Spring 2027

Systems Biology: Mammalian Signaling Networks

Systems Biology: Mammalian Signaling Networks covers experimental/mathematical modeling of gene/protein networks and mammalian systems, including ECM structure/function and engineering applications.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 6

Past student reviews · Pamela Kreeger

The course required heavy journal readings prior to lectures, and students without fast note-taking skills needed to copy notes from peers.

What you’ll be able to do

  • Describe the structure and function of individual extracellular matrix (ECM) components and their relevance to physiological and pathophysiological processes

  • Apply biological knowledge of the ECM to inform the manipulation, mimicking, or engineering of ECM-based systems

  • Critically evaluate ECM engineering approaches

  • Apply advanced knowledge of bioconjugate chemistry to design dynamic scaffold platforms

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

(MATH 319, 320, or 375), (B M E 510,ZOOLOGY 470, 570,PSYCH/​ZOOLOGY 523, or BIOCORE 383) and Junior Standing, graduate/professional standing, or member of Engineering Guest Students

BME 556

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

Prerequisite text tree

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

PAMELA KREEGER is recorded teaching in Spring 2013, Spring 2015, Spring 2017, Spring 2020, Spring 2022. 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

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

Meeting source records

No records available.

Student experience

the class

Past student reviews · Pamela Kreeger

One student found the course bland and highly specific, noting that weekly research discussions made the content inapplicable.

Recent recorded grades — Spring 2017: 3.35 GPA, 73.1% A/AB (n=26 letter grades); Spring 2020: 3.67 GPA, 95.0% A/AB (n=20 letter grades); Spring 2022: 3.48 GPA, 65.0% A/AB (n=20 letter grades).

difficulty & workload

Past student reviews · Pamela Kreeger

The course required heavy journal readings prior to lectures, and students without fast note-taking skills needed to copy notes from peers.

Past student reviews · Pamela Kreeger

Pamela Kreeger wrote and talked too fast in lecture, abruptly switching pages before students could finish, which hindered note-taking.

Topics

  • Gene/protein networks and mammalian systems
  • Extracellular matrix (ECM) components and their physiological/pathophysiological roles
  • Bioconjugate chemistry for dynamic scaffold platform design

Skills

  • Manipulate, mimic, or engineer extracellular matrix (ECM)-based systems using biological knowledge
  • Critically evaluate extracellular matrix (ECM) engineering approaches
  • Design dynamic scaffold platforms by applying advanced knowledge of bioconjugate chemistry
  • Perform critical analysis of relevant publications in systems biology

Grades

Latest available · Spring 2022— 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 2022

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

No offering records for the selected term.

Raw records
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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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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": "ca8b97566b263d24e8226f708a6fda8ba57a1ac13476969927d51e8ba7e8a08b",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}