Fall 2026

Chemical Principles of Environmental Engineering

CIVENGR 722 applies chemical principles to environmental engineering processes for treating water, air, and soil.

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

Summary

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Recent recorded grades — Spring 2019: 3.81 GPA, 81.2% A/AB (n=16 letter grades); Fall 2023: 3.71 GPA, 78.6% A/AB (n=14 letter grades); Fall 2025: 3.88 GPA, 92.3% A/AB (n=13 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
CIVENGR 722

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

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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 — Spring 2019: 3.81 GPA, 81.2% A/AB (n=16 letter grades); Fall 2023: 3.71 GPA, 78.6% A/AB (n=14 letter grades); Fall 2025: 3.88 GPA, 92.3% A/AB (n=13 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • General, physical, equilibrium, colloid, and biochemistry
  • Water, air, and soil treatment

Skills

  • Evaluate environmental quality and treat water, air, and soil

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

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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": "08d55542c4568b8db9eded8ca55ef6ee41401889d25f87d2709bb34fa37449a9",
  "requirements_status": "needs_review",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}