Engineering Analysis for Decision Making

EPD 610 teaches quantitative and qualitative analysis, visualization, and structured decision-making methodologies for engineering applications.

offering recorded3 credits
Recorded instructors · Fall 2026 Raj Kamal

Summary

1 / 3

Recent recorded grades — Spring 2025: 3.62 GPA, 88.2% A/AB (n=17 letter grades); Fall 2025: 3.68 GPA, 90.9% A/AB (n=11 letter grades); Spring 2026: 3.65 GPA, 88.2% A/AB (n=17 letter grades).

Grade history

average GPA
letter grades
A
AB
B
BC
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F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing or declared in Capstone Certificate in Applied Engineering Management

    • Graduate/professional standing
    • declared in Capstone Certificate in Applied Engineering Management
    take one
EPD 610

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

Prerequisite text tree
  • Any of
    • Graduate/professional standing
    • declared in Capstone Certificate in Applied Engineering Management

Professors

Fall 2026

Recent recorded grades — Spring 2025: 3.62 GPA, 88.2% A/AB (n=17 letter grades); Fall 2025: 3.68 GPA, 90.9% A/AB (n=11 letter grades); Spring 2026: 3.65 GPA, 88.2% A/AB (n=17 letter grades).

Historical instructors & teaching patterns

RAJ KAMAL is recorded teaching in Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 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 001Online Only11 / 150

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 2025: 3.62 GPA, 88.2% A/AB (n=17 letter grades); Fall 2025: 3.68 GPA, 90.9% A/AB (n=11 letter grades); Spring 2026: 3.65 GPA, 88.2% A/AB (n=17 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Materials variations, production, process control, and forecasting
  • Engineering applications

Skills

  • Quantitative and qualitative analysis and visualization
  • Structured decision-making methodology
  • Persuasive problem-solving and decision making

Grades

Latest available · Spring 2026— 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 Spring 2026

More grade details Grade mix, volume & source data

Not enough comparable courses for Fall 2026 in UW–Madison.

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
EPD 610 · Fall 2026

Engineering Analysis for Decision Making

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": "1272:348:026288",
    "course_id": "EPD 610",
    "course_uid": "course_9b2b04b8fd86f219b149592b",
    "term_id": "1272",
    "source_course_id": "026288",
    "source_subject_id": "348",
    "title": "Engineering Analysis for Decision Making",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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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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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
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "b9b2fb31d56f8bce0b03ba56ebc68bb8b597a268221e5020cc910a8674a1cdf8",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}