E E 300 - Computational and Statistical Methods for Electrical Engineers

Units: 3

Grading Method: LCR: Letter Grade with Cr/NC available. The grading default for the class will be letter grade, but students can opt to take it for Cr/NC

Prerequisite(s): E E 210, COMPE 160, PHYS 196 all with a grade of C (2.0) or better and have an overall cumulative GPA of 2.7.

Random signals and events in electrical engineering. Introduction to basic probability, discrete and continuous random variables, joint random variables. Application of probabilistic models and concepts to engineering; data analysis and point estimation using computer-aided engineering tools.

Maximum Credits: 3
Note: Prerequisites will be enforced in all undergraduate electrical engineering courses numbered 100 through 596. A copy of an official transcript will be accepted as proof. For corequisites, an enrollment confirmation form will be accepted.