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 fundamental programming and object-oriented programming concepts in Java, including variables, types, control structures, and basic algorithmic concepts.
Covers the basics of programming, including the development cycle of a program, strong typing, data storage in Java variables, and primitive data types.
Explores maximal correlation in information theory, mutual information properties, Renyi's measures, and mathematical foundations of information theory.
Covers the basic concepts of object-oriented programming in Java, emphasizing encapsulation, abstraction, and the importance of organizing complex programs.
