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Course Prefix: EE   Course #: 305   Keywords: null   showing 1 to 1 of ~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
Prerequisites: MTH 241 or MTH 251; Approved Electrical Engineering Majors or Minors Only. EE faculty advisement is required.
 
Published: Jul 22, 2020 09:55:59