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Lund University
Smart Manufacturing
<p>This course offers a complete introduction to smart manufacturing, designed for both students and industry professionals. You will explore the key technologies that are changing modern manufacturing, including sensors, signal processing, machine learning and neural networks.</p><p><strong>Learning Activities:</st…
- Higher education
- Information unavailable
- 19 January 2026
- Information unavailable
- Information unavailable
- 25 %
Overview
<p>This course offers a complete introduction to smart manufacturing, designed for both students and industry professionals. You will explore the key technologies that are changing modern manufacturing, including sensors, signal processing, machine learning and neural networks.</p><p><strong>Learning Activities:</strong></p> <p><em><strong>Recorded lectures:</strong></em> Listen to a series of lectures covering key smart manufacturing concepts and technologies at your own pace.</p> <p><em><strong>Live and recorded webinars:</strong></em> Participate in interactive sessions where you can interact with faculty and peers, and revisit recordings at any time for deeper understanding.</p> <p><em><strong>Project:</strong></em> Work on real industrial cases, applying what you've learned to solve practical problems and develop solutions relevant to today's manufacturing environments.</p> <p><strong>Course Topics:</strong></p> <p><em><strong>Sensors and Signals:</strong></em> Learn how to collect and interpret data from different types of sensors used in manufacturing processes.</p> <p><em><strong>Signal and Image Processing:</strong></em> Understand methods for processing and analyzing signals and images to improve manufacturing operations.</p> <p><em><strong>Machine Learning and Neural Networks:</strong></em> Explore how these tools are used to optimize processes, predict maintenance needs, and improve quality control.</p> <p><em><strong>Applications:</strong></em> Discover practical applications of these technologies in real industrial settings, connecting theory with practice.</p> <p><strong>Who should enroll:</strong></p> <p>This course is ideal for those starting out with no prior knowledge, as well as people familiar with Smart Manufacturing concepts looking to refresh their skills. Whether you're a student looking to learn about advanced manufacturing or a professional looking to stay ahead in the industry, this course will take you from the basics to advanced smart manufacturing applications.</p>
Admission scores
Entry requirements
90 hp i tekniska kurser med minst 6 hp i programmering. Engelska 6.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-01-19
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.lu.tfrp90.t2023.20261
- Last checked
- 2026-09-23T10:38:33.477975+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.lu.tfrp90.t2023.20261
- Offering identity in the source
- e.uoh.lu.tfrp90.t2023.20261
- Education-form source code
- HS
- Education code in the source
- TFRP90
- Change time according to the source
- 2025-06-23T13:20:01
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.