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4.0 Shades of Digitalisation for the Chemical and Process Industries 

  • Offered byFutureLearn

4.0 Shades of Digitalisation for the Chemical and Process Industries
 at 
FutureLearn 
Overview

Make the transition to Industry 4.0 as you learn how to streamline chemical and process engineer jobs with digital technologies.

Duration

4 weeks

Total fee

₹2,763

Mode of learning

Online

Credential

Certificate

4.0 Shades of Digitalisation for the Chemical and Process Industries
 at 
FutureLearn 
Highlights

  • Earn a certificate upon completion
Details Icon

4.0 Shades of Digitalisation for the Chemical and Process Industries
 at 
FutureLearn 
Course details

Skills you will learn
Manufacturing TechnologyRegressionStatistics
More about this course
  • On this four-week course from the University of Padova, with the collaboration of several Italian universities, you’ll explore digitalisation in the context of chemical and process industries
  • You’ll gain practical skills in implementing key data-driven techniques within an Industry 4.0 paradigm, and obtain knowledge to understand the change of paradigm occurring in the industrial sectors
  • You’ll start by exploring the importance of data digitalisation in the process industry
  • Through this exploration, you’ll discover machine learning methods and multivariate statistics analysis that will help you analyse your data with efficiency and accuracy
  • This knowledge will help you extract reliable and accurate information about your industry processes
  • Taking your skills further, you’ll unpack the uses of artificial neural networks and real-time optimisation to help you exploit data for advanced modelling
  • This understanding will help you solve optimisation problems and further streamline your processes
Read more

4.0 Shades of Digitalisation for the Chemical and Process Industries
 at 
FutureLearn 
Curriculum

Machine learning and multivariate statistics

Introduction: Let’s get started

Reduction of data dimensions

Putting it all together

Regression, classification, and data reconciliation

Regression and PLS

Data reconciliation

Putting it all together

Artificial neural networks and real-time optimization

Artificial Networks

Real-time optimization

Practicing what we know

Putting it all together

Model predictive control

Introduction to Process Control

System identification

Model Predictive Control

Putting it all together

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4.0 Shades of Digitalisation for the Chemical and Process Industries
 at 
FutureLearn 

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