ECE 342 - Probability for Electrical and Computer Engineers

3 units (fi 8)(EITH/SP/SU, 3-1S-0)

Faculty of Engineering

Deterministic and probabilistic models. Basics of probability theory: random experiments, axioms of probability, conditional probability and independence. Discrete and continuous random variables: cumulative distribution and probability density functions, functions of a random variable, expected values, transform methods. Pairs of random variables: independence, joint cdf and pdf, conditional probability and expectation, functions of a pair of random variables, jointly Gaussian random variables. Sums of random variables: the central limit theorem; basic types of random processes, wide sense stationary processes, autocorrelation and crosscorrelation, power spectrum, white noise. Prerequisite: MATH 209. Credit may be obtained in only one of ECE 342 or E E 387.

No syllabi

Fall Term 2024

Lectures

Section Capacity Class times Login to view Instructor(s) and Location
LECTURE A1
(46802)
135
2024-09-03 - 2024-12-09 (TR)
08:00 - 09:20

Seminars

Section Capacity Class times Login to view Instructor(s) and Location
SEMINAR E11
(46803)
135
2024-09-03 - 2024-12-09 (M)
08:00 - 08:50

Winter Term 2025

Lectures

Section Capacity Class times Login to view Instructor(s) and Location
LECTURE B1
(70490)
90
2025-01-06 - 2025-04-09 (MWF)
10:00 - 10:50

Seminars

Section Capacity Class times Login to view Instructor(s) and Location
SEMINAR J11
(70491)
90
2025-01-06 - 2025-04-09 (M)
12:00 - 12:50