This repository provides an introductory crash course on Probability and Statistics using Python, leveraging Jupyter notebooks for hands-on learning. It includes foundational concepts in probability, ...

Overview An introduction to probability and statistics, with practical applications. First section of the course: fundamentals of probability, counting problems, discrete and continuous random ...

A random variable represents an event whose outcome is unknown. A probability distribution is an assignment of weights to outcomes, which must satisfies the following conditions: (1) 0 $\leq P(\omega) ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Introduction to probability, random processes and basic statistical methods to address the random nature of signals and systems that engineers analyze, characterize and apply in their designs. It ...