William Grisham
Department of Neuroscience
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2.4
Overall Rating
Based on 12 Users
Easiness 2.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 2.3 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 1.8 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 2.4 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Appropriately Priced Materials
  • Snazzy Dresser
  • Would Take Again
  • Uses Slides
  • Engaging Lectures
  • Often Funny
  • Gives Extra Credit
  • Has Group Projects
GRADE DISTRIBUTIONS
39.5%
32.9%
26.4%
19.8%
13.2%
6.6%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

22.7%
18.9%
15.2%
11.4%
7.6%
3.8%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

27.3%
22.7%
18.2%
13.6%
9.1%
4.5%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

24.4%
20.4%
16.3%
12.2%
8.1%
4.1%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

30.4%
25.4%
20.3%
15.2%
10.1%
5.1%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

23.7%
19.7%
15.8%
11.8%
7.9%
3.9%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

29.8%
24.8%
19.9%
14.9%
9.9%
5.0%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

ENROLLMENT DISTRIBUTIONS
Clear marks

Sorry, no enrollment data is available.

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Reviews (4)

1 of 1
1 of 1
Add your review...
Quarter: Winter 2022
Grade: A
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
Verified Reviewer This user is a verified UCLA student/alum.
April 7, 2022

Overall, I really liked Neuro101L! I thought Dr. Grisham was funny and brought a good energy to our 9AM classes when everyone was super tired. I liked the format of his module and how the work we did in each lab was used in our "midterm/final". While the final was super long (mine turned out to be roughly 15-17 pages on Word), I felt like I learned a lot about statistical analyses of the brain and I enjoyed the work, even if it was a bit tedious.

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Quarter: Winter 2021
Grade: A+
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
April 5, 2021

Dr Grisham is an awesome professor. His lectures are engaging but he can be a bit vague about what he wants you to have in the reports but he holds office hours every week and also an extra OH on the week that the reports are due so if you attend those you will be fine. He is also pretty generous with the extra credits. Overall the workload is heavy but it is doable as long as you attend the labs and follow the exact instructions for the reports.

Helpful?

0 0 Please log in to provide feedback.
Quarter: Winter 2018
Grade: A-
Verified Reviewer This user is a verified UCLA student/alum.
June 21, 2018

Grisham taught the first half of the quarter, and Babiec taught the second. I think they're both good profs, but the class itself was just okay. The labs weren't as stressful as chem 14BL/CL, and they explicitly tell you a lot about what to include in the write-ups. The data from the entire class is pooled together to analyze, so there's less pressure. On the other hand, I felt like the lectures were a missed opportunity to learn more about the experiments, and instead focused too much on the write-up, which could've just been posted as instructions. `The TAs were pretty helpful and the grading was decent, so if you're a neuro major doing this for the capstone req I would say just don't stress, it's fine.

Helpful?

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Quarter: Winter 2017
Grade: A
March 22, 2017

Neuro 101L is a pretty cool class. To be honest, I don't feel like I learned a lot that was new in terms of neuroscience material, but doing the lab write-ups have been pretty helpful in understanding how publications are written. Word of advice: know your statistics, it will come in handy! I took Stats 10 two years ago and forgot most of the material, which came back to bite me in the behind since I had to spend a couple of hours reading up on ANOVA and F-scores and whatnot. Another word of advice: make sure to play close attention to anytime you see or hear the word 'pre-lab.' Sometimes he'll notify you by e-mail about it, sometimes it'll be on the syllabus as well, but there were a couple of times where it was only mentioned briefly in class and the actual assignment wasn't made very clear, so some students ended up not doing the pre-lab correctly (or didn't do it at all) and missed points for it.

In terms of lecture, I thought going to class was helpful, but not particularly mandatory especially on days where he just lectured on what to include in your lab report, since all the info is in the slides. He did give out cookies on the last day though, so I'm kind of bummed I missed out that day... :( From what I remember, this was the same for the other modules taught by Walwyn and Ghiani, although I did think their material was interesting and worth hearing about in class.

It's a pretty easy A if you show up to lab and do the work. Labs can be tedious/not very interesting at times (or gross--thinking about the cricket module makes me shudder), but Grisham keeps things lively and will crack a joke every now and then. So I'd definitely recommend Grisham for 101L...not that you have any other choice anyway ;)

Helpful?

0 0 Please log in to provide feedback.
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Winter 2022
Grade: A
April 7, 2022

Overall, I really liked Neuro101L! I thought Dr. Grisham was funny and brought a good energy to our 9AM classes when everyone was super tired. I liked the format of his module and how the work we did in each lab was used in our "midterm/final". While the final was super long (mine turned out to be roughly 15-17 pages on Word), I felt like I learned a lot about statistical analyses of the brain and I enjoyed the work, even if it was a bit tedious.

Helpful?

0 0 Please log in to provide feedback.
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
Quarter: Winter 2021
Grade: A+
April 5, 2021

Dr Grisham is an awesome professor. His lectures are engaging but he can be a bit vague about what he wants you to have in the reports but he holds office hours every week and also an extra OH on the week that the reports are due so if you attend those you will be fine. He is also pretty generous with the extra credits. Overall the workload is heavy but it is doable as long as you attend the labs and follow the exact instructions for the reports.

Helpful?

0 0 Please log in to provide feedback.
Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Winter 2018
Grade: A-
June 21, 2018

Grisham taught the first half of the quarter, and Babiec taught the second. I think they're both good profs, but the class itself was just okay. The labs weren't as stressful as chem 14BL/CL, and they explicitly tell you a lot about what to include in the write-ups. The data from the entire class is pooled together to analyze, so there's less pressure. On the other hand, I felt like the lectures were a missed opportunity to learn more about the experiments, and instead focused too much on the write-up, which could've just been posted as instructions. `The TAs were pretty helpful and the grading was decent, so if you're a neuro major doing this for the capstone req I would say just don't stress, it's fine.

Helpful?

0 0 Please log in to provide feedback.
Quarter: Winter 2017
Grade: A
March 22, 2017

Neuro 101L is a pretty cool class. To be honest, I don't feel like I learned a lot that was new in terms of neuroscience material, but doing the lab write-ups have been pretty helpful in understanding how publications are written. Word of advice: know your statistics, it will come in handy! I took Stats 10 two years ago and forgot most of the material, which came back to bite me in the behind since I had to spend a couple of hours reading up on ANOVA and F-scores and whatnot. Another word of advice: make sure to play close attention to anytime you see or hear the word 'pre-lab.' Sometimes he'll notify you by e-mail about it, sometimes it'll be on the syllabus as well, but there were a couple of times where it was only mentioned briefly in class and the actual assignment wasn't made very clear, so some students ended up not doing the pre-lab correctly (or didn't do it at all) and missed points for it.

In terms of lecture, I thought going to class was helpful, but not particularly mandatory especially on days where he just lectured on what to include in your lab report, since all the info is in the slides. He did give out cookies on the last day though, so I'm kind of bummed I missed out that day... :( From what I remember, this was the same for the other modules taught by Walwyn and Ghiani, although I did think their material was interesting and worth hearing about in class.

It's a pretty easy A if you show up to lab and do the work. Labs can be tedious/not very interesting at times (or gross--thinking about the cricket module makes me shudder), but Grisham keeps things lively and will crack a joke every now and then. So I'd definitely recommend Grisham for 101L...not that you have any other choice anyway ;)

Helpful?

0 0 Please log in to provide feedback.
1 of 1
2.4
Overall Rating
Based on 12 Users
Easiness 2.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 2.3 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 1.8 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 2.4 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Appropriately Priced Materials
    (2)
  • Snazzy Dresser
    (1)
  • Would Take Again
    (3)
  • Uses Slides
    (3)
  • Engaging Lectures
    (2)
  • Often Funny
    (2)
  • Gives Extra Credit
    (2)
  • Has Group Projects
    (2)
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