Fall 2026

Spanish Applied Linguistics

SPANISH APPLIED LINGUISTICS covers second language acquisition theories and the specific linguistic challenges Spanish poses to English speakers.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

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Recent recorded grades — Fall 2021: 3.85 GPA, 100.0% A/AB (n=17 letter grades); Fall 2022: 3.62 GPA, 84.6% A/AB (n=13 letter grades); Spring 2024: 3.74 GPA, 84.2% A/AB (n=19 letter grades).

Grade history

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average GPA
letter grades
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AB
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Prerequisites

Course map

SPANISH 225

SPANISH 331

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Prerequisite text tree

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Fall 2026

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Meeting source records

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Student experience

the class

Recent recorded grades — Fall 2021: 3.85 GPA, 100.0% A/AB (n=17 letter grades); Fall 2022: 3.62 GPA, 84.6% A/AB (n=13 letter grades); Spring 2024: 3.74 GPA, 84.2% A/AB (n=19 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Second language acquisition theories and processes
  • Linguistic challenges of Spanish structures for English speakers

Skills

  • Understanding second language acquisition theories
  • Analyzing linguistic challenges for English speakers learning Spanish

Grades

Latest available · Spring 2024— 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 Spring 2024

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

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Student reviews

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Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "d1b48e23ce7d175da5b777333667327a70aedb0fba8b54d1cde5c9f7197fac04",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}