Wireless system specifications are translated to architectures and building blocks compatible with silicon technology. The course focuses on the analysis and design of these blocks.

The design, foundation, and applications of generative and geometric deep learning

Written, oral, and visual communication skills required by electrical and computer engineers. Prepares students for advanced communication tasks required in academic and professional settings.

This course teaches system-level design, including both software and hardware. Through activities and projects, students gain exposure to entrepreneurship, product lifecycle management, prototyping, and testing.

This course introduces graduate students to the theory and practice of applying artificial intelligence and machine learning to semiconductor process technology, metrology, manufacturing, and digital twins. The semiconductor industry is undergoing a transformation driven by the increasing complexity of advanced process nodes and the explosion of data generated in modern fabrication facilities. AI/ML techniques and digital twin frameworks are now critical tools for process modeling, equipment monitoring, defect inspection, yield optimization, and accelerating technology development cycles.

Designed for students with a background in semiconductor devices and processes but no prior AI/ML experience, the course begins with a rigorous introduction to machine learning fundamentals using Python, then progressively applies these techniques to real-world semiconductor challenges. Topics include surrogate modeling for TCAD, physics-informed neural networks, virtual metrology, SEM defect classification, yield prediction, fault detection, digital twins for fab modules, and ML-assisted technology development.

The course emphasizes hands-on learning through four Python labs using open semiconductor datasets, two problem-set homeworks, and a substantial semester-long research project. Industry guest lectures provide direct exposure to how these methods are deployed in production fabs and R&D environments.

Advanced digital design issues in the context of VLSI systems. Introduction to a design methodolgy that encompasses the range from architectural models to circuit simulation. Credit not awarded for ECE 3150 and ECE 3060.