This course introduces the fundamental concepts of vector and point data structures in a computational design context. It explains how real-world information can be translated into vector data, which represents magnitude and direction, and raster data, which is like a digital image. The importance of coordinate systems in interpreting these numerical data points is stressed, and different measurement systems like Euclidean and Manhattan distances are discussed. The lecture further explores basic vector operations such as scaling, addition, subtraction, and dot and cross products, highlighting how these operations are crucial for understanding the relationships between vectors and solving geometric problems like calculating angles, finding midpoints, and performing projections. Finally, the concept of transformations using matrices to manipulate geometric data is briefly touched upon, emphasizing how these core principles underpin much of computational design.https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

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