EL ENGR 131A
Probability and Statistics
Description: Lecture, four hours; discussion, one hour; outside study, 10 hours. Requisites: course 102 (enforced), Mathematics 32B, 33B. Introduction to basic concepts of probability, including random variables and vectors, distributions and densities, moments, characteristic functions, and limit theorems. Applications to communication, control, and signal processing. Introduction to computer simulation and generation of random events. Letter grading.
Units: 4.0
Units: 4.0
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Most Helpful Review
Winter 2026 - One of the best professors I've had at UCLA. Explained things from first principles in a very approachable way, navigated through rigorous course content in a passionate way. Clearly cared a lot about student learning, and often times stopped lecture to reinforce a topic she believed needed more emphasis. Clear exams and well structured lectures. Homework assignments were occasionally tedious and time consuming, but covered course concepts effectively. Only weakness is sometimes using whiteboard markers running out of ink that aren't easy to see on the board. Would recommend, especially since I hear other (easier) courses that fulfill the stats requirement for CS majors have recently been suffering from bad professors.
Winter 2026 - One of the best professors I've had at UCLA. Explained things from first principles in a very approachable way, navigated through rigorous course content in a passionate way. Clearly cared a lot about student learning, and often times stopped lecture to reinforce a topic she believed needed more emphasis. Clear exams and well structured lectures. Homework assignments were occasionally tedious and time consuming, but covered course concepts effectively. Only weakness is sometimes using whiteboard markers running out of ink that aren't easy to see on the board. Would recommend, especially since I hear other (easier) courses that fulfill the stats requirement for CS majors have recently been suffering from bad professors.
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