Offers an overview of propositional and predicate logic, sets, functions, relations, algorithms, Swiss cities, sorting tables, Covid infections, poker hands, and prime numbers.
Introduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.
Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
