Lessons will start on thursday October the 2nd
Thursday 17:00 - 20:00 - Room A3 Via Ariosto 25
Friday 17:00 - 19:00 - Room A3 Via Ariosto 25
Understanding of the main application scenarios relevant to Smart Manufacturing technologies
Familiarity with the technologies utilized in Smart Manufacturing including those for: (a) Low-level programming of machinery, (b) Data transmission over industrial networks, (c) Development of Artificial Intelligence solutions (Computer Vision, Symbolic Artificial Intelligence, Machine and Deep Learning);
Ability to design and develop practical solutions in the field of Smart Manufacturing;
Understanding the integration of smart manufacturing systems into the modern Big Data Continuum;
Understanding the technological stack used in the industrial field and the necessity of integrating it into higher-level solutions.
Ability to:
Identify the most suitable techniques for developing a Smart Manufacturing solution that meets an industrial need;
Implement the proposed solution, identifying the most appropriate design and implementation tools, among available ones;
Design and implement experiments to evaluate proposed solutions in realistic settings;
Being able to translate application requirements into concrete Smart Manufacturing problems;
Being able to identify the most suitable techniques and tools to address the aforementioned problems;
Being able to estimate in advance, at least qualitatively, the degree of scalability of proposed solutions.
Information Systems in Smart Manufacturing
Industrial communication protocols
Embedded Systems
Real-time Operating Systems (with examples in Samsung PLCs, FreeRTOS and Linux Real-Time)
Introduction to Industrial robot programming (with examples in ROS 2 - Robot Operating System)
Big Data in Smart Manufacturing
Industrial Computer Vision (with examples in OpenCV)
Artificial Intelligence and Smart Manufacturing
Dashboarding