Explores random number generators on computers, focusing on the Modulo generator and the criteria for pseudo random numbers.
Explores quantum random number generation, discussing the challenges and implementations of generating good randomness using quantum devices.
Explores random number generators, from true random numbers to pseudo random algorithms, including the modulo generator and advanced techniques.
Explores random number generators, including Pseudo-RNG algorithms, properties, assessment methods, and independence testing.
Covers the implementation of deterministic random number generation in C++ simulations.
Explores distributed randomness using Drand, covering cryptographic tools, key exchange, elliptic curve cryptography, and practical applications in blockchain systems.
Explores functional random generators for various domains and their application in systematic random testing.
Covers uniform and pseudo-random number generators, properties, examples, and quality assessment through empirical tests.
Explores randomness in social processes, focusing on the selection of authority roles.
Introduces Jupyter exercises on Differential Privacy, covering random generators, understanding data intrusion impact, and practical applications.
