CHE-5434: Computational and Data Sciences for Process Engineering

Description: Data curation and preprocessing, handling time series data, design of experiments, machine learning algorithms, optimization, design rules and analysis of physics-based process models in chemical sciences and engineering domains. Case studies on industrial problems in process design, optimization, control, operations, supply chain, scheduling, planning, and monitoring.

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Course Hours: 3 credits

Prerequisites: CHE-5414 and CHE-5404

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CHE-5434: Computational and Data Sciences for Process Engineering

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