Fall 2026

Quantitative Genetics

ANSCI 610 covers quantitative genetics, focusing on statistical foundations, maternal and paternal effects, and selection theory.

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

Summary

Recent recorded grades — Fall 2021: 3.94 GPA, 100.0% A/AB (n=8 letter grades); Fall 2023: 4.00 GPA, 100.0% A/AB (n=3 letter grades).

Grade history

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average GPA
letter grades
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AB
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Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
ANSCI 610

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

Prerequisite text tree
  • Graduate/professional standing

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

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

Calendar & sections

Fall 2026

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SectionModeEnrolled / capacityWaitlist

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Meeting source records

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Student experience

the class

Recent recorded grades — Fall 2021: 3.94 GPA, 100.0% A/AB (n=8 letter grades); Fall 2023: 4.00 GPA, 100.0% A/AB (n=3 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Classical genetic theory and parental effects
  • Selection theory

Skills

  • Statistical analysis in genetics
  • Selection theory analysis

Grades

Latest available · Fall 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 Fall 2023

More grade details Grade mix, volume & source data

Sources & history

UW–Madison

Catalog & offerings

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Catalog observation history

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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

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": "e8626f4664eb2c01e5113dad28069978be38477ff2c255bf4cf9704252171b13",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}