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EECE 346: Probability and Statistics for Electrical and Computer Engineering

Electrical & Computer Engineer · 4 credits · Electrical&ComputerEngineering

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 MATH 346.

Offered in 4 of the 26 listed terms (Spring 2024 to Spring 2027).

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 (9)

EECE 360, EECE 383, EECE 384, EECE 483, EECE 484, EECE 502, EECE 512, 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.

Instructors

InstructorSectionsTerms
Khan, Junaid2Spring 2025 to Spring 2026
Jiang, Xichen1Spring 2024
Lin, Ying1Spring 2027

Every offering in the listed terms (4 sections)

TermSecCRNTypeMeetsInstructorEnrolledDelivery
Spring 2027022061LectureMWF 2:00pm-3:15pm · KB 303Lin, Ying0/60Face to Face Instruction
Spring 2026022324LectureTR 11:00am-12:50pm · KB 303Khan, Junaid54/60Face to Face Instruction
Spring 2025022686LectureMW 2:00pm-3:50pm · KB 303Khan, Junaid46/60Face to Face Instruction
Spring 2024023447LectureMW 3:00pm-4:50pm · AH 014Jiang, Xichen33/60Face to Face Instruction