Fall 2026

Quantitative Methods for Interdisciplinary Engineering

EPD 652 provides a review of quantitative engineering topics including vector calculus, differential equations, linear algebra, and numerical methods.

offering recorded3 credits

Recorded instructors · Fall 2026 Nicole Zacharia

Summary

Lectures are small, with a median of 13 enrolled students in the recorded sections.

Section enrollment · Fall 2026 snapshot ↗

Grade history

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average GPA
letter grades

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Prerequisites

Course map

Graduate/professional standing

Graduate/professional standing

EPD 652

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Graduate/professional standing

Professors

Fall 2026

Nicole Zacharia

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Historical instructors & teaching patterns

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Calendar & sections

Fall 2026

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Section	Mode	Enrolled / capacity	Waitlist
LEC 001	Online Only	13 / 24	0

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

Review of topics for engineering applications, including vector calculus, differential equations, linear algebra, complex analysis, Laplace and Fourier transforms, optimization, and numerical methods.

difficulty & workload

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Topics

Vector calculus, differential equations, linear algebra, complex analysis
Laplace and Fourier transforms, optimization, numerical methods

Skills

Review of vector calculus, differential equations, linear algebra, complex analysis, Laplace and Fourier transforms, optimization, and numerical methods

Grades

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Sources & history

UW–Madison

Catalog & offerings

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Selected offering source records

EPD 652 · Fall 2026

Quantitative Methods for Interdisciplinary Engineering

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": "1272:348:027427",
    "course_id": "EPD 652",
    "course_uid": "course_0e7019d308bee578b2bb52b4",
    "term_id": "1272",
    "source_course_id": "027427",
    "source_subject_id": "348",
    "title": "Quantitative Methods for Interdisciplinary Engineering",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]

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Model outputs & technical records

nvidia/Qwen3.6-35B-A3B-NVFP4

LLM outputs across runs

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Full model traces

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Model & dataset provenance

{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "0cbe08937b6806bf5f6c0745dfbb826a61d4e87249fb3a72257641a2fe927c9d",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}