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1 desktop publishing teacher in Woluwe‑Saint‑Lambert

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1 desktop publishing teacher in Woluwe‑Saint‑Lambert

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Trusted teacher: 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.
Computer science · Desktop publishing · Math
Many students today use AI tools like ChatGPT, but often in an unsafe or improvised way. Legitimate questions arise: Is it allowed? How can mistakes be avoided? How can AI be used without losing control of one's own thinking? This course isn't about shortcuts or "machine-done work." It focuses on understanding AI as a tool and learning to use it consciously and responsibly. We work with concrete examples from the university setting and show how AI can support learning without compromising academic integrity. One of the course's central themes is AI as a research tool. We'll explore how to define topics, formulate effective research questions, and structure a project from the outset. AI can help gain an overview and organize ideas, but we'll also clearly analyze its limitations and the need for critical self-reflection. From there, we move on to academic writing. From developing outlines and arguments to improving style and clarity, AI can be a valuable tool. We demonstrate how to work with drafts, detect inconsistencies, and avoid common errors that often cause problems in academia. Another section is dedicated to learning with AI. Explaining complex texts, clarifying concepts, reviewing content, and checking one's own understanding are especially valuable uses if the right questions are asked. The goal is to use AI actively, not passively. Finally, we use AI as an intellectual sparring partner. Not as a substitute for our own thinking, but as an interlocutor that helps to compare arguments, raise objections, and explore other perspectives. This is where AI's greatest real value often lies: thinking better, not thinking less. The course is designed for students of any discipline. No prior knowledge is required. The goal is to gain confidence in using AI and learn how to integrate it productively and responsibly into university studies.
Computer science · Desktop publishing
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