Spring 2027

Seminar Advanced

Advanced seminar involving research literature and current departmental research, focusing on scientific rigor, data interpretation, and presentation skills.

offering recorded1 credits
Recorded instructors · Spring 2027 J.P. Van Pijkeren

Summary

1 / 3

Recent recorded grades — Spring 2025: 3.82 GPA, 93.3% A/AB (n=30 letter grades); Fall 2025: 3.91 GPA, 96.9% A/AB (n=32 letter grades); Spring 2026: 3.85 GPA, 96.7% A/AB (n=30 letter grades).

What you’ll be able to do

  • Identify and summarize key aspects of scientific rigor and reproducibility, including determination of sample size, statistical significance, measures of outliers, and experimental replicates

  • Describe the features of high-quality presentations and best practices in scientific data/information interpretation

  • Apply and demonstrate best practices in the effective presentation of complex data/information to diverse scientific audience

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

Graduate/professional standing

  • Graduate/professional standing
FOODSCI 900

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

Prerequisite text tree
  • Graduate/professional standing

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
SEM 001Classroom Instruction0 / 400

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: 3.82 GPA, 93.3% A/AB (n=30 letter grades); Fall 2025: 3.91 GPA, 96.9% A/AB (n=32 letter grades); Spring 2026: 3.85 GPA, 96.7% A/AB (n=30 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Research literature and current departmental research.
  • Scientific rigor and reproducibility, including sample size, statistical significance, outliers, and experimental replicates.
  • Features of high-quality presentations and best practices in scientific data/information interpretation.
  • Effective presentation of complex data/information to diverse scientific audiences.

Skills

  • Identify and summarize scientific rigor and reproducibility concepts, including sample size, statistical significance, outliers, and experimental replicates.
  • Describe features of high-quality presentations and best practices for interpreting scientific data and information.
  • Apply and demonstrate best practices for effectively presenting complex data and information to diverse scientific audiences.

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

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

1280 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
FOODSCI 900 · Spring 2027

Seminar Advanced

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": "1274:390:007635",
    "course_id": "FOODSCI 900",
    "course_uid": "course_fdec76fe06d343439321389b",
    "term_id": "1274",
    "source_course_id": "007635",
    "source_subject_id": "390",
    "title": "Seminar Advanced",
    "credits_min": 1,
    "credits_max": 1,
    "typically_offered": "Fall, Spring"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews

No records available.

Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
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": "83f379ab2949a6d653382c53d01a4aa02dd2bb85aa1ffcfeb665703bba6642c1",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}