Probabilistic Systems Analysis and Applied Probability
6.041 · Electrical Engineering and Computer Science · Undergraduate · Spring 2006
Prof. Munther Dahleh
This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 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 and their probability distributions, Markov processes, limit theorems, and elements of statistical inference.
The syllabus, on MIT OpenCourseWare
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Syllabus ↗
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Readings ↗
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Assignments ↗
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Attribution
Prof. Munther Dahleh. 6.041 Probabilistic Systems Analysis and Applied Probability. Spring 2006. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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