This course explores cutting-edge techniques in scalable data analytics, with a focus on algorithm design and data management strategies for complex and large-scale data types. Students will delve into the development and optimization of computation algorithms that support big data workloads, with special attention to spatial, spatio-temporal, multidimensional, and network data. Key topics include indexing structures, vector search methods, and learning-based approaches for data analysis. Through lectures, hands-on projects, and case studies, students will gain practical experience and a deep theoretical understanding of modern data systems, preparing them to tackle challenges in real-world, dataintensive environments.

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