Fall 2026

Hydroscience

CIVENGR 311 introduces hydroscience, covering the water cycle, conservation, and fundamentals of hydrology, hydraulics, and water resources.

offering recorded3 credits
Recorded instructors · Fall 2026 Daniel Wright3.5/5

Summary

1 / 4

Recent recorded grades — Spring 2025: 2.96 GPA, 35.8% A/AB (n=53 letter grades); Fall 2025: 2.95 GPA, 36.1% A/AB (n=61 letter grades); Spring 2026: 3.05 GPA, 47.3% A/AB (n=74 letter grades).

Grade history

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

All recorded terms · compare terms & instructors

Prerequisites

Course map

MATH 222, graduate/professional standing, or member of Engineering Guest Students

    • MATH 222
    • graduate/professional standing
    • member of Engineering Guest Students
    take one
CIVENGR 311 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
  • Any of
    • MATH 222
    • graduate/professional standing
    • member of Engineering Guest Students

Professors

Fall 2026
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 2.75/5 from 4 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

Recent recorded grades — Spring 2024: 3.01 GPA, 29.1% A/AB (n=55 letter grades); Spring 2025: 2.96 GPA, 35.8% A/AB (n=53 letter grades); Spring 2026: 3.05 GPA, 47.3% A/AB (n=74 letter grades).

Historical instructors & teaching patterns

DANIEL WRIGHT is recorded teaching in Spring 2018, Spring 2019, Spring 2020, Fall 2021, Spring 2022, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

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

Calendar & sections

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction81 / 902
LAB 301Classroom Instruction20 / 212
LAB 303Classroom Instruction20 / 210
LAB 305Classroom Instruction20 / 210
LAB 302Classroom Instruction21 / 210
LAB 304Classroom Instruction0 / 00

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

Meeting source records
Download part 1

Student experience

the class

Recent recorded grades — Spring 2025: 2.96 GPA, 35.8% A/AB (n=53 letter grades); Fall 2025: 2.95 GPA, 36.1% A/AB (n=61 letter grades); Spring 2026: 3.05 GPA, 47.3% A/AB (n=74 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Water cycle
  • Hydrology
  • Hydraulics
  • Coastal engineering
  • Water resources engineering

Skills

  • Understanding the water cycle and its environmental relationships.
  • Fundamentals of hydrology, hydraulics, coastal engineering, and water resources engineering.

Grades

Historical instructor

Fall 2026 · Projected

Before grades are released

– average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

8 earlier forecasts · 0.07 GPA average error.

Grades over time

Through Fall 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1283 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

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.

Download part 1
Selected offering source records
CIVENGR 311 · Fall 2026

Hydroscience

Recorded 2026-09-07
Raw records 
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:240:003307",
    "course_id": "CIVENGR 311",
    "course_uid": "course_6c8c8bf34229e7a7343febc8",
    "term_id": "1272",
    "source_course_id": "003307",
    "source_subject_id": "240",
    "title": "Hydroscience",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring"
  }
]
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
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
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "35629c1879bf795cc09f5f70e4b6b890b3347e2c9c34a401e6f64b22614492dd",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}