MATLAB Programming for Behavioral Sciences

Lecture, two hours; laboratory, one hour. Prior programming experience not required. Introduction to MATLAB and programming methods useful in experimental psychology. Reading and writing of code for conducting experiments, analyzing data, and modeling. P/NP or letter grading.

Review Summary

Clarity
8.3 / 10
Organization
8.3 / 10
Time
0-5 hrs/week
Overall
8.3 / 10

Reviews

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

    Psych 20A is an easier coding class compared to CS and PIC series, both because of it's about Matlab and because it doesn't have exams. However, as someone who cannot code at all, I do find it a bit challenging. I found study groups and office hours extremely helpful. Labs weren't too helpful for me but I think it depends on the TA.

    Quarter Taken: Spring 2023 In-Person
    Grade: A-

    Professor Frane is the best professor. He really wants you to succeed. He provides many resources to succeed.

    Quarter Taken: Spring 2023 In-Person
    Grade: A

    Class is easier than other coding classes but you still need to put in work for assignments. You also need to attend half of the discussion for credit.

    Quarter Taken: Fall 2023 In-Person
    Grade: A+

    this class is completely homework based off of 10 weekly HWs as well as some opportunities for extra cred including SONA studies and 0.1pt for every discussion attended. i stopped going to lecture after the first few because he uploads the notes as a pdf and would just refer to that to get the homework done each week. they definitely ramped up in difficulty but still manageable. sections were a doozy and i only showed up to get the extra cred. overall a pretty chill class and it was really nice to not have to worry about exams.

    Quarter Taken: Winter 2024 In-Person
    Grade: A+

    Easiest computer science course I have taken while at UCLA. Only grades are homework grades which the lab sections and notebooks prepare you for! No final, no midterm, and attendence is not mandatory with all classes being recorded.

Course

Instructor
Andrew Frane
Previously taught
25W 24F 24S 24W 23F 23Su 23S 23W 22F 22S 22W

Grading Information

  • No group projects

  • Attendance required

  • No midterms

  • No final

  • 0% recommend the textbook

Previous Grades

Grade distributions not available.