Probability Theory in Electrical and Computer Engineering

ENG EC 381

Introduction to modeling uncertainty in electrical and computer systems. Experiments, models, and probabilities. Discrete and continuous random variables. Reliability models for circuits. Probability distributions. Moments and expectations. Random vectors. Functions of random variables. Sums of random variables and limit theorems. Signal detection and estimation. Basic stochastic processes. Discrete-time Markov chains. State-diagrams. Applications to statistical modeling and interpretation of experimental data in computer, communication, and optical systems. 4cr,

FALL 2014 Schedule

Section Instructor Location Schedule Notes
A1 Ishwar CAS 226 MW 12:00 pm-2:00 pm Class Full
A1 Ishwar ARR TBD-TBD Class Full

SPRG 2015 Schedule

Section Instructor Location Schedule Notes
A1 Cassandras MW 12:00 pm-2:00 pm
A1 Cassandras ARR TBD-TBD

Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.