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5 course outlines found
1
CHEMMAT 759
: Industry 4.0 for Chemical Engineering2024 Semester Two (1245)
In-depth coverage of digitalisation and Industry 4.0 in the context of modern biological, chemical, food and materials processing industries. Topics include model building, digital models and digital twins using process simulators, scripting, open source software and data-driven analysis using machine learning concepts, and the application of these to modelling a virtual plant.
Prerequisite: ENGSCI 311
2
CHEMMAT 759
: Industry 4.0 for Chemical Engineering2023 Semester Two (1235)
In-depth coverage of digitalisation and Industry 4.0 in the context of modern biological, chemical, food and materials processing industries. Topics include model building, digital models and digital twins using process simulators, scripting, open source software and data-driven analysis using machine learning concepts, and the application of these to modelling a virtual plant.
Prerequisite: ENGSCI 311
3
CHEMMAT 759
: Industry 4.0 for Chemical Engineering2022 Semester Two (1225)
In-depth coverage of digitalisation and Industry 4.0 in the context of modern biological, chemical, food and materials processing industries. Topics include model building, digital models and digital twins using process simulators, scripting, open source software and data-driven analysis using machine learning concepts, and the application of these to modelling a virtual plant.
Prerequisite: ENGSCI 311
4
CHEMMAT 759
: Industry 4.0 for Chemical Engineering2021 Semester Two (1215)
In-depth coverage of digitalisation and Industry 4.0 in the context of modern biological, chemical, food and materials processing industries. Topics include model building, digital models and digital twins using process simulators, scripting, open source software and data-driven analysis using machine learning concepts, and the application of these to modelling a virtual plant.
Prerequisite: ENGSCI 311
5
CHEMMAT 759
: Industry 4.0 for Chemical Engineering2025 Semester Two (1255)
In-depth coverage of digitalisation and Industry 4.0 in the context of modern biological, chemical, food and materials processing industries. Topics include model building, digital models and digital twins using process simulators, scripting, open source software and data-driven analysis using machine learning concepts, and the application of these to modelling a virtual plant.
Prerequisite: ENGSCI 311
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