Lecture, three hours; laboratory, two hours. Requisite: course 30A. Designed for life sciences students. Introduction to statistics with emphasis on computer simulation of chance probabilities as replacement for traditional formula-based approach. Simulations allow for deeper understanding of statistical concepts, and are applicable to wider class of distributions and estimators. Students learn simple programming language to carry out statistical simulations, and apply them to classic problems of elementary statistics. Letter grading.

Review Summary

Clarity
8.3 / 10
Organization
5.0 / 10
Time
5-10 hrs/week
Overall
8.3 / 10

Reviews

    Quarter Taken: Spring 2022 In-Person
    Grade: A+

    This class was honestly pretty disorganized, but it wasn't as bad as some people make it out to be. You definitely need to be self-sufficient in order to be successful in this class, which definitely might be difficult for some people. The labs are not required but seriously help with the homework assignments (I highly doubt you could finish the weekly homework on your own without the lab knowledge). The weekly homework is always a curveball, honestly. Some weeks I finished it in 40 minutes and some weeks it took me 4 hours. Going to office hours is definitely helpful for the homework because you are able to get some help from the instructors to debug your code and figure out what went wrong with this class. Homework is majorly graded on completion, which is nice. The lowest homework grade is dropped. There are two grade schemes for this class. Scheme 1 has 25% homework, 25% midterm, and 50% final exam. Scheme 2 has 25% homework, 75% final exam. The midterm was in person and was a written exam of about 7 questions. I was able to finish this exam in half of the allotted time, and most people did finish early. The final exam consisted of two parts-- a conceptual written exam taking in person during finals week, and an online open-note coding exam that was open during a 24 hour period (also in finals week). The coding exam was really easy as long as you had an idea for what to do. You could reference old homework and lab assignments to see the code you needed to do for each situation. Again, with the final exam, I was able to finish it in half of the allotted time. I felt that it was very fair, and most people finished early. In general, I feel like the class was really disorganized. It could benefit from more communication between instructors. One thing that really bothered me was that we had no homework grades at all until the week of the midterm (week 6). And by then, I only had one (yes, a singular assignment) graded. I had no idea what my grade was at all because 5 weeks worth of assignments were ungraded. By the time the final exam rolled around, I had four homework assignments graded. So once again, I had no idea what my grade was before I took the final exam. Additionally, nobody received their grade for this class until past the due date of final grades. I don't know why it took so long for our assignments to be graded. So if you're cool with not knowing your grade at all until after final grades are due, I totally recommend this class! Sarcasm aside, the class content is pretty straightforward and the coding isn't too difficult (many of the methods are repetitive, plus you can always reference old assignments if you need help getting to the answers). If you did well in 30A and 30B, you'll do well in this class.

Course

Instructor
Jane Shevtsov
Previously taught
22S

Grading Information

  • No group projects

  • Attendance not required

  • 1 midterm

  • Finals week final

  • 0% recommend the textbook

Previous Grades

Grade distributions not available.