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Explores inventory management principles, decision variables, costs, and models like EOQ and EPQ, including challenges in implementing optimal order quantities.
Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
Covers the Master programs in Computer Science, Data Science, Cybersecurity, Quantum Science & Engineering, and Neuro-X at EPFL, including admission criteria, program structures, and industry partnerships.
Explores inventory control basics, models, and cost calculations, emphasizing the impact of demand uncertainty and the trade-offs in inventory management.
