Fall 2026

Introduction to Industrial Statistics

Introduction to industrial statistics covering probability, hypothesis testing, and regression using Excel.

offering recorded3 credits
Recorded instructors · Fall 2026 Andi Wang

Summary

1 / 7

Historical reviews of Amanda Smith, Hannah Silber: Homework and weekly quizzes carry significant weight, making consistent effort crucial. The group project is noted as tedious and requiring attention, while exams are generally considered fair and based on reviewed material.

Grade history

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

Prerequisites

Course map

(MATH 211, 217, or 221) or member of Engineering Guest Students

ISYE 210 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

Recent recorded grades — Fall 2024: 3.44 GPA, 67.2% A/AB (n=119 letter grades); Fall 2025: 3.79 GPA, 93.1% A/AB (n=130 letter grades).

Historical instructors & teaching patterns

Historical reviews for Hannah Silber highlight her helpfulness, fair grading, and genuine interest in student success, though some note passive-aggressive behavior regarding attendance and unhelpful lecture pacing. Amanda Smith is described as caring with clear lectures, though her group projects are considered tedious and time-consuming.

AMANDA SMITH is recorded teaching in Fall 2021, Fall 2022, Fall 2023. Recorded history may be incomplete and does not establish a future schedule.

ANDI WANG is recorded teaching in Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

HANNAH SILBER is recorded teaching in Spring 2022, Spring 2023, Spring 2024, Spring 2025, Spring 2026. 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 Instruction199 / 2041
DIS 301Classroom Instruction31 / 360
DIS 302Classroom Instruction36 / 360
DIS 303Classroom Instruction36 / 361
DIS 304Classroom Instruction30 / 300
DIS 305Classroom Instruction30 / 300
DIS 307Classroom Instruction36 / 360

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

Historical instructors Hannah Silber and Amanda Smith are described as helpful, fair, and caring, with clear exams and manageable workloads. However, Silber received mixed feedback regarding passive-aggressive behavior and lecture relevance.

Recent recorded grades — Spring 2025: 3.81 GPA, 91.2% A/AB (n=113 letter grades); Fall 2025: 3.79 GPA, 93.1% A/AB (n=130 letter grades); Spring 2026: 3.88 GPA, 95.5% A/AB (n=202 letter grades).

difficulty & workload

Historical reviews of Amanda Smith, Hannah Silber: Homework and weekly quizzes carry significant weight, making consistent effort crucial. The group project is noted as tedious and requiring attention, while exams are generally considered fair and based on reviewed material.

Historical reviews of Amanda Smith, Hannah Silber: Students appreciate clear grading criteria, quick online responses, and available lecture slides. Frustrations include Silber's passive-aggressive attitude regarding attendance and lectures that move too quickly on relevant topics or cover less important material.

Topics

  • Probability distributions and descriptive statistics
  • Design of experiments
  • Regression and correlation

Skills

  • Hypothesis testing and confidence intervals
  • Regression and correlation analysis
  • Data analysis using Microsoft Excel

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

Where this course fits relative to

Latest available grades · Spring 2026 · 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

1283 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.

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Selected offering source records
ISYE 210 · Fall 2026

Introduction to Industrial Statistics

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": "1272:490:026005",
    "course_id": "ISYE 210",
    "course_uid": "course_75474c11dc2b9f0b6f591be5",
    "term_id": "1272",
    "source_course_id": "026005",
    "source_subject_id": "490",
    "title": "Introduction to Industrial Statistics",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-09-07

Download the original dataset
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": "c048414bdd177b1cfd36af356caee8e3118d67fec5a37c8829fad299e64344bc",
  "requirements_status": "needs_review",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}