ECSE 205 — Probability and Statistics for Engineers

Name: ECSE 205 — Probability and Statistics for Engineers
Rating: 2.32 (972 reviews)

Probability: basic probability model, conditional probability, Bayes rule, random variables and vectors, distribution and density functions, common distributions in engineering, expectation, moments, independence, laws of large numbers, central limit theorem. Statistics: descriptive measures of engineering data, sampling distributions, estimation of mean and variance, confidence intervals, hypothesis testing, linear regression.

Rating: 2.32 out of 5 from 972 student reviews
Difficulty: 3.98 out of 5
Credits: 3
Faculty: Faculty of Engineering
Department: Electrical & Computer Engr
Taught by: Ioannis Psaromiligkos
Prerequisite: MATH 262

Sections offered

Section 001 (Lec), Mon Wed 2:35-3:55 pm — 0 seats open
Section 002 (Tut), Wed 11:35 am-1:25 pm — 0 seats open
Section 003 (Tut), Fri 8:35-10:25 am — 2 seats open
Section 004 (Tut), Fri 11:35 am-1:25 pm — 0 seats open