This course provides an intermediate-level exploration of Robotics Process Automation (RPA) within the realm of smart manufacturing, catering to manufacturing engineers, process designers, automation technologists, and quality assurance specialists. Over a duration of 4 hours, participants will delve into the foundational concepts of RPA, its integration with existing … [Read more...] about Robotics Process Automation for Smart Manufacturing
Physical Science and Engineering
Wind Turbine Sensors
“Wind Turbine Sensors” starts with a discussion on how wind turbines generate energy and the major parts of a wind turbine. It then moves to a deep dive on the mechanical components (turbine blades, hub assembly, gearbox. yaw drive, brakes) and the sensors that monitor these components. Then we discuss the generator and transformer and sensors for these electrical components. … [Read more...] about Wind Turbine Sensors
Modeling of Autonomous Systems
This course will explain the core structure in any autonomous system which includes sensors, actuators, and potentially communication networks. Then, it will cover different formal modeling frameworks used for autonomous systems including state-space representations (difference or differential equations), timed automata, hybrid automata, and in general transition systems. It … [Read more...] about Modeling of Autonomous Systems
Sustainability and the Circular Economy
As the world’s population continues to rise toward an expected 10 billion citizens by 2050, it is imperative that business practices change to ensure a high quality of life is possible for all of us, both human and non-human. Today’s learners are very aware of this. Moreover, they are highly motivated and have the extraordinary capacity to create a future that provides both … [Read more...] about Sustainability and the Circular Economy
Introduction to Deep Learning for Computer Vision
Starting with zero deep learning knowledge, this foundational course will guide you to effectively train cutting-edge models for image classification purposes. From analyzing medical images to recognizing traffic signs, classification is important for many applications. Classification models also serve as the backbone for more complicated object detection models. Through … [Read more...] about Introduction to Deep Learning for Computer Vision