Lectures related to Linear Applications: Kernel-Image Theorem

Covers the analysis of hyperstatic structures using virtual work principles and computational methods.

Explores maximum likelihood estimation, profile log likelihood, inference on coefficients, quasi-likelihood, model comparison, and REML method.

Covers the fundamentals of spectroscopy, including tools, color, Doppler effect, and molecular behavior.