Fall 2026

Introduction to Quantum Data Science

Introduction to quantum data science covering probability, statistics, and machine learning applied to quantum information science.

offering recorded3 credits
Recorded instructors · Fall 2026 Yazhen Wang3.4/5

Summary

Lectures are small, with a median of 6 enrolled students in the recorded sections.

Section enrollment · Fall 2026 snapshot ↗

Grade history

average GPA
letter grades

No recorded grade history.

All recorded terms · compare terms & instructors

Prerequisites

Course map

STAT 601, (STAT 609 and 610), (STAT 611 and 612), or (MATH/​STAT 709 and 710), and graduate/professional standing

STAT 780

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

Prerequisite text tree

Professors

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

Raw average: 2.90/5 from 10 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.

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Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

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SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction6 / 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

Quantum computation issues, including probability, statistics, sensing, information, machine learning, and applying data science to quantum information science.

difficulty & workload

No workload feedback recorded.

Topics

  • Quantum computation, probability, statistics, sensing, information, and machine learning.
  • Data science applications in quantum information science.

Skills

  • Applying data science to quantum information science.
  • Analyzing quantum computation issues using probability, statistics, and machine learning.

Grades

Instructor

Grade distribution · % of letter grades

No grades available yet.

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Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

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Selected offering source records
STAT 780 · Fall 2026

Introduction to Quantum Data Science

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": "1272:932:026626",
    "course_id": "STAT 780",
    "course_uid": "course_9b8b3606500d06264fde7efc",
    "term_id": "1272",
    "source_course_id": "026626",
    "source_subject_id": "932",
    "title": "Introduction to Quantum Data Science",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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Madgrades

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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": "dbfba6808f1e57cf7cf58e2c869cd078764eb767e1529df5b37fcd80cd1a8838",
  "requirements_status": "needs_review",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}