Fall 2026

Engineering Principles of Molecules, Cells, and Tissues

BME 330 introduces engineering principles of molecules, cells, and tissues through kinetics and transport analysis.

offering recorded4 credits
Recorded instructors · Fall 2026 Darilis Suarez-Gonzalez3.5/5Ella ZimmermannEthan Mendenhall

Summary

1 / 7

Workload difficulty varies by perspective, with one review citing easy grades and another noting rigid exam requirements that must be followed.

Grade history

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

Prerequisites

Course map

(E M A 201,PHYSICS 201, 207, or 247), (MATH 319, 320, or 375) and (CHEM 104, 109, or 116), or member of Engineering Guest Students

BME 330 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
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 2.75/5 from 4 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

For this course: 2.3/5 raw quality · 3.0/5 difficulty · 3 reviews

RMP profile ↗ · All captured review dates; profile matched by name.

Darilis Suarez-Gonzalez explains complex concepts clearly and solves problems stepwise, while remaining accessible and offering exam preparation advice.

Other reviewers criticize her as disorganized and lacking content grasp, claiming exams require her specific methods and that students learn little despite easy grades.

Recent recorded grades — Fall 2023: 3.63 GPA, 82.5% A/AB (n=63 letter grades); Fall 2024: 3.72 GPA, 85.4% A/AB (n=41 letter grades); Fall 2025: 3.73 GPA, 92.7% A/AB (n=55 letter grades).

Historical instructors & teaching patterns

DARILIS SUAREZ-GONZALEZ is recorded teaching in Fall 2018, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025. 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 Instruction62 / 602
DIS 301Classroom Instruction31 / 302
DIS 302Classroom Instruction31 / 300

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

Reviews for Darilis Suarez-Gonzalez are sharply divided, with some praising her clear explanations and accessibility while others criticize her as disorganized and lacking subject mastery.

Recent recorded grades — Fall 2023: 3.63 GPA, 82.5% A/AB (n=63 letter grades); Fall 2024: 3.72 GPA, 85.4% A/AB (n=41 letter grades); Fall 2025: 3.73 GPA, 92.7% A/AB (n=55 letter grades).

difficulty & workload

Workload difficulty varies by perspective, with one review citing easy grades and another noting rigid exam requirements that must be followed.

Students report conflicting experiences regarding lecture clarity and organization, with TAs providing supplementary support in sections.

Topics

  • Reaction rate, stoichiometry, and equilibrium.
  • Momentum and mass transport.
  • Interaction between transport and kinetics in biological systems.

Skills

  • Analysis of biological systems using kinetics and transport principles.
  • Application of reaction rate, stoichiometry, and equilibrium concepts.
  • Understanding interaction between transport and kinetics.

Grades

Latest available · Fall 2025— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
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Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2025 · 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

1320 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
BME 330 · Fall 2026

Engineering Principles of Molecules, Cells, and Tissues

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": "1272:207:024657",
    "course_id": "BME 330",
    "course_uid": "course_8a265fd197218e66e32da298",
    "term_id": "1272",
    "source_course_id": "024657",
    "source_subject_id": "207",
    "title": "Engineering Principles of Molecules, Cells, and Tissues",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Fall"
  }
]
Rate My Professors

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 2026-09-07

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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "7836d726635c697ef41fd0746c7c24cbf69ecd96645a2fe5b9b80351aacf491e",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}