Analysis and design of electronic circuits and systems. Biasing, small-signal analysis, frequency response, feedback amplifiers, active filters, non-linear op-amp applications, and oscillators.

Basic concepts of microelectronic materials, devices, and circuits.

Computer system and digital design principles. Switch and gate design, Boolean algebra, number systems, arithmetic, storage elements. Datapath, memory organization, instruction set architecture, assembly language. Credit not allowed for both ECE 2020 and ECE 2030.

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Analysis and design of electronic circuits and systems. Biasing, small-signal analysis, frequency response, feedback amplifiers, active filters, non-linear op-amp applications, and oscillators.

This course is designed to explore methods of applying statistical process control and statistical quality control to semiconductor manufacturing processes. Students will be required to complete a design project.

Establish AI literacy for all students. Students will gain experience and practice with algorithm design, data structure, logical thinking, reasoning, explanations, ethics in AI, and AI systems. A focus is on developing skills and experience in utilizing the AI Makerspace to perform certain functionalities on real data.

Establish AI literacy for all students. Students will gain experience and practice with algorithm design, data structure, logical thinking, reasoning, explanations, ethics in AI, and AI systems. A focus is on developing skills and experience in utilizing the AI Makerspace to perform certain functionalities on real data.