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Data Science for Engineers
Module developed by ingenjör4.0

Data Science for Engineers

Starting date: Autumn 2024
Price: 1 995 SEK ex. vat
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This module covers main aspects of Data Processing, Neural Networks, Signal and Image Processing.

Overview

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 schedule
Starting date: Autumn 2024
TBD — 1st Webinar
TBD — 2nd Webinar
TBD — 3rd Webinar
TBD — 4th Webinar
TBD — 5th Webinar
Learning objectives
Describe and discuss fundamental principles of machining and dynamic behavior at machining operations.
Be familiar with fundamental principles of assessment of surface quality and integrity with use of advanced instruments.
Understand the basics of the characterization techniques concerning pre-processing, filtration and parameterization of engineering surfaces.
Be familiar with approaches of data collection and Big Data concept on the industrial level as well as with general methods of signal and image processing.
Describe and discuss fundamental principles of ML and ANN techniques.
Understand the possibilities and limitations of the current metrology framework (hardware and software) with practical applications in quality control.
Module structure

The module is a mixture of self-study, webinars, and cross-company exercises.

Targeted participants
  • 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.
Time commitment

To complete this module, the participant is expected to schedule approximately 4 hours per week over 5 weeks (20 hours in total).

Content
Important

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.

Partners
Lund university
Halmstad university
Mälardalen university
Related Learning Area
Learning Area

Big Data, Machine learning and Sensors

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