Fall 2026

Topics in Differential Topology

MATH 856 covers topics in differential topology, including manifolds, forms, Lie groups, and fiber bundles.

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

Summary

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Recent recorded grades — Fall 2015: 4.00 GPA, 100.0% A/AB (n=21 letter grades); Fall 2017: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Fall 2021: 4.00 GPA, 100.0% A/AB (n=15 letter grades).

Grade history

average GPA
letter grades
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Prerequisites

Course map

Graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program

    • Graduate/professional standing
    • member of the Pre-Masters Mathematics (Visiting International) Program
    take one
MATH 856

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

Prerequisite text tree
  • Any of
    • Graduate/professional standing
    • member of the Pre-Masters Mathematics (Visiting International) Program

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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Student experience

the class

Recent recorded grades — Fall 2015: 4.00 GPA, 100.0% A/AB (n=21 letter grades); Fall 2017: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Fall 2021: 4.00 GPA, 100.0% A/AB (n=15 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Differential manifolds and de Rham theorem
  • Cobordism groups
  • Lie groups, homogeneous spaces, and fiber bundles

Skills

  • Understanding differential manifolds, forms, and theorems
  • Analyzing advanced topological structures and groups

Grades

Latest available · Fall 2021— 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 2021

More grade details Grade mix, volume & source data

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Sources & history

UW–Madison

Catalog & offerings

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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
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "ee4a8725e4dbef7833cfe02e8917b72d25b637c78f7777c54cb8184c06a2ee9d",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}