This is a graduate-level course focused on techniques and models in modern discrete probability. Topics include: the first and second moment methods, Chernoff bounds and large deviations, martingales, ...

This is a graduate-level course focused on techniques and models in modern discrete probability. Topics include: the first and second moment methods, martingales, concentration inequalities, branching ...

CIVE.2860 — Undergraduate Id: 002972 Offering: 1 Credits: 3-3 Description Probability, statistics, reliability and decision with applications in engineering. Probability of events, discrete and ...

Conditional probability is the likelihood of an event occurring based on the occurrence of an earlier event. The second event is dependent on the first event.

Applications range from medical imaging to autonomous vehicle technology. Learn data manipulation techniques to improve signal or image fidelity. Understand the theory of probability and stochastic ...