Explores the statistical properties of the Freely-Jointed-Chain model and the Worm-like Chain Model transition from discrete to continuum.
Introduces basic observables and simple models in polymer science, emphasizing the importance of reproducible measurements and discussing the concept of one-dimensional polymers.
Explores the calculation of end-to-end distance in polymer theory, focusing on isotropy, probability distributions, and the Kratky-Porod model.
Explores the correct exponent for the end-to-end distance in polymer chains and its implications on chain correlations.
Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Explores the Red bus/Blue bus paradox, nested logit models, and multivariate extreme value models in transportation.
Introduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.
