ŠC LJ – Robot programming: ŠC LJ – Programiranje robotov: Learning outcome 1

– Demonstrate the ability to control a robot using various methods (manual, console, program). – Explain and differentiate between continuous motion and point-to-point motion.Utilize robotic programming languages effectively for various applications. – Develop and execute industrial robot programs in simulation environments.Evaluate the functionality of robotic programs through simulation to ensure operational accuracy. – Create robotic […]

ŠC Škofja Loka – Pneumatics for Transition to Industry 4.0: Learning outcome 1

• Key concepts of Industry 4.0 and how they transform manufacturing processes. • Fundamentals of pneumatics, electro-pneumatics, and digital pneumatics, including their role in automation. • How to design, manage, and control pneumatic systems that are essential for Industry 4.0 environments. • How to calculate the forces of pneumatic cylinders and correctly dimension pneumatic systems. […]

MADE – INTRODUCTION TO ARTIFICIAL INTELLIGENCE FOR INDUSTRY 4.0: Understand AI, Machine Learning, and Deep Learning Concepts for Industry 4.0

Participants will gain a solid foundation in artificial intelligence, machine learning, and deep learning techniques, with a focus on their application in industrial settings. They will learn about key AI paradigms and how these technologies drive innovation and efficiency in Industry 4.0.

MADE – INTRODUCTION TO ARTIFICIAL INTELLIGENCE FOR INDUSTRY 4.0: Develop Practical Skills to Apply AI for Industrial Problem-Solving

Participants will acquire hands-on skills in using advanced algorithms to optimize business processes and address specific industrial challenges. Through practical exercises, they will learn to implement AI solutions that enhance productivity and operational performance in manufacturing and other industrial sectors.

MADE – Collaborative Robotics: Understand the Role and Impact of Collaborative Robots (Cobots) in Industry

Participants will gain a thorough understanding of collaborative robots (cobots), including their definition, key employment opportunities, and how they facilitate human-machine collaboration. They will explore current trends in industrial robotics, as well as the impact of automation on the workforce, enabling them to assess the benefits and challenges of integrating cobots into industrial processes.

MADE – Collaborative Robotics: Apply Knowledge of Safety Standards and Regulations in Robotics

Participants will learn about essential safety standards and regulations that govern the use of industrial robots and cobots. They will develop an in-depth understanding of the measures required to ensure safe and compliant use of collaborative robotics, with practical insights into how these regulations are applied in real-world industrial settings.

MADE – Big Data & Analytics: Analyse Big Data

Thanks to the course the participants will learn how to analysis efficently the Big Data

MADE – Big Data & Analytics: Apply Statistical Analysis Techniques

The students will learn how to apply Statistical Analysis Techniques

MADE – Robotics Health and Safety: Understand the Impact of Emerging Technologies on OHS

Participants will gain insights into how new technologies, such as IoT and artificial intelligence, are transforming safety management practices. They will learn how these innovations enhance accident prevention and contribute to reducing workplace risks, promoting a safer and more efficient working environment.

MADE – Design 4.0: Utilize Collaborative Platforms and Implement Product Lifecycle Management (PLM)

Participants will explore the role of collaborative platforms in design optimization and learn how to implement and evaluate Product Lifecycle Management (PLM) systems. Through real-world case studies, they will gain practical insights into how PLM can streamline the design process and foster innovation, enabling manufacturing companies to stay competitive in the Industry 4.0 landscape.