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About RXNDATA 2019


AICTE Sponsored Short Term Course on “Data Analysis for Modelling of Chemical and Biochemical Reaction Systems Theory to Practice”.

Models of reaction systems are important for model-based process development and model-based control, optimization and monitoring during production. Hence, it is important to build   kinetic models that have good predictive ability from experimental data. Advances in measurement techniques and process identification methods allows us to build kinetic models for complex reaction systems. The main goal of this course is to introduce novel process identification techniques for analyzing spectral, calorimetric and concentration data for building kinetic models. The course is suitable for faculty who would like to teach and pursue research in areas of chemical reaction engineering, kinetic modelling, bio-reactor analysis and design. The course will be useful to design   curricula  for courses and topics in advanced reaction engineering.


 

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