-
Institution:
-
Harvard University
-
Subject:
-
-
Description:
-
An introduction to basic probabilistic ideas that find application in the study of communications and systems. Topics include: random variables, distributions and densities. Probabilistic models in engineering. Markov chains and other discrete time stochastic processes. Conditional probabilities, Bayes' rule and application to the estimation of the value of a stochastic process. Examples from communication theory; characterization of communication channels. Introduction to statistical inference and decision theory
-
Credits:
-
4.00
-
Credit Hours:
-
-
Prerequisites:
-
-
Corequisites:
-
-
Exclusions:
-
-
Level:
-
-
Instructional Type:
-
Lecture
-
Notes:
-
-
Additional Information:
-
-
Historical Version(s):
-
-
Institution Website:
-
-
Phone Number:
-
(617) 495-1000
-
Regional Accreditation:
-
New England Association of Schools and Colleges
-
Calendar System:
-
Semester
Detail Course Description Information on CollegeTransfer.Net
Copyright 2006 - 2026 AcademyOne, Inc.