Recent recorded grades — Spring 2022: 3.77 GPA, 93.3% A/AB (n=15 letter grades); Spring 2023: 3.78 GPA, 100.0% A/AB (n=9 letter grades); Spring 2026: 3.75 GPA, 100.0% A/AB (n=6 letter grades).
Introduction to Underground Openings Engineering
Introduction to underground openings engineering covering subsurface stress, rock failure criteria, and design of openings in various rock types using stereonets and stabilization methods.
Summary
Recent recorded grades — Spring 2022: 3.77 GPA, 93.3% A/AB (n=15 letter grades); Spring 2023: 3.78 GPA, 100.0% A/AB (n=9 letter grades); Spring 2026: 3.75 GPA, 100.0% A/AB (n=6 letter grades).
What you’ll be able to do
Predict stress concentrations around underground openings
Identify weak points around underground openings in conjunction with the rock mass type information
Design openings to minimize hazard
Design reinforcement strategies
Perform advanced design strategies
Source: UW Guide 1· UW Guide 2
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapCIV ENGR/G L E 330,GEOSCI/CIV ENGR/G L E/M S & E 474 or concurrent enrollment, graduate/professional standing, or member of Engineering Guest Students
- CIVENGR/GLE 330 · prior_or_concurrent
- CIVENGR/GEOSCI/GLE/MS&E 474 · prior_or_concurrent
- graduate/professional standing, or member of Engineering Guest Students
“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
- CIVENGR/GLE 330 · prior_or_concurrent
- CIVENGR/GEOSCI/GLE/MS&E 474 · prior_or_concurrent
- graduate/professional standing, or member of Engineering Guest Students
Professors
Spring 2027Historical instructors & teaching patterns
HIROKI SONE is recorded teaching in Spring 2022, Spring 2023, 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 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 0 / 25 | 0 |
| LEC 001 | Classroom Instruction | 0 / 25 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
Student experience
the class
Recent recorded grades — Spring 2022: 3.77 GPA, 93.3% A/AB (n=15 letter grades); Spring 2023: 3.78 GPA, 100.0% A/AB (n=9 letter grades); Spring 2026: 3.75 GPA, 100.0% A/AB (n=6 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Subsurface stress and rock failure criteria
- Openings in competent, layered, and weak rock
- Stereographic projections and block theory
- Rock bolts and stabilization methods
Skills
- Predict stress concentrations around underground openings
- Identify weak points in rock masses
- Design underground openings for safety
- Design reinforcement strategies
- Apply stereographic projections and block theory
Grades
Latest available · Spring 2026— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Spring 2026
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
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
Introduction to Underground Openings Engineering
Recorded 2026-10-14Introduction to Underground Openings Engineering
Recorded 2026-10-14Raw records
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]Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
No records available.
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
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