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
1 of 1

Suhas Diggavi

Overall Rating N/A
Easiness N/A/ 5
Clarity N/A/ 5
Workload N/A/ 5
Helpfulness N/A/ 5
Most Helpful Review
No reviews have been written yet.

Lin Yang

Overall Rating 1.0
Easiness 1.0/ 5
Clarity 1.0/ 5
Workload 2.0/ 5
Helpfulness 1.0/ 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.
AD
1 of 1

Adblock Detected

Bruinwalk is an entirely Daily Bruin-run service brought to you for free. We hate annoying ads just as much as you do, but they help keep our lights on. We promise to keep our ads as relevant for you as possible, so please consider disabling your ad-blocking software while using this site.

Thank you for supporting us!