Lectures related to LED Drivers: Microcontrollers Understanding

Covers the general solution of inhomogeneous differential equations and explores linear dependence, uniqueness theorems, and second-order equations.

Introduces data science topics, evaluation methods, and course organization for the semester.

Explores the concept of linear independence in vector spaces through definitions and illustrative examples.

Covers the properties and criteria of linear dependence and independence in a vector space.

Explores linearly independent solutions in quadratic equations and the role of constants in trigonometric solutions.

Explores the applications and limitations of Principal Component Analysis, including denoising, compression, and regression.