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STAT 321 Stochastic Signals and Systems
Stochastic behaviour of signals and systems (e.g., communication systems); discrete and continuous probability; random processes; modeling and identification of linear time-invariant systems; binary hypothesis testing and decision making.
This course is eligible for Credit/D/Fail grading.
To determine whether you can take this course for
Credit/D/Fail grading, visit the
website. You must register in the course before you can select the Credit/D/Fail grading option.
Pre-reqs: One of EECE 269, ELEC 221, STAT 305. (STAT 305 may be taken concurrently, with registration assistance from Statistics Student Services.)
Equivalents: ELEC 321
No sections offered for 2018 Summer.