A first-year graduate course in Stochas TIC processes, including: review of basic probability; gaussian, poisson, and Weiner processes; wide-sense stationary processes; covariance function and power spectral density; linear systems driven by random inputs; basic Wiener and Kalman filter theory.
4
UnitsLetter
Grading1, 2, 3
PasstimeGraduate students only
Level LimitEngineering
CollegeI really enjoyed this class, and this professor was super chill. Lectures were nicely paced, midterm (40%) was chill, final (45%) was chill besides one tough question. TAs were super helpful at office hours; would highly recommend going. This class was way better than 130A for me, and I found it super interesting
Professor was super nice. Final and midterm collectively 85% of grade, with not many questions on either. One question (out of 4) on the final was extremely difficult, so your entire chance of getting an A revolved around this one question.
One of my favourite professors, he made difficult material seem much easier, he's very nice and relaxed, more like a friend than a professor. Homeworks and Midterm were very fair but one of the questions on the final was pretty tough and almost single handedly decided who's getting an A and who's not. I really liked the class all around
It was so bad. Terrible.
he's really nice and explains the concepts clearly and slowly. hws were helpful, exams were reasonable. he focused on the concepts instead of the computations, which was really nice. overall a big fan of pedarsani. def take 130b with him over any other prof
Mark Rodwell
2.9
Christopher Palmstrom
2.8
Bassam Bamieh
3.3
Katie Byl
3.4
Forrest Brewer
3.4