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.

Prerequisites: ECE 139 or equivalent. Graduate standing.

4

Units

Letter

Grading

1, 2, 3

Passtime

Graduate students only

Level Limit

Engineering

College
Unlocks ECE 283 ECE 242 ECE 284
Upamanyu Madhow
3 reviews
Lecture
PHELP1437
M W
16:00 PM - 17:50 PM
22 / 50
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ECE 235 Madhow U Fall 2023 Total: 19
ECE 235 Pedarsani R Fall 2022 Total: 11
130A . 3 Months Ago

Do not take this class. The lectures are not very well made and are hard to follow at times, the homework is straight from the lecture notes but his lecture notes don't prepare you for the homework either. He ignores questions during lectures and is condescendingly rude when you try to ask questions after lecture. Avoid at all costs.

2 helpful 0 unhelpful
130A . 4 Months Ago

If possible do not take it with him. Bro lectures straight from a textbook he has written and does not explain anything for software assignments (expects you to know MATLAB with no prior knowledge). Rushes through subjects and most people are lost. Again, steer clear of this guy.

0 helpful 0 unhelpful
130A . 4 Months Ago

Homework is extremely long. Not just one assignment, but two per week. He isn't very engaging during his lectures and just keeps going so fast. The material is difficult and he teaches straight from his book. It's challenging to understand it all. I suppose that his teaching style just didn't suit me, I don't know. Best advice: go to TA office hrs.

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