Fall 2026

Groundwater Hydraulics

CIVENGR 412 teaches engineering fundamentals of groundwater flow, focusing on 2-D steady-state analytical models, transient modeling, hydraulic testing, and numerical methods.

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

Summary

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Recent recorded grades — Spring 2017: 3.53 GPA, 66.7% A/AB (n=15 letter grades); Spring 2019: 3.50 GPA, 66.7% A/AB (n=15 letter grades); Spring 2025: 3.64 GPA, 71.4% A/AB (n=7 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

CIV ENGR 311,GEOSCI/​G L E 627, graduate/professional standing, or member of Engineering Guest Students

CIVENGR 412

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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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Student experience

the class

Recent recorded grades — Spring 2017: 3.53 GPA, 66.7% A/AB (n=15 letter grades); Spring 2019: 3.50 GPA, 66.7% A/AB (n=15 letter grades); Spring 2025: 3.64 GPA, 71.4% A/AB (n=7 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • 2-D steady-state analytical groundwater flow models.
  • Transient groundwater flow modeling.
  • Hydraulic testing methods.
  • Numerical modeling.

Skills

  • Developing and implementing 2-D steady-state analytical groundwater flow models.
  • Transient groundwater flow modeling.
  • Hydraulic testing methods.
  • Numerical modeling of groundwater flow.

Grades

Latest available · Spring 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 Spring 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.

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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": "cefe53e7a32a92225cf0144f9dc036fa025ed608d2cc68900e2e33d1f67bf17e",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}