• UC Berkeley faculty across four engineering departments receive funding to embed AI tools in core undergraduate courses. • Initiative funded by CAWIT and donor-supported campus program emphasizes practical AI integration over theory. • Projects will develop in spring 2026, launch by 2026‑27, and be evaluated post‑implementation. • Goal: equip students with AI as a thinking partner for evolving entry‑level engineering roles. • Huiwen Jia’s proposal focuses on AI‑enhanced prompting, judging, partnering, and planning in IEOR courses. • Berkeley Engineering commits to innovative undergraduate education, reflecting its leadership in AI‑driven curriculum.
Article Summaries:
- UC Berkeley engineering faculty have received a CAWIT‑backed grant to embed artificial‑intelligence tools into undergraduate courses across four departments. The initiative, announced by College of Engineering deans, will fund pilot projects that integrate AI into core application courses rather than creating new AI theory classes. Faculty will develop and test their projects during the spring 2026 semester and the following summer, with implementation slated for the 2026‑27 academic year. Notable proposals include Huiwen Jia’s “AI as a thinking partner” in industrial‑engineering courses, Thomas Schutzius and Claudio Hail’s CalorAI language‑model assistant for thermodynamics, and a PupilBot engineering platform.
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