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EECE 502: Random Processes

Electrical & Computer Engineer · 4 credits · Electrical&ComputerEngineering

This course studies mathematical tools for designing and evaluating engineering systems that operate in uncertain environments. Topics include convergence of sequences of random variables; random vectors and minimum mean squared error estimation; stationarity and ergodicity; discrete-time and continuous-time Markov processes; correlation functions, spectral analysis and application to linear systems; Wiener filtering and the orthogonality principle.

Offered in 2 of the 26 listed terms (Winter 2026 to Winter 2027).

Prerequisites

EECE 311 and (EECE 346 or MATH 341 or MATH 345 or MATH 346)

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 (2)

EECE 503, EECE 565

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
Altaf, Awais4Winter 2026 to Winter 2027

Every offering in the listed terms (4 sections)

TermSecCRNTypeMeetsInstructorEnrolledDelivery
Winter 2027012776LectureTR 4:30pm-6:20pm · KB 213Altaf, Awais0/21Face to Face Instruction
Winter 2027012777LectureTR 4:30pm-6:20pm · ONLINE SYNCAltaf, Awais0/15Distance Instr-OnLine
Winter 2026013607LectureTR 4:30pm-6:20pm · KB 213Altaf, Awais11/15Face to Face Instruction
Winter 2026013608LectureTR 4:30pm-6:20pm · ONLINE SYNCAltaf, Awais1/15Distance Instr-OnLine