Lecture, four hours; discussion, one hour; outside study, 10 hours. Requisites: 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.

Review Summary

Clarity
10.0 / 10
Organization
10.0 / 10
Time
5-10 hrs/week
Overall
10.0 / 10

Reviews

    Quarter Taken: Winter 2019 In-Person
    Grade: A+

    Despite my grade, I would rank this as one of the hardest classes I've taken. Professor Doleček does a very good job as a lecturer (probably because of her experience teaching this class). The homework was challenging but didactic, and I truly felt I learned a lot from the class.

    However, the midterm was just brutal. Walking out of the midterm I felt like I utterly failed – even worse than any test in a Professor Paul Eggert class, for those of you CS/E majors reading this. But they do give out significant partial credit, so you get a lot of points just for being on the right track. The final was hard but less so compared to the midterm. The curve was pretty generous though.

    Quarter Taken: Winter 2023 In-Person
    Grade: A

    Fair lecturer, fair exams. Dolecek is a very fair professor and clearly knowledgeable.

Course

Previously taught
25W 24W 23Su 23W 22W 21W 20W 19W
Formerly offered as
EL ENGR 131A

Grading Information

  • No group projects

  • Attendance not required

  • 2 midterms

  • 10th week final

  • 0% recommend the textbook

Previous Grades

Grade distributions not available.