Fall 2026

Dynamical Systems

MATH 807 covers the qualitative behavior of continuous and discrete dynamical systems, including Hamiltonian systems and chaotic behavior.

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

Summary

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Recent recorded grades — Spring 2018: 3.71 GPA, 82.4% A/AB (n=17 letter grades); Spring 2023: 3.93 GPA, 100.0% A/AB (n=14 letter grades).

Grade history

average GPA
letter grades
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All recorded terms · compare terms & instructors

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 807

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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 — Spring 2018: 3.71 GPA, 82.4% A/AB (n=17 letter grades); Spring 2023: 3.93 GPA, 100.0% A/AB (n=14 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Continuous and discrete dynamical systems
  • Hamiltonian systems
  • Periodic and almost periodic solutions
  • Poincare and Birkhoff fixed point theorem
  • Invariant curves and KAM theory
  • Celestial mechanics
  • Chaotic behavior

Skills

  • Analyze qualitative behavior of dynamical systems
  • Study Hamiltonian systems
  • Apply fixed point theorems and KAM theory
  • Examine chaotic behavior and celestial mechanics

Grades

Latest available · Spring 2023— 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 2023

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": "d8bc981f1ddaeb2d56458ab86fd0a83e0eb1b39853535a5b0da46f7d6d5e86fd",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}