VERSEC: LLMs for Chip Verification and Security | October 6-8, 2025
VERSEC is an intensive, three-day, hands-on short course designed to equip participants with the knowledge and practical skills needed to apply Large Language Models (LLMs) to the domains of chip design, functional verification, and hardware security. The course is tailored primarily for industry professionals but is also open to academic participants, including faculty, researchers, and students. Through a combination of lectures, live demos, and exercise-driven labs, participants will learn how LLMs can accelerate and enhance various aspects of the hardware design and validation pipeline—from Verilog generation and verification automation to vulnerability detection and secure design repair.
Fundamentals of Electric Transmission Planning | October 7-9, 2025
High voltage electric grids are some of the world’s most complex machines, whose present high levels of reliability have been achieved through careful planning. The purpose of this three-day short course is to provide a comprehensive coverage of the processes used in doing this planning. The course philosophy is to provide a practical, hands-on approach to describing electric transmission grid planning, with abundant practical examples illustrating each stage in the process. Particular attention will be given to those studies driven by regulatory processes relevant to utilities in North America such as by the U.S. Federal Energy Regulatory Commission (FERC) or the North American Electric Reliability Corporation (NERC). Throughout the course concepts will be illustrated using common industrial planning tools including PowerWorld Simulator with some hands-on exercises. Collectively the three course instructors have decades of experience in doing electric power system planning, planning software tool development, and engineering education.
Introduction of Artificial Intelligence in Power Systems | November 4-6, 2025
The course is designed to provide introductory coverage of data science and machine learning that is tailored for power engineering applications. The electricity industry is transforming itself from a hierarchical, passive, and sparsely-sensed engineering system into a flat, active, and ubiquitously-sensed cyber-physical system. The emerging multi-scale data from synchrophasors, smart meters, weather, and electricity markets offers tremendous opportunities as well as challenges for the industry to dynamically learn and adaptively control a smart grid. This training introduces the foundation of high-dimensional spaces and data analytical tools necessary to model and operate a modern power system. We will introduce a suite of tools for statistical time series analysis and dimensionality reduction. We will discuss the differences between first-principle models and data-driven models in real-time operations. Discussions and computer-based simulation projects will prepare the participants to better understand how to integrate data-driven and physics-based reasoning in modern power systems. The course is designed to provide introductory coverage of data science and machine learning that is tailored for power engineering applications. The electricity industry is transforming itself from a hierarchical, passive, and sparsely-sensed engineering system into a flat, active, and ubiquitously-sensed cyber-physical system. The emerging multi-scale data from synchrophasors, smart meters, weather, and electricity markets offers tremendous opportunities as well as challenges for the industry to dynamically learn and adaptively control a smart grid. This training introduces the foundation of high-dimensional spaces and data analytical tools necessary to model and operate a modern power system. We will introduce a suite of tools for statistical time series analysis and dimensionality reduction. We will discuss the differences between first-principle models and data-driven models in real-time operations. Discussions and computer-based simulation projects will prepare the participants to better understand how to integrate data-driven and physics-based reasoning in modern power systems.
Primer on the Planning and Operation of Large-Scale Electric Grids
The goal of this course is to provide a comprehensive introduction for those without an in-depth electric power engineering background on how such electric grids are designed and operated, and on how they are likely to change in the future. The electric grid of the past, which was primarily power by large-scale fossil-fuel generators, is no longer a reality and the current system is rapidly changing. The integration of vast amounts of renewable generation resources along with the addition of new technologies such as energy storage and large amounts of digital technology supporting its design and operation, also known as the smart grid, are presenting many new opportunities and challenges.