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Course Prefix: EE Course #: 305 Keywords: showing 0 to 1

EE 305LEC Applied Probability

Lecture

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.

Credits: 4
Grading: Graded (GRD)
Typically Offered: Fall
Requisites: Pre-Requisite: MTH 241 or MTH 251; EE or ENS Majors or EE Minors Only. EE faculty advisement is required. Students are not eligible to enroll in EE 305 if they have already completed or are enrolled in CE 305, CIE 308, or EAS 305.