Skip to content
Dibs Fall 2026

A&O SCI 1

Climate Change: From Puzzles to Policy

Lecture, three hours; discussion, one hour. Overview of fundamentals of Earth's climate, including greenhouse effect, water and chemical cycles, outstanding features of atmospheric and ocean circulation, and feedback between different system components. Exciting and contentious scientific puzzles of climate system, including causes of ice ages, greenhouse warming, and el niño. Importance of climate science and prediction to society, with emphasis on science's role in identifying, qualifying, and solving environmental problems such as ozone hole and greenhouse warming. P/NP or letter grading.

Course statistics

Predicted GPA
3.14
n = 1,128 · 9 terms · ± 0.016
A range
48%
of letter grades
Taken P/NP
7%
78% of those passed
D / F / W
8.1%
incl. withdrawals

Sections in Fall 2026

Sections offered, with live enrollment and predicted GPA
Section Status Enrolled Seat risk Meets Instructor Predicted GPA
Lec 1 Open
122 of 180
68% full
 could fill TR 3:30pm-4:45pm Seibt, U., TA
3.18n=485 · this instructor

Enrollment history

Final enrollment per term, averaged across that term's sections. Four years deep, summer excluded. Per-section live curves are on each section page.

  • 9321F
  • 10522W
  • 11022F
  • 25524W
  • 12324S
  • 9524F
  • 25025W
  • 6525S
Enrolment by term: 21F 93, 22W 105, 22F 110, 24W 255, 24S 123, 24F 95, 25W 250, 25S 65
Peak 255 Most recent 65 in 25S 8 terms on record

Grade distribution

  • A+ 141 · 11.5%
  • A 238 · 19.5%
  • A- 159 · 13.0%
  • B+ 139 · 11.4%
  • B 116 · 9.5%
  • B- 87 · 7.1%
  • C+ 53 · 4.3%
  • C 58 · 4.7%
  • C- 48 · 3.9%
  • D+ 28 · 2.3%
  • D 27 · 2.2%
  • D- 7 · 0.6%
  • F 27 · 2.2%
  • P 68 · 5.6%
  • NP 19 · 1.6%
  • S 1 · 0.1%
  • I 5 · 0.4%
  • DR 2 · 0.2%

Grey bars are non-letter outcomes — P/NP, S/U, incompletes. 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 Raw n Terms A range
SEIBT, ULRIKE 3.18 3.18 485 2 48%
BIANCHI, DANIELE 2.99 2.98 297 3 43%
FU, RONG 3.23 3.24 169 2 57%
BAIJNATH-RODINO, JANINE ANN 2.89 2.86 92 1 33%
PAULSON, SUZANNE E 3.44 3.48 85 1 60%

“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.

By term