previousarrow icon next
verified badge
Alain
Vous souhaitez comprendre le fonctionnement des bases de données relationnelles et apprendre à utiliser SQL, le langage le plus répandu pour gérer et interroger les données ? Ce cours est conçu pour vous fournir les connaissances essentielles et les compétences pratiques nécessaires pour tirer parti des bases de données relationnelles.

Dans un monde de plus en plus axé sur les données, savoir manipuler des bases de données est un atout essentiel. Que vous soyez étudiant, développeur débutant, analyste de données ou simplement curieux d'apprendre, ce cours vous donnera les bases nécessaires pour réussir.

Ce que vous allez apprendre :
Introduction aux bases de données relationnelles : Familiarisez-vous avec les concepts clés tels que les tables, les lignes, les colonnes, ainsi que les clés primaires et étrangères.
Langage SQL de base : Apprenez à rédiger des requêtes simples comme SELECT, INSERT, UPDATE et DELETE.
Filtrage et tri des données : Utilisez des clauses telles que WHERE, ORDER BY et LIMIT pour manipuler les résultats de vos requêtes.
Jointures (JOIN) : Connectez plusieurs tables pour obtenir des informations plus complètes et pertinentes.
Fonctions d'agrégation : Apprenez à calculer des statistiques comme COUNT, SUM, AVG, MIN et MAX.
Sous-requêtes et vues : Organisez vos requêtes de manière plus sophistiquée pour des analyses approfondies.
Pratiques recommandées : Améliorez vos requêtes pour optimiser les performances.

Pourquoi opter pour ce cours ?
Approche progressive : Des explications claires et détaillées pour assimiler les concepts sans se sentir perdu.
Pratique avant tout : Des exercices interactifs et des exemples concrets pour mettre en pratique immédiatement ce que vous apprenez.
Projets concrets : Participez à des projets pratiques pour renforcer vos compétences en SQL.
Flexibilité et confort : Apprenez depuis chez vous, sans caméra, en utilisant l'audio et le partage d'écran pour une expérience immersive.
Un atout professionnel : Maîtriser SQL est une compétence prisée dans de nombreux domaines, notamment en développement web, data science et analyse de données.

Ce cours s'adresse à plusieurs types de personnes :
- Aux débutants complets qui n'ont jamais utilisé de base de données relationnelle.
- Aux développeurs souhaitant ajouter SQL à leurs compétences.
- Aux analystes de données désireux d'améliorer leurs capacités d'interrogation et d'analyse.
- Aux étudiants en informatique qui souhaitent approfondir leurs connaissances en bases de données relationnelles.

Prérequis :
Aucun ! Ce cours est conçu pour les grands débutants.
Vous aurez simplement besoin de :

- Un ordinateur (Windows, Mac ou Linux).
- Un logiciel de gestion de base de données tel que MySQL ou SQLite (pas d’inquiétude, nous vous guiderons pour l'installation).
- La motivation d'apprendre et de pratiquer à travers des exercices concrets.

Rejoignez ce cours dès maintenant et apprenez les bases des bases de données relationnelles avec SQL ! Ne laissez pas passer cette chance de plonger dans un domaine fascinant où la gestion des données devient simple et efficace. Prêt à relever le défi ? Inscrivez-vous aujourd'hui et commencez votre aventure avec SQL !
verified badge
Raouf
Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
verified badge
Laroussi
Session 1: Revolutionizing your Scientific Writing with LaTeX & AI
Duration: 2 Hours | Level: Beginner | Tools: Overleaf + AI**

First Hour: Foundations and Cloud Environment (60 min)

1. Introduction to LaTeX Philosophy (15 min)

- The "WYSIWYM" concept:** Explain the difference between Word (*What You See Is What You Get*) and LaTeX (*What You See Is What You Mean*). Why content takes precedence over form.
- Key advantages:** Unrivaled typographic quality, automatic reference management, stability on long documents (theses), and free of charge.
- The structure of a file:** Distinction between the **preamble** (the brain: settings and packages) and the **body of the document** (the heart: text).

2. Immersion in Overleaf (25 min)

- Configuration:** Creation of an account and first project "Blank Project".
- Exploring the interface:** The file panel (left), the code editor (middle) and the PDF preview (right).
- Real-time collaboration:** How to share a project and leave comments (like on Google Docs).
- History and versions:** How to revert to a previous version in case of a compilation error.

3. Practical Workshop: My First Document (20 min)

* Writing basic commands: `\documentclass`, `\usepackage[french]{babel}`, `\title`, `\author`.
* Compilation of the document and observation of the result.
* Structuring: Use of `\section` and `\subsection`.

Second Hour: Mathematics and the Magic of AI (60 min)

4. The Power of Mathematics (20 min)

- Mathematical modes:** Difference between the text (`$...$`) and the centered block (`\[...\]`).
- Essential syntax:** Fractions `\frac{}{}`, exponents `^`, indices `_`, and roots `\sqrt{}`.
- Introduction to AMS packages: Why amsmath and amssymb are essential for professional rendering.

5. From hand to screen: AI at the service of LaTeX (30 min)

- Presentation of OCR tools:** Use of **Mathpix Snip** (the leader) or models like Gemini/ChatGPT to transform a photo into code.
- Concrete demonstration:
1. Take a picture of a complex handwritten formula (e.g., an integral with matrices).
2. Use AI to generate the corresponding LaTeX code.
3. Correction and insertion: Learn to check the AI-generated code before copying and pasting it into Overleaf.

6. Conclusion and Q&A (10 min)

* Summary of achievements.
* Resources for further exploration
* Definition of the exercise for the next session.
verified badge
Olivier
Je suis répétiteur, disponible 7j/7 par webcam et pour des déplacements à domicile ou dans un lieu public (cafés, bibliothèques, etc.) dans le canton de Genève et le Grand Genève (maximum 20 km).Pour vous aider au mieux, je maîtrise les matières suivantes :Analyse
Algèbre
Géométrie
Statistiques & Probabilités
Physique générale
Mécanique (physique)
Informatique générale & algorithmes
Programmation (langages de base + MATLAB)
Comptabilité
Analyse financière
Décryptage et utilisation de l’intelligence artificielle et des LLM (ChatGPT, Grok, Claude, etc.)

Que ce soit pour combler des lacunes, préparer un examen, approfondir un cours, réussir un projet universitaire ou simplement gagner en confiance en maths, physique, informatique ou finance, je m’adapte à votre niveau, à votre rythme et à vos objectifs. Mes points forts :
- Explications claires et pédagogiques, même pour les concepts les plus complexes
- Méthode personnalisée selon votre façon d’apprendre (visuel, logique, pratique...)
- Approche concrète avec de nombreux exemples et exercices adaptés
- Aide à la résolution de problèmes, préparation d’examens, rédaction de rapports ou projets
- Initiation ou perfectionnement à l’utilisation intelligente des IA (prompt engineering, automatisation, analyse de données avec IA, etc.)

Tous les niveaux sont les bienvenus : du soutien scolaire au niveau universitaire (bachelor/master) en passant par la formation continue. Tarifs fixes, pas de frais de déplacement, rien à acheter pour les cours. – premier cours d’essai possible. N’hésitez pas à me contacter par message pour me parler de votre situation et de vos besoins précis. Je vous répondrai rapidement afin que nous puissions organiser au mieux notre collaboration. Au plaisir de vous accompagner vers la réussite !
message icon
Contacter Andrea
repeat students icon
Le premier cours est couvert par notre Garantie Le-Bon-Prof
Cours Similaires
arrow icon previousarrow icon next
verified badge
Alain
Vous souhaitez comprendre le fonctionnement des bases de données relationnelles et apprendre à utiliser SQL, le langage le plus répandu pour gérer et interroger les données ? Ce cours est conçu pour vous fournir les connaissances essentielles et les compétences pratiques nécessaires pour tirer parti des bases de données relationnelles.

Dans un monde de plus en plus axé sur les données, savoir manipuler des bases de données est un atout essentiel. Que vous soyez étudiant, développeur débutant, analyste de données ou simplement curieux d'apprendre, ce cours vous donnera les bases nécessaires pour réussir.

Ce que vous allez apprendre :
Introduction aux bases de données relationnelles : Familiarisez-vous avec les concepts clés tels que les tables, les lignes, les colonnes, ainsi que les clés primaires et étrangères.
Langage SQL de base : Apprenez à rédiger des requêtes simples comme SELECT, INSERT, UPDATE et DELETE.
Filtrage et tri des données : Utilisez des clauses telles que WHERE, ORDER BY et LIMIT pour manipuler les résultats de vos requêtes.
Jointures (JOIN) : Connectez plusieurs tables pour obtenir des informations plus complètes et pertinentes.
Fonctions d'agrégation : Apprenez à calculer des statistiques comme COUNT, SUM, AVG, MIN et MAX.
Sous-requêtes et vues : Organisez vos requêtes de manière plus sophistiquée pour des analyses approfondies.
Pratiques recommandées : Améliorez vos requêtes pour optimiser les performances.

Pourquoi opter pour ce cours ?
Approche progressive : Des explications claires et détaillées pour assimiler les concepts sans se sentir perdu.
Pratique avant tout : Des exercices interactifs et des exemples concrets pour mettre en pratique immédiatement ce que vous apprenez.
Projets concrets : Participez à des projets pratiques pour renforcer vos compétences en SQL.
Flexibilité et confort : Apprenez depuis chez vous, sans caméra, en utilisant l'audio et le partage d'écran pour une expérience immersive.
Un atout professionnel : Maîtriser SQL est une compétence prisée dans de nombreux domaines, notamment en développement web, data science et analyse de données.

Ce cours s'adresse à plusieurs types de personnes :
- Aux débutants complets qui n'ont jamais utilisé de base de données relationnelle.
- Aux développeurs souhaitant ajouter SQL à leurs compétences.
- Aux analystes de données désireux d'améliorer leurs capacités d'interrogation et d'analyse.
- Aux étudiants en informatique qui souhaitent approfondir leurs connaissances en bases de données relationnelles.

Prérequis :
Aucun ! Ce cours est conçu pour les grands débutants.
Vous aurez simplement besoin de :

- Un ordinateur (Windows, Mac ou Linux).
- Un logiciel de gestion de base de données tel que MySQL ou SQLite (pas d’inquiétude, nous vous guiderons pour l'installation).
- La motivation d'apprendre et de pratiquer à travers des exercices concrets.

Rejoignez ce cours dès maintenant et apprenez les bases des bases de données relationnelles avec SQL ! Ne laissez pas passer cette chance de plonger dans un domaine fascinant où la gestion des données devient simple et efficace. Prêt à relever le défi ? Inscrivez-vous aujourd'hui et commencez votre aventure avec SQL !
verified badge
Raouf
Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
verified badge
Laroussi
Session 1: Revolutionizing your Scientific Writing with LaTeX & AI
Duration: 2 Hours | Level: Beginner | Tools: Overleaf + AI**

First Hour: Foundations and Cloud Environment (60 min)

1. Introduction to LaTeX Philosophy (15 min)

- The "WYSIWYM" concept:** Explain the difference between Word (*What You See Is What You Get*) and LaTeX (*What You See Is What You Mean*). Why content takes precedence over form.
- Key advantages:** Unrivaled typographic quality, automatic reference management, stability on long documents (theses), and free of charge.
- The structure of a file:** Distinction between the **preamble** (the brain: settings and packages) and the **body of the document** (the heart: text).

2. Immersion in Overleaf (25 min)

- Configuration:** Creation of an account and first project "Blank Project".
- Exploring the interface:** The file panel (left), the code editor (middle) and the PDF preview (right).
- Real-time collaboration:** How to share a project and leave comments (like on Google Docs).
- History and versions:** How to revert to a previous version in case of a compilation error.

3. Practical Workshop: My First Document (20 min)

* Writing basic commands: `\documentclass`, `\usepackage[french]{babel}`, `\title`, `\author`.
* Compilation of the document and observation of the result.
* Structuring: Use of `\section` and `\subsection`.

Second Hour: Mathematics and the Magic of AI (60 min)

4. The Power of Mathematics (20 min)

- Mathematical modes:** Difference between the text (`$...$`) and the centered block (`\[...\]`).
- Essential syntax:** Fractions `\frac{}{}`, exponents `^`, indices `_`, and roots `\sqrt{}`.
- Introduction to AMS packages: Why amsmath and amssymb are essential for professional rendering.

5. From hand to screen: AI at the service of LaTeX (30 min)

- Presentation of OCR tools:** Use of **Mathpix Snip** (the leader) or models like Gemini/ChatGPT to transform a photo into code.
- Concrete demonstration:
1. Take a picture of a complex handwritten formula (e.g., an integral with matrices).
2. Use AI to generate the corresponding LaTeX code.
3. Correction and insertion: Learn to check the AI-generated code before copying and pasting it into Overleaf.

6. Conclusion and Q&A (10 min)

* Summary of achievements.
* Resources for further exploration
* Definition of the exercise for the next session.
verified badge
Olivier
Je suis répétiteur, disponible 7j/7 par webcam et pour des déplacements à domicile ou dans un lieu public (cafés, bibliothèques, etc.) dans le canton de Genève et le Grand Genève (maximum 20 km).Pour vous aider au mieux, je maîtrise les matières suivantes :Analyse
Algèbre
Géométrie
Statistiques & Probabilités
Physique générale
Mécanique (physique)
Informatique générale & algorithmes
Programmation (langages de base + MATLAB)
Comptabilité
Analyse financière
Décryptage et utilisation de l’intelligence artificielle et des LLM (ChatGPT, Grok, Claude, etc.)

Que ce soit pour combler des lacunes, préparer un examen, approfondir un cours, réussir un projet universitaire ou simplement gagner en confiance en maths, physique, informatique ou finance, je m’adapte à votre niveau, à votre rythme et à vos objectifs. Mes points forts :
- Explications claires et pédagogiques, même pour les concepts les plus complexes
- Méthode personnalisée selon votre façon d’apprendre (visuel, logique, pratique...)
- Approche concrète avec de nombreux exemples et exercices adaptés
- Aide à la résolution de problèmes, préparation d’examens, rédaction de rapports ou projets
- Initiation ou perfectionnement à l’utilisation intelligente des IA (prompt engineering, automatisation, analyse de données avec IA, etc.)

Tous les niveaux sont les bienvenus : du soutien scolaire au niveau universitaire (bachelor/master) en passant par la formation continue. Tarifs fixes, pas de frais de déplacement, rien à acheter pour les cours. – premier cours d’essai possible. N’hésitez pas à me contacter par message pour me parler de votre situation et de vos besoins précis. Je vous répondrai rapidement afin que nous puissions organiser au mieux notre collaboration. Au plaisir de vous accompagner vers la réussite !
Garantie Le-Bon-Prof
favorite button
message icon
Contacter Andrea