ECE 320 - Probabilistic Topics for Computer Engineering

Institution:
University of Hartford
Subject:
Description:
Probability, random variables, distribution and density functions, statistics of random variables, sampling and estimation, random processes, Markov processes, correlation functions. Probabilistic methodologies are applied extensively to electrical, electronic, and digital engineering problems; computer programming of probabilistic concepts. Extensive computer assignments are distributed throughout the semester. No credit given to electrical engineering students. Prerequisite: ECE 361.
Credits:
3.00
Credit Hours:
Prerequisites:
Corequisites:
Exclusions:
Level:
Instructional Type:
Lecture
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(860) 768-4100
Regional Accreditation:
New England Association of Schools and Colleges
Calendar System:
Semester

The Course Profile information is provided and updated by third parties including the respective institutions. While the institutions are able to update their information at any time, the information is not independently validated, and no party associated with this website can accept responsibility for its accuracy.

Detail Course Description Information on CollegeTransfer.Net

Copyright 2006 - 2025 AcademyOne, Inc.