Generative Artificial Intelligence for Engineering Applications

Covers generative AI fundamentals and chatbot development, including RAG, security, and privacy.

offering recorded3 credits
Recorded instructors · Fall 2026 Anthony OrzechowskiRajkamal Gopinath

Summary

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Recent recorded grades — Fall 2025: 3.98 GPA, 100.0% A/AB (n=24 letter grades).

Grade history

average GPA
letter grades
A
AB
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F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing or declared in Capstone Certificate in Artificial Intelligence for Engineering Data Analytics

    • Graduate/professional standing
    • declared in Capstone Certificate in Artificial Intelligence for Engineering Data Analytics
    take one
EPD 522

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

Prerequisite text tree
  • Any of
    • Graduate/professional standing
    • declared in Capstone Certificate in Artificial Intelligence for Engineering Data Analytics

Professors

Fall 2026

Recent recorded grades — Fall 2025: 3.98 GPA, 100.0% A/AB (n=24 letter grades). Includes jointly taught sections.

Recent recorded grades — Fall 2025: 3.98 GPA, 100.0% A/AB (n=24 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

ANTHONY ORZECHOWSKI is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

RAJKAMAL GOPINATH is recorded teaching in 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 003Online Only15 / 300

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 2025: 3.98 GPA, 100.0% A/AB (n=24 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Generative AI fundamentals
  • Generative AI tools
  • Memory models

Skills

  • Chatbot application development
  • Retrieval-augmented generation (RAG)
  • AI security and privacy analysis

Grades

Latest available · Fall 2025— 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
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

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Selected offering source records
EPD 522 · Fall 2026

Generative Artificial Intelligence for Engineering Applications

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": "1272:348:027023",
    "course_id": "EPD 522",
    "course_uid": "course_da816ef686d9866e8b0af25e",
    "term_id": "1272",
    "source_course_id": "027023",
    "source_subject_id": "348",
    "title": "Generative Artificial Intelligence for Engineering Applications",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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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": "13e6a2315b7fc4ae0677b3ccccbbe06dee04748737f11e99ed74db496a2fbd93",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}