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Covers exercises on Schur's lemma and the Jacobi identity in Quantum Field Theory.
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Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
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Explores synchronous logic circuits, state-based modeling, optimization techniques, and finite-state machine state minimization.
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Covers Advanced Quantum Field Theory with a focus on spinors, wave functions, rotations, and constraints.
Big Data Ecosystems: Technologies and Challenges
Covers the fundamentals of big data ecosystems, focusing on technologies, challenges, and practical exercises with Hadoop's HDFS.
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Explores software performance, covering metrics, latency, optimization techniques, and real-world examples like Grand Theft Auto.
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Explores spline interpolation, least-squares approximation, and error analysis in interpolation.
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