Safiya Umoja Noble
Department of Information Studies
AD
5.0
Overall Rating
Based on 1 User
Easiness 4.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 4.0 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 4.0 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 5.0 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Engaging Lectures
  • Appropriately Priced Materials
  • Snazzy Dresser
  • Often Funny
  • Participation Matters
  • Gives Extra Credit
  • Would Take Again
  • Has Group Projects
GRADE DISTRIBUTIONS
85.7%
71.4%
57.1%
42.9%
28.6%
14.3%
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.

AD

Reviews (1)

1 of 1
1 of 1
Add your review...
Quarter: Winter 2021
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.
March 30, 2021

I'm surprised no one has any reviews on Professor Noble yet — she's actually a legend.

Not only is she well-established in her field, seminar formats & smaller class sizes mean you really get to "walk among giants," so to speak. INFO 118 is capped to about 30 people, and that means the class has a lot of group discussion, deep dives, and opportunities for Prof. Noble to speak about her work and that of her colleagues. Despite the remote format, I think the structure of her Zooms worked well to re-create that seminar feel, and Professor Noble is actually one of the nicest and most responsive professors I've met.

INFO 118 is a Data Ethics course, but it also focuses on Tech Ethics, tech's role as an ICT, and also features concepts from sociology and critical theory. There's a lot of reading, mostly papers, podcasts, and the occasional film, but it's manageable, and the grading is very fair. Winter 2021 was actually the first time the course met — and I think the mix of upperclassmen from many disciplines and grad students created an interesting mix of lived experiences that really made this class unique.

If you are a stats/CS/math of comp/etc. major, PLEASE take this course if you're considering a DS or CS career. I took it coming from a stats background, and it was definitely far from "home," but was such a good exposure to the personal and societal ramifications of some career choices I had considered. Criticizing Big Tech certainly isn't new, and is gaining steam — but this was eye-opening in a totally different way.

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 2021
Grade: A
March 30, 2021

I'm surprised no one has any reviews on Professor Noble yet — she's actually a legend.

Not only is she well-established in her field, seminar formats & smaller class sizes mean you really get to "walk among giants," so to speak. INFO 118 is capped to about 30 people, and that means the class has a lot of group discussion, deep dives, and opportunities for Prof. Noble to speak about her work and that of her colleagues. Despite the remote format, I think the structure of her Zooms worked well to re-create that seminar feel, and Professor Noble is actually one of the nicest and most responsive professors I've met.

INFO 118 is a Data Ethics course, but it also focuses on Tech Ethics, tech's role as an ICT, and also features concepts from sociology and critical theory. There's a lot of reading, mostly papers, podcasts, and the occasional film, but it's manageable, and the grading is very fair. Winter 2021 was actually the first time the course met — and I think the mix of upperclassmen from many disciplines and grad students created an interesting mix of lived experiences that really made this class unique.

If you are a stats/CS/math of comp/etc. major, PLEASE take this course if you're considering a DS or CS career. I took it coming from a stats background, and it was definitely far from "home," but was such a good exposure to the personal and societal ramifications of some career choices I had considered. Criticizing Big Tech certainly isn't new, and is gaining steam — but this was eye-opening in a totally different way.

Helpful?

0 0 Please log in to provide feedback.
1 of 1
5.0
Overall Rating
Based on 1 User
Easiness 4.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 4.0 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 4.0 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 5.0 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Engaging Lectures
    (1)
  • Appropriately Priced Materials
    (1)
  • Snazzy Dresser
    (1)
  • Often Funny
    (1)
  • Participation Matters
    (1)
  • Gives Extra Credit
    (1)
  • Would Take Again
    (1)
  • Has Group Projects
    (1)
ADS