Lectures related to Microclimatic Analysis in Urban Design

Covers eigenvalues, eigenfunctions, Hermitian operators, and the measurement of observables in quantum chemistry.

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Covers Python list manipulation and comprehension, emphasizing memory representation and mutability.

Covers energy renovation strategies and U-value calculations in building technology.

Explains the transformation from a matrix to the density operator in quantum physics.

Discusses eigenfunctions of Hermitian operators in quantum chemistry and the quantization of energy levels.

Covers Quantum Chemistry topics like SP Hybridization and orbital conservation.

Explores spectroscopy, light propagation, and absorption processes in molecules.

Explores the physics of building technology and the physiology of vision, emphasizing visual comfort and lighting effects.