Explores the second principle of thermodynamics, emphasizing entropy's role in system evolution and equilibrium.
Introduces the Random-Subcube Model (RSM) for constraint satisfaction problems, exploring its structure, phase transitions, and variable freezing.
Covers information measures like entropy, Kullback-Leibler divergence, and data processing inequality, along with probability kernels and mutual information.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Covers the Curie-Weiss model in Statistical Physics, including magnetization probability, free entropy, and the cavity method.
Explores entropy in thermodynamics, including Gibbs equations, ideal gases, and entropy balance in closed systems.
