This comprehensive learning module delves into Boolean algebra and its applications in digital circuit design, covering fundamental concepts like Boolean variables, logic gates, and their relationship with digital logic circuits. Participants explore Boolean expressions, simplification techniques, and consensus theorems, including the advanced Quine McCluskey method. The module … [Read more...] about Fundamentals of Digital Design for VLSI Chip Design
Electrical Engineering
Robotics Process Automation for Smart Manufacturing
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
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
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
