INF STD 262A
Data Management and Practice
Lecture.
Fall 2026: 1 section. Nothing here is open. The oldest of these readings was 14 hours ago.
Grades
3.94
Average grade awarded in INF STD 262A. Not a student rating: this is what the grades were.
In the A range
95%
of the 42 letter grades
D, F or W
0.0%
of every letter grade awarded, plus withdrawals
Taken pass/no pass
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the registrar has this letter grade only this term
The registrar's own records: 42 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 3.90 to 4.00.
Historical grades for MARA, ALICIA, across recorded terms. The course summary above includes all professors.
- A+ 12 · 46.2%
- A 9 · 34.6%
- A- 3 · 11.5%
- B+ 1 · 3.8%
- B 1 · 3.8%
Percentages are of the 26 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
| Instructor | Predicted GPA | Raw | n | Terms | A range | Workload | Fall 2026 |
|---|---|---|---|---|---|---|---|
| MARA, ALICIA reviews ↗ | 3.91 | 3.90 | 26 | 1 | 92% | - | Closed by the department |
| FURNER, JONATHAN reviews ↗ | 3.96 | 4.00 | 16 · | 1 | 100% | - | 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.
Workload and assignments
Reported assignments across instructors and terms. This term's syllabus may differ.
No reviews were listed in the BruinWalk source checked 7 days ago. Assignment details are unknown. Check the current syllabus.
From the registrar's catalog
Lecture, three and one half hours. Designed for MLIS and PhD students. Survey of landscape of data practices and services, including data-intensive research methods; social studies of data practices; comparisons between disciplines; management of data by research teams, data centers, libraries, and archives; practices of data sharing and reuse; and introduction to national and international policy for stewardship of data. Assessment of data archiving needs of one research community and group project to develop real data management plan in partnership with UCLA researchers in other academic departments. Letter grading.
Sections in Fall 2026
Seat counts as of . Seat readings are snapshots, not live availability. Their timestamps show when dibs last checked.
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Seats
Closed by the department31 enrolled
Seat risk
no history
Final enrollment, averaged across each term's sections: between 16 and 26 a term over 2 terms, summer excluded, most recently 26 in Fall 2025. That is the shape across years, not this term, which is above.
From the people who took it
Student reviews
What taking INF STD 262A 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.
Seats over time in Fall 2026
How each lecture has filled since dibs first saw it.
A dot is a reading where something moved: the seat count, the status, or the waitlist.
What a flat run means, and where a line starts
Flat between dots means it did not drift, it held and then jumped, and a line starts when dibs first saw that lecture rather than reaching back before it existed. A lecture that has never moved draws a flat line across the whole window, and one with two or three readings draws a line joining them, which is too few to read a trend from.
Lec 1 · Mara, A. · 31 enrolled
Nothing read since 17 Oct, 14 hours ago. Over about 2 months before that, filled by 2.
How readings and alerts work
Dated seat counts can be available even when hourly check history is missing. Gaps do not show whether seats changed between observations.
Seat counts show the last successful read, not live availability. Refreshes can be delayed by request limits or upstream interruptions. Watched sections receive priority, but an hourly update for every section is not guaranteed.
The registrar can change a seat count between our checks. Alerts depend on dibs detecting an opening and completing delivery; a quiet watch does not prove that no seat opened. Check the registrar before enrolling.