Catalog Description: This course is a follow-on to EECS 16A, and focuses on the fundamentals of designing and building modern information devices and systems that interface with the real world. The course sequence provides a comprehensive introduction to core EECS topics in machine learning, circuit design, control, and signal processing while developing key linear-algebraic concepts motivated by application contexts. Modeling is emphasized in a way that deepens mathematical maturity, and in both labs and homework, students will engage computationally, physically, and visually with the concepts being introduced in addition to traditional paper exercises. The courses are aimed at entering students as well as non-majors seeking a broad introduction to the field.
Units: 4
Prerequisites: EECS 16A
Formats:
Fall: 3.0 hours of lecture, 2.0 hours of discussion, and 3.0 hours of laboratory per week
Summer: 6.0 hours of lecture, 4.0 hours of discussion, and 6.0 hours of laboratory per week
Grading basis: letter
Final exam status: Written final exam conducted during the scheduled final exam period