ECE 594: Devices, Circuits, and Systems for AI.ECE 531 Detection and Estimation Theory.ECE 418 Statistical Digital Signal Processing.ECE 415 Image Analysis and Computer Vision I.ECE 405 Information and Learning (tentative).ECE 317 Digital Signal Processing I (required for all, even if not “the” fundamental course for this track).ECE 341 Probability and Random Processes for Engineers.Alternatively, to deepen knowledge in power delivery systems, courses in power electronics, management, and systems should be considered. You can further broaden your circuit design expertise by coupling this track with courses in digital systems and VLSI. This track will help you acquire analytical tools and intuitive insight required for efficiently analyzing and designing analog systems (amplifiers, filters, analog-to-digital interfaces, and power circuits). Alternatively, processing and storing signals in the analog domain opens unprecedented performance opportunities for next-generation electronic devices. Digital-to-analog and analog-to-digital signal conversion is therefore crucial in all digital devices. Nowadays, most of the signals are processed and stored in digital format-with quantized magnitudes and discrete time. Alternatively, fueled by Moore’s scaling law, digitization of most information has become possible. That is, all the signals we extract from our sensory inputs (visual, auditory, haptic, olfactory, and environmental) are continuous in time and magnitude. Humans are analog beings living in an analog world.
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