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Young student in License 3 in computer science at the Faculty of Créteil, I propose to give courses in computer office automation, namely Microsoft Word, Microsoft Excel, Microsoft Power Point, and Computer Communication with software Adobe and Microsoft. Office Automation: As for desktop computing, the student will have the basics of applications, if necessary, then it will evolve from an intermediate level to an advanced level with a mastery of office tools for professional use. - With Microsoft Word, the student will be able to layout a document containing images, shapes, tables and graphs; Manage advanced formatting and be able to connect the Word document to a database to manage mailings. - With Microsoft Excel, the student will be able to manipulate the basic functions, namely digital operations, format tables, insert graphics and connect tables, etc. The idea of this course is to change the student from a beginner level to an intermediate level. - With Microsoft Power Point, the student will be able to prepare successful good presentations in design and special effects, use multimedia content in presentations. If the student is strong enough, he will be introduced to the use of the formidable tool, in terms of creation of interactive animation, which is Adobe Flash, to make outstanding presentations. Communication Computer Graphics: For graphic design classes, students will have a good introduction to Adobe Photoshop Tools, Adobe Illustrator, and Microsoft Expression Design, which is relatively similar to Adobe Illustrator, but much easier than Adobe Illustrator. - With Adobe Illustrator and Microsoft Expression Design, students will learn how to use the various tools for creating shapes and objects, learn how to trace and vector images, how to use different color profiles and different special effects, etc. This course is designed to bring a student from a beginner level to an intermediate level (or rather advanced, but not very thorough) - With Adobe Photoshop, the student will learn to use the tools for retouching images and creations, understand the concept of layers and understand how to manage color profiles in the different objects in the workspace. This course is really designed for beginners.

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23Students

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work. Topics include: Python fundamentals through a finance lens (data structures, functions, control flow). Working with financial data and datasets. Performance benchmarking and writing efficient code. Applying concepts from Hilpisch's Python for Finance.

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12Students

You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities. The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking. The topics in our lesson include: • Propositional Logic: Logical operators; Precedence rules; Logical equivalence; Implications in English; Exclusive or; Universal operators; Classifying propositions • Boolean Algebra: Substitution laws • Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition. • Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures; • Deduction: Valid arguments and proofs; Proofs in predicate logic If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

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6Students

If you’ve ever felt that science and math are difficult, it’s probably because no one showed you how to think like a problem solver. In my classes, you’ll learn not just formulas or code but how to truly understand concepts, apply them, and build strong logical intuition. I teach: • 🔢 Mathematics: From algebra and calculus to applied problem-solving for real-world use. • 💻 Computer Science: Coding fundamentals (Python, C++), algorithms, and logical thinking for beginners and intermediate learners. • ⚛️ Physics: Mechanics, thermodynamics, and practical examples that make abstract ideas simple and visual. As a Software Engineer and Master’s student in Engineering at Nagoya University, I bring both academic knowledge and hands-on experience from real projects. My teaching approach is interactive, visual, and deeply focused on understanding over memorization. Let’s turn complex problems into clear, step-by-step insights — and make learning something you genuinely enjoy.

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6Students

Understanding algorithms is essential for anyone pursuing computer science or programming. In this course, I provide a structured approach to learning algorithms—from fundamental concepts like sorting and searching to advanced techniques such as dynamic programming and graph theory. Whether you're preparing for exams, coding interviews, or aiming to improve your problem-solving skills, this course is designed to build strong algorithmic thinking. Through practical examples and step-by-step explanations, I help students master the logic and techniques needed to write efficient and elegant code.