ECE 342 - Probability for Electrical and Computer Engineers

★ 3 (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.

Fall Term 2021

Lectures

LECTURE A1 (42156)
Capacity: 135
2021-09-01 - 2021-12-07
TH 08:00 - 09:20 (ETLC E1-007)

Primary Instructor: Yindi Jing

Seminars

SEMINAR 801 (57271)
Capacity: 40
2021-09-01 - 2021-12-07

Primary Instructor: Yindi Jing
SEMINAR E1 (42158)
Capacity: 135
2021-09-01 - 2021-12-07
M 08:00 - 08:50 (CCIS 1-140)

Primary Instructor: Yindi Jing

Winter Term 2022

Lectures

LECTURE B1 (62058)
Capacity: 105
2022-01-05 - 2022-04-08
MWF 10:00 - 10:50 (NRE 1-003)

Primary Instructor: Chintha Tellambura

Seminars

SEMINAR J1 (62060)
Capacity: 105
2022-01-05 - 2022-04-08
M 12:00 - 12:50 (NRE 2-001)

Primary Instructor: Chintha Tellambura