Stochastic Processes
Lecture, four hours; discussion, one hour; outside study, seven hours. Requisite: course 131A. Review of basic probability, axiomatic development, expectation, convergence of random processes: stationarity, power spectral density. Response of linear systems to random inputs. Basics of estimation. Special random processes, Markov processes, martingales, etc. Letter grading.
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Enrollment Progress
Jul 13, 4 PM PDT
LEC 1: 40/40 seats taken (Full)
Section List
LEC 1
Open (39 seats)MW 6pm-7:50pm
Young Hall 2200
Course
Previous Grades
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