This module covers main aspects of Data Processing, Neural Networks, Signal and Image Processing.
This module covers the main aspects of Data Processing, principles of Neural Networks and Multi-layer Perceptron (MLP), and Signal and Image Processing related to engineering tasks. The module is oriented on both the theoretical introduction of the selected techniques and practical implementation in a Matlab environment. The presented examples are focused on engineering applications.
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.