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MATH 346: Probability and Statistics for Electrical and Computer Engineering

Mathematics · 4 credits

This course provides an introduction to probabilistic and statistical reasoning. Topics include probability models, combinatorics, axioms of probability, conditional probability and Bayes’ Theorem, random variables, functions of random variables, expectation, variance, independence, correlation, hypothesis testing, and confidence intervals. Emphasis on relevance of topics to real-world electrical and computer engineering applications such as communications, networking, circuit analysis, and computer engineering. Please note: No more than one of MATH 341, MATH 345, and EECE/MATH 346 can be counted for credit. Also offered as EECE 346.

Not offered in the listed terms.

Prerequisites

MATH 204 and (MATH 224 or MATH 225) and EECE 310

Prerequisite tree

Each course's own prerequisites, down to the first courses in the chain.

From Banner's catalog for Spring 2027. Banner lists only the requisites it enforces, so check the catalog entry too.

Required by (8)

EECE 360, EECE 383, EECE 384, EECE 483, EECE 484, EECE 502, MATH 246, MATH 342

What it leads to

Courses that list it as a prerequisite, then the courses that list those, 2 levels deep.

Syllabi and course websites

None listed yet.