Teaching data-analytics through process design

Computer Aided Chemical Engineering 2018

F. Boukouvala J. Zhai SH Kim

Data-analytics is becoming a very influential tool for decision-making today both in industry and academia. The incorporation of data-driven concepts in the core chemical engineering curriculum would be very beneficial to our graduates, making them competitive in today’s market. The main objective of this work is to develop tools and case studies that: (a) increase students’ understanding and appreciation of data for decision making, (b) introduce students to basic data analytics and machine learning methods, (c) introduce students to basic data visualization tools, and (d) exhibit that the interactions between rigorous simulations and data could lead to improved solutions. 

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