Spring 2027

Data Science Computing Project

Develops tools for collecting, managing, and analyzing large data sets using Linux, R, distributed computing, editors, and git/github through team-based data analysis projects.

offering recorded3 credits
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 3

Recent recorded grades — Spring 2025: 3.72 GPA, 88.9% A/AB (n=9 letter grades); Fall 2025: 3.89 GPA, 95.7% A/AB (n=23 letter grades); Spring 2026: 3.82 GPA, 90.9% A/AB (n=11 letter grades).

What you’ll be able to do

  • Collect and manage data and write programs and documentation via tools suited to large computations. Use the Linux operating system and write shell scripts. Use an editor to write and manage local and remote files. Use the git/github version control system to track changes and manage collaboration.

  • Be able to use Linux, R, and the Slurm job scheduler to run tens of parallel jobs on the Statistics High Performance Computing (HPC) Cluster. Use Linux, R, and distributed high-throughput computing via HTCondor to run thousands of parallel jobs at UW's Center for High-Throughput Computing (CHTC).

  • Work in teams to research, develop, write, and make three presentations including one on a data analysis proposal consisting of data, a question, and a suggested analysis; one on a draft data analysis; and one on a revised data analysis.

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Declared in Statistics MS or Statistics VISP

  • Declared in Statistics MS or Statistics VISP
STAT 605

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

Prerequisite text tree
  • Declared in Statistics MS or Statistics VISP

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 150

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
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Student experience

the class

Recent recorded grades — Spring 2025: 3.72 GPA, 88.9% A/AB (n=9 letter grades); Fall 2025: 3.89 GPA, 95.7% A/AB (n=23 letter grades); Spring 2026: 3.82 GPA, 90.9% A/AB (n=11 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Collection, management, and analysis of large data sets
  • Techniques and programs: Linux, R, distributed computing, editors, git/github
  • High Performance Computing (HPC) and parallel job scheduling
  • Team-based data analysis project lifecycle: proposal, draft, and revision

Skills

  • Collecting and managing data using tools for large computations
  • Using Linux and writing shell scripts
  • Managing local and remote files with an editor
  • Tracking changes and managing collaboration with git/github
  • Running parallel jobs on HPC clusters using Linux, R, and Slurm
  • Distributed high-throughput computing via HTCondor
  • Team-based research, development, writing, and presentation of data analysis projects

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

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 Spring 2027 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.

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Selected offering source records
STAT 605 · Spring 2027

Data Science Computing Project

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:932:025309",
    "course_id": "STAT 605",
    "course_uid": "course_6fd1a9b69697ce26f5edccf4",
    "term_id": "1274",
    "source_course_id": "025309",
    "source_subject_id": "932",
    "title": "Data Science Computing Project",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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Student reviews

Original comments behind the course and instructor summaries.

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No records available.

Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "ef77c3d5cb8e4d6edb0a2b3272866fc8adb19a163632e9bc13ff39cd8b24f833",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}