EECE3468 (Analysis of Random Phenomena in Electrical and Computer Engineering) course reviews and ratings at Northeastern (NEU). Average rating 4.2/5. Compare professors with RateMyProfessor reviews.
Studies analytical concepts and methods for solving engineering problems involving randomness. Uses applications such as data analytics, artificial intelligence, signal processing, computer networks, electronic devices, and sensing systems as guiding examples. Begins with the basic theory of probability and random variables; then develops the concepts of random vectors, sequences, and processes with their statistical description. Introduces basic statistics, regression analysis, parameter estimation, and hypothesis testing, including the use of computer simulations. Defines the concepts of correlation, covariance, and power density spectra. Uses these concepts to discuss noise, uncertainty, and other random phenomena, which is covered in the context of electrical and computer engineering applications.
Data updated October 2026.