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Computational Thinking is an open source MIT course repository that teaches computational problem-solving through the Julia programming language. The course integrates mathematics, computing, and real-world applications into a unified curriculum, making it suitable for students across science, engineering, and data-driven fields. It emphasizes learning how to translate problems into computational terms and developing algorithms and models to analyze them effectively. Using Julia, the course highlights both mathematical reasoning and practical coding, bridging the gap between theory and application. The materials include lectures, notebooks, exercises, and projects that encourage experimentation and discovery. By combining programming with conceptual depth, the repository aims to build skills that are transferable across disciplines and essential for modern scientific inquiry.
Features
- Course materials for learning computational problem-solving with Julia
- Integration of mathematics, computation, and real-world case studies
- Interactive notebooks and exercises for hands-on learning
- Emphasis on algorithms, modeling, and computational reasoning
- Designed for science, engineering, and data-oriented fields
- Freely available and open source for learners and educators
Project Samples
