Fall 2026

Topics in Literary and Cultural Theory

ENGL 822 is a graduate-level course focusing on the study of specific topics within literary and cultural theory.

offering recorded3 credits

Summary

1 / 3

Recent recorded grades — Spring 2023: 3.95 GPA, 100.0% A/AB (n=10 letter grades); Spring 2024: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Fall 2025: 3.88 GPA, 88.2% A/AB (n=17 letter grades).

Grade history

average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
ENGL 822

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Graduate/professional standing

Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 3.41/5 from 41 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

Recent recorded grades — Fall 2021: 4.00 GPA, 100.0% A/AB (n=12 letter grades).

/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 3.06/5 from 49 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

Recent recorded grades — Spring 2018: 4.00 GPA, 100.0% A/AB (n=14 letter grades); Spring 2019: 4.00 GPA, 100.0% A/AB (n=11 letter grades); Fall 2025: 3.88 GPA, 88.2% A/AB (n=17 letter grades).

Historical instructors & teaching patterns

FREDERIC NEYRAT is recorded teaching in Fall 2021. Recorded history may be incomplete and does not establish a future schedule.

RAMZI FAWAZ is recorded teaching in Fall 2015, Spring 2018, Spring 2019, Spring 2023, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction12 / 150
LEC 002Classroom Instruction17 / 150
LEC 003Classroom Instruction14 / 150

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records

Student experience

the class

Recent recorded grades — Spring 2023: 3.95 GPA, 100.0% A/AB (n=10 letter grades); Spring 2024: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Fall 2025: 3.88 GPA, 88.2% A/AB (n=17 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Literary theory
  • Cultural theory

Grades

Latest available · Fall 2025— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Not enough comparable courses for Fall 2026 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

Selected offering source records
ENGL 822 · Fall 2026

Topics in Literary and Cultural Theory

Recorded 2026-09-07
ENGL 822 · Fall 2026

Theory as Experience

Recorded 2026-09-07
ENGL 822 · Fall 2026

Resisting Realism

Recorded 2026-09-07
ENGL 822 · Fall 2026

Popular Culture

Recorded 2026-09-07
Raw records
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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
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