Undergraduate Degree & Course Catalog
2020-21
This course covers the fundamentals of probability with applications to networks, communications, and signal processing. Examines sample space, events, probability axioms, random variables, conditional probability, independence, moments, discrete and continuous probability distributions, random processes, limit theorems, statistical estimation and testing. Students may not use both EE 305 and EAS 305 to satisfy Electrical Engineering degree requirements.