Structural Analysis II

Structural Analysis II covers displacement methods, slope deflection, moment distribution, and stiffness matrix derivation for frames.

offering recorded3 credits
Recorded instructors · Fall 2026 Gustavo Parra-Montesinos3.3/5

Summary

1 / 2

Recent recorded grades — Fall 2021: 3.60 GPA, 80.0% A/AB (n=5 letter grades); Fall 2022: 3.25 GPA, 50.0% A/AB (n=10 letter grades); Fall 2023: 3.12 GPA, 37.5% A/AB (n=8 letter grades).

Grade history

average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

CIV ENGR 340, graduate/professional standing, or member of Engineering Guest Students

    • CIVENGR 340
    • graduate/professional standing
    • member of Engineering Guest Students
    take one
CIVENGR 440

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

Prerequisite text tree
  • Any of
    • CIVENGR 340
    • graduate/professional standing
    • member of Engineering Guest Students

Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 1.50/5 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 — Fall 2021: 3.60 GPA, 80.0% A/AB (n=5 letter grades); Fall 2022: 3.25 GPA, 50.0% A/AB (n=10 letter grades); Fall 2023: 3.12 GPA, 37.5% A/AB (n=8 letter grades).

Historical instructors & teaching patterns

GUSTAVO PARRA-MONTESINOS is recorded teaching in Fall 2012, Fall 2013, Fall 2014, Spring 2018, Spring 2019, Spring 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025. 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

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SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction14 / 200

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 — Fall 2021: 3.60 GPA, 80.0% A/AB (n=5 letter grades); Fall 2022: 3.25 GPA, 50.0% A/AB (n=10 letter grades); Fall 2023: 3.12 GPA, 37.5% A/AB (n=8 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Slope deflection and moment distribution methods.
  • Stiffness matrices for two-dimensional frames.
  • Shear deformations.

Skills

  • Analyze structures using displacement methods.
  • Derive stiffness matrices for 2D frames.
  • Use commercial structural analysis software.

Grades

Latest available · Fall 2023— 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 Fall 2023

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.

Selected offering source records
CIVENGR 440 · Fall 2026

Structural Analysis II

Recorded 2026-09-07
Raw records
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  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:240:003390",
    "course_id": "CIVENGR 440",
    "course_uid": "course_cb007efe9c3aa91fefcbb9c8",
    "term_id": "1272",
    "source_course_id": "003390",
    "source_subject_id": "240",
    "title": "Structural Analysis II",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring"
  }
]
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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
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  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "0c522fbc6c5d24bacf178082ad583c71bc873528c6733d7721107cf007a12e3a",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}