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This class provides a strong foundation in Computer Science, Computer Programming, and Mathematics, covering the core concepts required to excel in technical and problem-solving domains. Students will first build logical and mathematical thinking, including basic arithmetic, algebra, discrete math concepts, and problem-solving techniques that are essential for programming and algorithms. The class then connects these ideas to Computer Science fundamentals such as algorithms, data structures, memory, and computational thinking. Practical programming skills are developed using C++ and Python, where students learn how to convert mathematical and logical ideas into efficient code. Topics include control flow, functions, recursion, data structures, and algorithmic problem solving. The class focuses on understanding concepts clearly, not rote learning. Real examples and step-by-step explanations help students see how math, programming, and computer science work together in real-world applications like software development, competitive programming, and AI systems. By the end of the class, students will be able to think logically, solve problems systematically, and implement solutions through clean and efficient code.

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  • Professeur depuis janvier 2026
  • Connecté à Google