Explores the implications of the Luria-Delbrück experiment on evolutionary mechanisms and the importance of probabilities in understanding biological data.
Explores fundamental groups, homotopy classes, and coverings in connected manifolds.
Explores probability convergence, discussing conditions for random variable sequences to converge and the uniqueness of convergence.
Introduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.
Explores distributed randomness using Drand, covering cryptographic tools, key exchange, elliptic curve cryptography, and practical applications in blockchain systems.
