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You are looking at Fall 2025. That term is over, so these are last term's numbers rather than seats you can take. dibs holds 1,964 sections for Fall 2025, read about 1 month ago. Separately, it has finished 527 of the 3,572 courses on its current checking list for this term. Future-term coverage is incomplete, so a course with nothing here may simply not have been reached yet. Back to Fall 2026

CLUSTER 10B

Data, Justice, and Society

Sections & times

This is a year, not a class

Clusters run across three quarters, fall, winter, then the spring seminar, and UCLA counts the credit on completing the yearlong cluster: four GE requirements and the Writing II requirement. Signing up for the first quarter is signing up for the year.

  1. 10A
  2. 10B: you are here
  3. 10CW
  4. 10WX

Dibs only reads Fall 2025, so the later parts show no sections here: that is this term, not the sequence ending. What you keep if you take only part of a cluster is a question for the Cluster Program, not something these numbers answer.

Grades

3.87

Average grade awarded in CLUSTER 10B. Not a student rating: this is what the grades were.

In the A range

91%

of the 320 letter grades

D, F or W

0.6%

of every letter grade awarded, plus withdrawals

Taken pass/no pass

0%

nobody in the record took it pass/no pass

The registrar's own records: 320 grades over 2 terms, Fall 2021 to Fall 2025. Every instructor is pooled here.

What is inside that record

No summer session is in that record.

The table below splits them, and term averages across those 2 terms ran 3.83 to 3.91.

Historical grades for all professors, across recorded terms. The course summary above includes all professors.

  • A+ 61 · 19.1%
  • A 182 · 56.9%
  • A- 49 · 15.3%
  • B+ 18 · 5.6%
  • B 6 · 1.9%
  • B- 2 · 0.6%
  • D 1 · 0.3%
  • F 1 · 0.3%

Percentages are of the 320 letter grades. Grey bars are non-letter outcomes.

How the non-letter outcomes are counted

They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.

By instructor

Predicted GPA, raw average, sample size, terms, A range and the workload reviewers reported for every instructor with a grade record in this course
Instructor Predicted GPA Raw n Terms A range Workload Fall 2025
BHAUMIK, MUNIA reviews ↗ 3.87 3.87 320 2 91% - not teaching it
WILLIAMS, JULIET A reviews ↗ 3.87 3.87 320 2 91% light not teaching it
NOBLE, SAFIYA U reviews ↗ 3.90 3.91 162 1 93% - not teaching it
POSNER, MIRIAM reviews ↗ 3.90 3.91 162 1 93% - not teaching it
ROBERTS, SARAH T reviews ↗ 3.90 3.91 162 1 93% - not teaching it
PANAGIA, DAVIDE reviews ↗ 3.83 3.83 158 1 90% - not teaching it
SRINIVASAN, RAMESH reviews ↗ 3.83 3.83 158 1 90% - not teaching it
PRESNER, TODD S reviews ↗ 3.83 3.83 158 1 90% very light not teaching it
Why Predicted is not the Raw average

“Predicted” is shrunk toward the course average, which is itself shrunk toward the department, so an instructor with a handful of students sits near the course mean rather than topping the list.

Grade records describe outcomes. For what a course is like to take, read student reviews written on dibs below or follow the separate external review link.

Reviews for CLUSTER 10B

Workload and assignments

Work types reported in BruinWalk reviews of this course, across recorded instructors and terms. They may differ from this term's syllabus.

dibs has read this course’s reviews and none of them say what kind of work it sets, so dibs has nothing to show rather than a guess. Read from 2 reviews 26 days ago. That is the reviewers being silent, and not a course that sets no work.

Read the source reviews

What comes first

dibs has not read a class page for CLUSTER 10B in any term it holds, so it cannot say what comes before it.

Counted in courses rather than quarters: dibs does not know which of them a department lets you take together.

From the registrar's catalog

Lecture, three hours; discussion, two hours. Requisite: course 10A. Limited to first-year students. Data-based computation (i.e., algorithms, artificial intelligence, predictive modeling) increasingly play a dominant role in shaping everyday experiences of culture and society. Data and data analytics define everything from social relations and public policy to juridical status and market logistics. Study pursues thinking about ethics and justice in a data-driven society but focus on concrete case studies. Students gain critical understanding of technology sector, and also learn of community-engaged models of deploying data skills for social justice. P/NP or letter grading.

Sections in Fall 2025

dibs has not read Fall 2025 for this course, so it cannot say whether it runs. dibs reads the term you are enrolling in first and the rest a little at a time; the registrar's own listing is the answer until this one catches up.

From the people who took it

Student reviews

What taking CLUSTER 10B was like: the work, the teaching, and what students wish they’d known.

Your experience could be the first.

No student reviews are available to read on dibs for this course yet. Took it? Tell the next person what helped, what was hard, and how you spent your time.

Looking for more perspectives?

External reviews are separate and do not count toward the dibs rating.

Read reviews on BruinWalk

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