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Dibs Fall 2026

COM LIT 4DW

Literature and Writing: Great Books from World at Large: Writing Exile and Alienation

Seminar, three hours. Enforced requisite: English Composition 3. Not open for credit to students with credit for course 1D or 2DW. Study and discussion of major literary texts usually overlooked in courses that focus only on canon of Western literature, with emphasis on literary analysis and expository writing. Texts may include the following areas: African, Caribbean, East Asian, Latin American, and Middle Eastern literature. Texts may include works by authors such as Achebe, Can Xue, Desai, Emecheta, Kincaid, Neruda, Ngugi, Pak, Rushdie, and El Saadawi. Analysis of texts includes focus on structures, processes, and practices that generate inter-group inequities or conflicts as well as those that support fairness and inclusiveness. Consult Schedule of Classes for topics to be offered in specific term. Satisfies Writing II requirement. Letter grading.

Course statistics

Predicted GPA
3.66
n = 328 · 9 terms · ± 0.030
A range
78%
of letter grades
Taken P/NP
0%
— of those passed
D / F / W
1.5%
incl. withdrawals

Sections in Fall 2026

Sections offered, with live enrollment and predicted GPA
Section Status Enrolled Seat risk Meets Instructor Predicted GPA
Sem 1 Closed
19 of 19
100% full
 fills TR 2:00pm-3:15pm TA, The Staff
3.66n=328 · course average

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.

  • 2321F
  • 2023W
  • 2123S
  • 2024W
  • 1924S
  • 2025W
  • 2125S
Enrolment by term: 21F 23, 23W 20, 23S 21, 24W 20, 24S 19, 25W 20, 25S 21
Peak 23 Most recent 21 in 25S 7 terms on record

Grade distribution

  • A+ 8 · 2.4%
  • A 152 · 45.5%
  • A- 97 · 29.0%
  • B+ 37 · 11.1%
  • B 19 · 5.7%
  • B- 2 · 0.6%
  • C+ 3 · 0.9%
  • C 5 · 1.5%
  • F 5 · 1.5%
  • I 6 · 1.8%

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
ROTHBERG, MICHAEL 3.63 3.63 153 5 73%
LEVITZ, TAMARA JUDITH-MARIE 3.71 3.72 133 3 85%
ARAUJO, JASON ALEXANDER 3.60 3.57 23 1 83%
MARTINEZ, NANCY 3.62 3.60 19 small sample 1 68%

“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