Vector Spaces II: Linear Independence/Dependence, Matrix Inverse 
Vector Spaces II: Linear Independence/Dependence, Matrix Inverse by UC Berkeley
Video Lecture 6 of 26
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Date Added: July 27, 2017

Lecture Description

Topics include vector spaces, linear independence and dependence, and the inverse of a matrix.

Course Index

Course Description

This course and its follow-on course EE16B focus on the fundamentals of designing modern information devices and systems that interface with the real world. Together, this course sequence provides a comprehensive foundation for core EECS topics in signal processing, learning, control, and circuit design while introducing 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/pencil exercises. The courses are aimed at entering students as well as non-majors seeking a broad foundation for the field.


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