As intelligence increasingly moves from purely digital environments into physical systems, analog circuit design provides the essential link between computation and the real world. It is a foundational discipline for physical AI, enabling the sensing, actuation, power management, and signal interfaces on which intelligent machines depend. This course covers analysis and simulation of elementary transistor stages, current mirrors, supply- and temperature-independent bias, and reference circuits. Overview of integrated circuit technologies, circuit components, component variations and practical design paradigms. Differential circuits, frequency response, feedback, and noise will also be covered. Performance evaluation using computer-aided design tools. Undergraduates must take EE 114 for 4 units. GER:DB-EngrAppSci
3-4 units · Letter (ABCD/NP)
As intelligence increasingly moves from purely digital environments into physical systems, analog circuit design provides the essential link between computation and the real world. It is a foundational discipline for physical AI, enabling the sensing, actuation, power management, and signal interfaces on which intelligent machines depend. This course covers analysis and simulation of elementary transistor stages, current mirrors, supply- and temperature-independent bias, and reference circuits. Overview of integrated circuit technologies, circuit components, component variations and practical design paradigms. Differential circuits, frequency response, feedback, and noise will also be covered. Performance evaluation using computer-aided design tools. Undergraduates must take EE 114 for 4 units. GER:DB-EngrAppSci
Offered in Autumn 2026 at Stanford University.