Fall 2026

Data Science Practicum

Turns statistics concepts into practice through data science practicums inspired by realistic projects.

offering recorded3 credits
Recorded instructors · Fall 2026 Bret Larget3.5/5Zhanpeng Xu

Summary

1 / 6

Historical reviews of Hyunseung Kang: The class is a lot of work, with grades heavily dependent on randomly assigned group projects and unclear grading criteria.

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

  • Declared in Statistics: Statistics and Data Science MS
STAT 628

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

Prerequisite text tree
  • Declared in Statistics: Statistics and Data Science MS

Professors

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

Raw average: 3.31/5 from 29 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

Historical reviews of Hyunseung Kang: Hyunseung Kang is described as beneficial for data science careers but criticized for rigid statistical preferences over machine learning. Reviewers report unclear grading criteria, unfair assessments based on randomized group projects, and a lack of explanatory feedback, creating significant frustration despite the course's potential utility.

HYUNSEUNG KANG is recorded teaching in Spring 2018, Spring 2019, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024. 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 001Classroom Instruction18 / 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

Historical reviews of Hyunseung Kang: Hyunseung Kang's course is beneficial for data science careers but involves significant workload and program scheduling conflicts.

Recent recorded grades — Spring 2025: 3.73 GPA, 84.6% A/AB (n=13 letter grades); Fall 2025: 3.72 GPA, 88.9% A/AB (n=18 letter grades); Spring 2026: 3.88 GPA, 100.0% A/AB (n=21 letter grades).

difficulty & workload

Historical reviews of Hyunseung Kang: The class is a lot of work, with grades heavily dependent on randomly assigned group projects and unclear grading criteria.

Historical reviews of Hyunseung Kang: Reviewers report Kang dislikes machine learning work, insisting on statistical answers, which limits learning for some students.

Topics

  • Data science practicums
  • Complex data sets
  • Graphical interpretation

Skills

  • Communications skills for data science
  • Translating project descriptions and complex data into summarized analysis
  • Written and graphical interpretation for decision makers

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 628 · Fall 2026

Data Science Practicum

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": "1272:932:024364",
    "course_id": "STAT 628",
    "course_uid": "course_dec5d5852b060024b87f5ac8",
    "term_id": "1272",
    "source_course_id": "024364",
    "source_subject_id": "932",
    "title": "Data Science Practicum",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring, Summer"
  }
]
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Student reviews

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": "13c4718399b085b8b35f8f2efd1bdd9688d958496d62e039f01b5ad3d542314b",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}