Fall 2026

Introductory Data Science for the Agricultural and Life Sciences

Introductory data science course teaching coding and numerical analysis for agricultural and life sciences challenges.

offering recorded3 credits
Recorded instructors · Fall 2026 Paul Stoy3.9/5

Summary

1 / 3

Recent recorded grades — Fall 2023: 3.40 GPA, 75.6% A/AB (n=45 letter grades); Fall 2024: 3.50 GPA, 79.2% A/AB (n=48 letter grades); Fall 2025: 3.60 GPA, 78.7% A/AB (n=61 letter grades).

Grade history

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

Prerequisites

Course map

(CHEM 103, 109, or 115) and (MATH 112, 114, 217 or placement into MATH 211 or 221)

BSE 380 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Fall 2026
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 5.00/5 from 4 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 — Fall 2023: 3.40 GPA, 75.6% A/AB (n=45 letter grades); Fall 2024: 3.50 GPA, 79.2% A/AB (n=48 letter grades); Fall 2025: 3.60 GPA, 78.7% A/AB (n=61 letter grades).

Historical instructors & teaching patterns

PAUL STOY is recorded teaching in Fall 2021, Fall 2022, Fall 2023, Fall 2024, 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

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction64 / 650

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 — Fall 2023: 3.40 GPA, 75.6% A/AB (n=45 letter grades); Fall 2024: 3.50 GPA, 79.2% A/AB (n=48 letter grades); Fall 2025: 3.60 GPA, 78.7% A/AB (n=61 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Numerical analyses
  • Real-world data science challenges in agricultural and life sciences

Skills

  • Computer coding using numerical software
  • Interpretation of large datasets

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

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2025 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1320 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

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.

Download part 1
Selected offering source records
BSE 380 · Fall 2026

Introductory Data Science for the Agricultural and Life Sciences

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": "1272:112:026085",
    "course_id": "BSE 380",
    "course_uid": "course_b1e74384649dc59474b8332a",
    "term_id": "1272",
    "source_course_id": "026085",
    "source_subject_id": "112",
    "title": "Introductory Data Science for the Agricultural and Life Sciences",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
Rate My Professors

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.

Explore recorded grades
Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "9863d8b4d7213df151710b6b057265c16b9e4c0fccd503d50c3de90e854a5992",
  "requirements_status": "needs_review",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}