Introduction to Probability

Lecture, three hours; discussion, one hour. Requisites: Mathematics 32B, 33A. Not open to students with credit for Electrical Engineering 131A or Mathematics 170A; open to graduate students. Students may receive credit for only two of following: course 100A, former course 110A, Biostatistics 100A. Probability distributions, random variables, vectors, and expectation. P/NP or letter grading.

Review Summary

Clarity
3.3 / 10
Organization
6.7 / 10
Time
10-15 hrs/week
Overall
3.3 / 10

Reviews

    Quarter Taken: Summer 2021 Online
    Grade: A+

    The workload of this class is not too light for a summer course, and make sure you manage your time on exams well. However overall this class was not the worst class I've taken.

    Quarter Taken: Fall 2022 Online
    Grade: B

    Extremely difficult class, do everything in your power to steer clear of this professor as the class is not well organized and takes a mental toll on you!

    Quarter Taken: Fall 2022 Online
    Grade: A-

    Make sure you practice the material constantly. During the lectures, you don't do many examples so I would recommend self-studying and attending discussion section

    Quarter Taken: Fall 2022 Online
    Grade: A-

    Strongly recommended to use her textbook and watch video lectures to prepare for midterms and finals. Offer extra credit during discussion sections. However, I do not recommend this class unless you need it for your major requirements

    Quarter Taken: Spring 2023 In-Person
    Grade: A

    This class ranged from okay to frustrating. Dr. Sanchez can sometimes give funny, interesting lectures, but other times she rambles on and wastes time. She claims to be organized, but her Canvas organization is convoluted and makes it easy to miss assignments or supplementary material. She expects strict adherence to her often vague or contradictory rules. Participation in lecture was required with some lecture assignments, and she would dock participation points for no clear reason. There were 2 quizzes a week and a homework roughly every other week, so essentially there were 2-3 long homework assignments a week. These assignments could take 2+ hours each, so be prepared to spend a decent amount of time on this class. There were also weekly required discussion posts and miscellaneous assignments. There were a lot of typos in the textbook (which she wrote), on quizzes, and on the course website. This class also has a groupwork component, and she will harass you about the whereabouts of your group members during class and over emails (if you don't CC them on emails you send her). There is a big-ish group project that involves a report and statistics analysis with R, so try to get a good group--she holds the whole group responsible for issues. She has strict grade boundaries with no curve. Despite my general annoyance with this class, the material was mostly easy to understand with some self-study, and an A is still achievable even if you miss some of her instructions/assignments. She also allows you to drop the lowest 2 quiz grades and lets you miss 1-2 discussions. She's not the worst teacher ever or anything like that, so if you have to take this class with her you will be fine. I still felt I learned the material well and learned a few interesting stats topics, so I don't regret taking it with Dr. Sanchez.

Course

Instructor
Juana Sanchez
Previously taught
23S 23W 22F 22Su 22S 22W 21F 21Su 21S 21W 20F 20Su 20W 19F 19Su 19W 18F 18Su 18S 18W 17F 17Su 17S 17W 16F 16Su 16W 15F 15S 14F 14S 14W 13F 13W 12F 12W 11F 11W 10F 10W 09F 08F 07F

Grading Information

  • Has a group project

  • Attendance required

  • 1 midterm

  • 10th week final

  • 100% recommend the textbook