As semiconductor complexity scales, the demand for career-ready graduates skilled in hardware description languages (HDLs) and electronic design automation (EDA) software has intensified. How are departments navigating the high licensing costs of industrial-grade simulation toolchains within undergraduate laboratory spaces? How can we best balance exposing students to open-source EDA tools with teaching the proprietary, closed ecosystems they will inevitably encounter in commercial R&D environments?
