EC ENGR 241A

Stochastic Processes

Description: 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.

Units: 4.0
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Suhas Diggavi

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Lin Yang

Overall Rating 3.0
Easiness 3.0/ 5
Clarity 2.5/ 5
Workload 3.0/ 5
Helpfulness 3.0/ 5
Most Helpful Review
Fall 2023 - Do not recommend it at all! Awful explanation, no slides, no recording! I did not understand what he is trying to tell. Not only me, other also failed to get his point. Exams are extraordinary hard, the average was 65/100.
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