Spring 2027

Data Sensing and Analysis in Construction

Data Sensing and Analysis in Construction covers onsite data capture, analysis, and visualization, focusing on 3D as-built modeling, visual detection of equipment/personnel, and mixed-reality site tours.

offering recorded3 credits
Recorded instructors · Spring 2027 Zhenhua Zhu

Summary

1 / 2

Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=6 letter grades).

What you’ll be able to do

  • Describe challenges related to data sensing and analysis in construction

  • Use computer tools to analyze and visualize construction project data and models

  • Identify, formulate and solve construction engineering and management problems with remote sensors

  • Critically evaluate sensing technologies and actively develop innovative solutions to improve construction safety, productivity and quality

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
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All recorded terms · compare terms & instructors

Prerequisites

Course map

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

    • CIVENGR/GLE 291
    • graduate/professional standing
    • member of Engineering Guest Students
    take one
CIVENGR 465

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

Prerequisite text tree
  • Any of
    • CIVENGR/GLE 291
    • graduate/professional standing
    • member of Engineering Guest Students

Professors

Spring 2027

Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=6 letter grades).

Historical instructors & teaching patterns

ZHENHUA ZHU is recorded teaching in 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

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 200

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

Meeting source records
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Student experience

the class

Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=6 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Project 3D as-built modeling and documentation
  • Visual detection, tracking, and activity recognition of construction equipment and personnel
  • Virtual construction inspection and site tour in mixed reality
  • Close range remote sensors and computing tools

Skills

  • Analyze and visualize construction project data and models using computer tools
  • Solve construction engineering and management problems using remote sensors
  • Evaluate sensing technologies and develop solutions for construction safety, productivity, and quality

Grades

Latest available · Spring 2025— 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
More grade details Grade mix, volume & source data

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.

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Selected offering source records
CIVENGR 465 · Spring 2027

Data Sensing and Analysis in Construction

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:240:026616",
    "course_id": "CIVENGR 465",
    "course_uid": "course_e2d9d07369a99cb830a7fb08",
    "term_id": "1274",
    "source_course_id": "026616",
    "source_subject_id": "240",
    "title": "Data Sensing and Analysis in Construction",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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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 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "88ec2c59d7ce4c873fb19efb7e0ecc9341c37745c962205658406645b81ab06c",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}