Help On Engineering Probability Resources

AI Thread Summary
The discussion revolves around seeking supplementary resources for an engineering probability module that emphasizes practical applications rather than pure mathematics. The original poster is struggling to find quality lecture notes online to enhance their understanding of topics such as random variables, applied statistics, and optimization. A participant suggests the Papoulis book, which offers a rigorous mathematical approach, and also recommends Miller and Freund's book for a more accessible perspective. The conversation highlights the need for effective study materials tailored to engineering contexts. Overall, the search for appropriate resources continues.
rela
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Dear all,

I'm currently taking an engineering module which is probability based. However, it's not a maths module. Instead, it's a probability module designed to come under the context of engineering. The probability topics range from sets, RV, PDF, applied statistics, random process, complex analysis, conformal mapping, linear algebra and optimization.

I have been searching online for alternative lecture notes to supplement my reading and understanding. However, I'm unable to find it any good notes to refer. Hence, I'm wondering if any of you may happen to come across some good notes to recommend.

Any help would be greatly appreciated.

Thanks
Rela
 
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hmm, i dunno, when i took it, we used the Papoulis book, which starts off with an axiomatic treatment of probability. it was maybe the most mathematical class i ever took, despite being in the engineering department. i think i had a Schaum's outline as supplemental material, but that was it.
 
Although I think the Papoulis - Probability, Random Variables and Stochastic Processes is a great book, there is another book with a somewhat less theoretical approach you might want to have a look at - Miller and Freund - Probability and Statistics for Engineers.
Good Luck.
 
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