Hydrologic Design

Introduction to designing engineering structures that control or utilize runoff, focusing on sizing for hydrologic uncertainty using principles from hydrology, hydraulics, and statistics.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 3

Recent recorded grades — Spring 2013: 2.96 GPA, 35.7% A/AB (n=14 letter grades); Spring 2014: 3.19 GPA, 66.7% A/AB (n=18 letter grades); Spring 2015: 3.56 GPA, 75.0% A/AB (n=8 letter grades).

What you’ll be able to do

  • Explain the rationale for NRCS hydrologic methods and apply these methods to quantify the increase in runoff resulting from urbanization of a plot of land.

  • Describe contemporary low impact development practices and specific best management practices that help mitigate the adverse effects of urbanization on stormwater quantity and quality.

  • Utilize modeling software common to water resource engineering practice to design urban stormwater conveyance system components and best management practices.

  • Explain the key steps and considerations in the permitting, design, and management of stormwater infrastructure.

  • Estimate flood probabilities and risk, and describe strategies for managing the risk.

  • Describe contemporary stormwater and flooding issues and their impact on society and the natural environment.

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

G L E/​CIV ENGR 291 and CIV ENGR 311, graduate/professional standing, or member of Engineering Guest Students

CIVENGR 414 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.

Meeting source records

No records available.

Student experience

the class

Recent recorded grades — Spring 2013: 2.96 GPA, 35.7% A/AB (n=14 letter grades); Spring 2014: 3.19 GPA, 66.7% A/AB (n=18 letter grades); Spring 2015: 3.56 GPA, 75.0% A/AB (n=8 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Hydrology, hydraulics, probability, and statistics applied to engineering design.
  • Sizing structures to meet hydrologic uncertainty.
  • Low impact development practices and best management practices for stormwater.

Skills

  • Flood frequency analysis, risk analysis, design storm techniques, and rainfall-runoff modeling.
  • Using modeling software to design urban stormwater conveyance systems and best management practices.

Grades

Latest available · Spring 2015— not enough history to project Spring 2027.

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 2015

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

Selected offering source records

No offering records for the selected term.

Raw records
[]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews

No records available.

Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "52b1f33f758e05a491f2916988a492295b60a27c43505c8d445d24eff4774d40",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}