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Title: Probabilistic Systems Analysis and Applied Probability
Url: http://ocw.mit.edu/courses/electrical-engineering-and-computer-scienc...
Publisher: Massachusetts Institute of Technology
Description: This course, presented by Massachusetts Institute of Technology, introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space-random variables, transform techniques, simple random processes, probability distributions, Markov processes, limit theorems, elements of statistical inference. This course has a complete set of lecture tools, and also assignments as learning aids.
LC Classification: Science -- Mathematics -- Mathematical statistics
Science -- Mathematics -- Mathematical statistics -- Addresses, essays, lectures
Science -- Mathematics -- Probabilities -- Geometric probability. Stochastic geometry. Random sets
Science -- Mathematics -- Probabilities -- Probability theory on algebraic and topological structures
Science -- Mathematics -- Probabilities -- Stochastic processes -- Markov processes. Markov chains
GEM Subject: Science
Science -- Technology
Mathematics -- Statistics
Key Concept: Mathematics
Mathematics -- Probability
Mathematics -- Statistics
Mathematics -- Variation
Mathematics -- Limits
Date Issued: 2008
Resource Type: Course Descriptions
Instructional Materials
Reading Materials
Science Materials
Study Guides
Teaching Guides
Test Reviews
Format: flash
real media
Audience: College/University Instructors
Higher Education
Professional Formation
Technical School First Cycle
Technical School Second Cycle
University First Cycle
University Second Cycle
Vocational Training
Language: English
Rights: MIT
Access Rights: Free access
Date Of Record Release: 2008-11-10 03:00:01 (W3C-DTF)
Date Last Modified: 2011-08-29 12:55:59 (W3C-DTF)
Source Type: ATE Center
Source: NetWorks
Full Record Views: 74
Resource URL Clicks: 9
Cumulative Rating: NOT YET RATED
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