Covers information measures like entropy, Kullback-Leibler divergence, and data processing inequality, along with probability kernels and mutual information.
Explores the concept of entropy expressed in bits and its relation to probability distributions, focusing on information gain and loss in various scenarios.
Covers the basic concepts of object-oriented programming in Java, emphasizing encapsulation, abstraction, and the importance of organizing complex programs.