Spring 2027

Molecular Approaches for Crop Improvement

Surveys molecular methods for developing improved crop plants, covering CRISPR, T-DNA transformation, RNAi, and gene editing systems.

offering recorded3 credits
Recorded instructors · Spring 2027 Patrick Krysan

Summary

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Recent recorded grades — Spring 2026: 3.90 GPA, 90.0% A/AB (n=10 letter grades).

What you’ll be able to do

  • Critically read scientific journal articles.

  • Evaluate and discuss scientific results as reported in journal articles.

  • Describe how discoveries in basic science lead to practical developments that drive crop improvement.

  • Describe the following molecular methods: Genome Sequencing, plant transformation, Gene Silencing, CRISPR-Cas9 genome editing, base-editors, and other genome manipulation methods based on CRISPR-Cas9.

  • Utilize the following bioinformatics tools: BLAST searching, EFP Browser, and gRNA design tools transformation, Gene Silencing, and CRISPR-based gene editing.

  • Demonstrate communication skills to multiple audiences.

  • Develop critical thinking skills to design experiments and peer review of scientific papers.

Source: UW Guide

Grade history

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

Prerequisites

Course map

(BIOCHEM 501 or 507) and (GENETICS 466 or 467); or graduate/professional standing

PLANTSCI 550

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

Prerequisite text tree

Professors

Spring 2027

Recent recorded grades — Spring 2026: 3.90 GPA, 90.0% A/AB (n=10 letter grades).

Historical instructors & teaching patterns

PATRICK KRYSAN is recorded teaching in 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

Spring 2027

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SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 400

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

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Student experience

the class

Recent recorded grades — Spring 2026: 3.90 GPA, 90.0% A/AB (n=10 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • CRISPR, T-DNA transformation, RNAi, and gene editing systems.
  • Linking basic science discoveries to practical crop improvement.

Skills

  • Describe molecular methods including genome sequencing, transformation, gene silencing, and CRISPR-Cas9 editing.
  • Utilize bioinformatics tools such as BLAST, EFP Browser, and gRNA design tools.
  • Design experiments and perform peer review of scientific papers.

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
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.

Selected offering source records
PLANTSCI 550 · Spring 2027

Molecular Approaches for Crop Improvement

Recorded 2026-10-14
Raw records
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    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:760:009948",
    "course_id": "PLANTSCI 550",
    "course_uid": "course_c51bfc227339f6056512b197",
    "term_id": "1274",
    "source_course_id": "009948",
    "source_subject_id": "760",
    "title": "Molecular Approaches for Crop Improvement",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall"
  }
]
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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "0f7a02d2225209a84ff7c72da4d0dd4028cf19b474a2d9aca2e6bf1bb2a9fe3a",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}