Online Course: Using AI for Manufacturing Quality Monitoring
| Type | Short Programmes (for PhD Students & Professionals), e-learning |
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| Nominal duration | 2 days |
| Study language | English |
| Awards | (EITM participation certificate) |
| Application fee | €100 one-time • Main fee: 100€ IMPORTANT: The APPLICATION FEE is not reimbursable |
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| Entry qualification | Master of Science • You are either a Ph.D. student, researcher, or professional in Manufacturing topics interested in deepening their knowledge of manufacturing • The program is in English and you must understand, read and write English at a proficient level |
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| Territory requirements | Applications are accepted from the following territories (based on citizenship): World. |
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| Language requirements | English |
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| More information |
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Overview
Online Course: Using AI for Manufacturing Quality Monitoring (14th &15th December)
The short course will be organized by CTU (Czech Technical University), which is one of our partner universities.
The following topics will be delivered by experts in the course
• Machining operations, predictive quality control, and AI in industrial metrology
• Harnessing AI for enhanced productivity
Please find more details and learning outcomes in the Program Structure.
3 speakers will deliver the online course
• Štěpán Fiala: Dr. Štěpán Fiala completed postgraduate studies at the Czech Technical University in Prague, Faculty of Mechanical Engineering, Department of Production Machines and Equipment. Now, at the mentioned Institute, he works on machine communication between devices, SCADA systems and IOT hardware. His particular focus is the control of hydrostatic servo drives.
• Jana Polášek Filová: Metrology department of ŠKODA AUTO company.
• Petr Petráček
Participation fees
• Main fee: 100€
• 50% discount for students from RIS* countries and women: 50€
• EITM Doctoral School (DS) Students: Free
For EITM DS students, this short course will be part of their I&E Program in year 1.
*Please find the Regional Innovation Scheme (RIS) countries here.
Programme structure
Topics and learning outcomes:
1. Machining operations, predictive quality control, and AI in industrial metrology
This session will provide students with an introduction to monitoring manufacturing processes and the quality control chain. The specific focus is on machining operations and subsequent quality control. The idea of predictive quality control will be explained and presented in the industrial example. Since this approach is based on AI, the webinar participant will get an introduction to AI for industrial metrology, including practical examples solved by participants on their own under the supervision of skilled scholars. The webinar will close with the final assessment of the participant’s knowledge.
2. Harnessing AI for enhanced productivity
Students will learn the recent innovations in metrology processes using AI for improvement the overall process productivity by team of “a start-up inside the corporate”
For more information, contact us at:
doctoralschool@eitmanufacturing.eu