This module covers Machine Learning and Data Analysis approaches applied to engineering applications
This module covers the main aspects of Machine Learning aspects within the cluster of data analysis. It includes basic theories of Machine Learning and Neural Networks, approaches for process dynamics, data mining, sensors and data acquisition toward AI, and basics of Computer Vision and AI for metrology.
Starting date: October 23
The module is a mixture of self-study, webinars, and cross-company exercises.
- The module does not require certain qualification.
- It is recommended to have general knowledge of digital transformation such as Smart Manufacturing and Engineering 4.0.
To complete this module, the participant is expected to schedule approximately 4 hours per week over 5 weeks (20 hours in total).
Please note that a minimum of 10 participants is required for the module to start.
After applying to the program, please secure dates in your calendar to be able to join planned webinars and assure time available required for learning.
Learning Area