Fall 2026

Statistical Learning

STAT 615 develops mathematical theories and statistical concepts for understanding, predicting from, and criticizing data models.

offering recorded3 credits
Recorded instructors · Fall 2026 Vivak Patel2.6/5JIAQI Tang

Summary

1 / 3

Recent recorded grades — Spring 2025: 3.43 GPA, 69.6% A/AB (n=23 letter grades); Fall 2025: 3.42 GPA, 77.8% A/AB (n=18 letter grades); Spring 2026: 3.17 GPA, 47.6% A/AB (n=21 letter grades).

Grade history

average GPA
letter grades
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AB
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All recorded terms · compare terms & instructors

Prerequisites

Course map

Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP

    • Declared in Statistics
    • Statistics and Data Science MS
    • Data Science MS
    • Data Engineering MS
    take one
STAT 615

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

Prerequisite text tree
  • Any of
    • Declared in Statistics
    • Statistics and Data Science MS
    • Data Science MS
    • Data Engineering MS

Professors

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

Raw average: 1.86/5 from 28 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 — Spring 2020: 3.79 GPA, 92.9% A/AB (n=28 letter grades). Includes jointly taught sections.

Recent recorded grades — Spring 2025: 3.43 GPA, 69.6% A/AB (n=23 letter grades); Fall 2025: 3.42 GPA, 77.8% A/AB (n=18 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

JIAQI TANG is recorded teaching in Spring 2025, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

VIVAK PATEL is recorded teaching in Spring 2020. 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 002Classroom Instruction8 / 240

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: 3.43 GPA, 69.6% A/AB (n=23 letter grades); Fall 2025: 3.42 GPA, 77.8% A/AB (n=18 letter grades); Spring 2026: 3.17 GPA, 47.6% A/AB (n=21 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Complexity theory
  • Hilbert spaces
  • Gaussian processes
  • Variational Analysis
  • Concentration inequalities

Skills

  • Understanding properties of models and methods for prediction and decision making
  • Criticizing models, methods, and their consequences

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
STAT 615 · Fall 2026

Statistical Learning

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": "1272:932:025356",
    "course_id": "STAT 615",
    "course_uid": "course_a5f4446c2434cfcb1b7e6969",
    "term_id": "1272",
    "source_course_id": "025356",
    "source_subject_id": "932",
    "title": "Statistical Learning",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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Madgrades

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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": "cc598cca7a28d2533e6c61093d04aafcc76f0540acacc98ca78dae68f8bc0d84",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}