Spring 2027

Experimental Design and Analysis in Biotechnology

Covers descriptive and inferential statistics applied to biotechnology, focusing on experimental design, quantitative data analysis, and bioinformatic evaluation of molecular data sets.

offering recorded3 credits
Recorded instructors · Spring 2027 Natalie Betz

Summary

1 / 2

Grade outcomes are close to the average across UW–Madison courses.

Recorded grades · all terms ↗

What you’ll be able to do

  • Apply statistical methods that are commonly used in experimental design in biotechnology research

  • Explain the rationale behind statistical procedures as it relates to experimental design

  • Select an appropriate statistical method and design experiments for a given experimental question

  • Implement statistical procedures using software, especially R and RStudio

  • Implement bioinformatic methods using a set of software tools

  • Communicate statistical findings in biotech research to stakeholders

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 MS Applied Biotechnology or Capstone Certificate in Applied Bioinformatics

  • Declared in MS Applied Biotechnology or Capstone Certificate in Applied Bioinformatics
ABT 720 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
  • Declared in MS Applied Biotechnology or Capstone Certificate in Applied Bioinformatics

Professors

Spring 2027
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 001Online Only0 / 1000

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

Meeting source records

No records available.

Student experience

the class

Principles of descriptive and inferential statistics with applications in biotechnology including experimental design, quantitative data analysis, and bioinformatic evaluation of complex molecular and biological data sets.

difficulty & workload

No workload feedback recorded.

Topics

  • Descriptive and inferential statistics
  • Experimental design in biotechnology
  • Quantitative data analysis
  • Bioinformatic evaluation of molecular and biological data sets

Skills

  • Applying statistical methods to experimental design in biotechnology research
  • Explaining the rationale behind statistical procedures for experimental design
  • Selecting appropriate statistical methods and designing experiments
  • Implementing statistical procedures using R and RStudio
  • Implementing bioinformatic methods using software tools
  • Communicating statistical findings in biotech research to stakeholders

Grades

Latest available · Spring 2025— 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 2025

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
ABT 720 · Spring 2027

Experimental Design and Analysis in Biotechnology

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": "1274:160:025291",
    "course_id": "ABT 720",
    "course_uid": "course_c4d871073a44dd9e519a7e61",
    "term_id": "1274",
    "source_course_id": "025291",
    "source_subject_id": "160",
    "title": "Experimental Design and Analysis in Biotechnology",
    "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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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": "1950cbe3184042e376e7208cf3811abf9debecf86788335d6d5208cf7de6d821",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}